JP7623315B2 - Information processing system, computer program, and information processing method - Google Patents

Description

This disclosure relates to an information processing system and an information processing method.

A technology is known that cross-references multiple databases to select from the second database a second group of consumers similar to a first group of consumers selected from a first database, thereby delivering advertisements to an expanded group of target consumers (see, for example, Patent Document 1).

JP 2017-097717 A

In recent years, with the spread of smartphones and tablet devices, interest in delivering advertisements to information devices has been growing. There are already multiple ad delivery providers, and advertisers can deliver advertisements to consumers through these multiple ad delivery providers.

However, the method of submitting advertisements, particularly the method of specifying the destination, differs from one ad distribution company to another, and these different specification methods make submission of advertisements complicated for advertisers.

Therefore, according to one aspect of the present disclosure, it is desirable to provide a new technology that can simplify the work of distributors with regard to content distribution, not limited to advertisement distribution.

According to one aspect of the present disclosure, an information processing system is provided that includes a partition information storage unit, a target information acquisition unit, a discrimination unit, a condition information storage unit, and a delivery request unit.

The partition information storage unit is configured to store, for each partition, partition information describing the characteristics of a set of entities having the first feature of the corresponding partition, for a plurality of partitions defined by subdividing a feature space corresponding to a set of first feature amounts related to the entities.

The target information acquisition unit is configured to acquire a second feature amount related to the target entity, the second feature amount being related to the feature described in the partition information. The discrimination unit is configured to discriminate, as a target partition, a partition in the feature space associated with the target entity by mapping the target entity to the feature space based on the partition information and the second feature amount.

The condition information storage unit is configured to store definition information that defines the distribution conditions for the distribution system for each partition of the feature space. The distribution request unit is configured to request the distribution system to distribute content according to the definition information stored in the condition information storage unit. The distribution request unit is configured to request the distribution system to distribute content according to the distribution conditions defined for the target partition.

This information processing system allows a request for content distribution to be made to the distribution system by specifying distribution conditions based on the characteristics of an entity provided by the distributor. Therefore, according to one aspect of the present disclosure, it is possible to simplify the distributor's work regarding content distribution.

According to one aspect of the present disclosure, the distribution system may be a plurality of distribution systems including a first distribution system and a second distribution system. The distribution request unit may request distribution of content from at least one of the plurality of distribution systems.

The definition information may include first definition information and second definition information. The first definition information may define first distribution conditions, which are distribution conditions for the first distribution system. The second definition information may define second distribution conditions, which are distribution conditions for the second distribution system.

The delivery request unit may request the first delivery system to perform delivery according to the first delivery conditions defined for the target section based on the first definition information. The delivery request unit may request the second delivery system to perform delivery according to the second delivery conditions defined for the target section based on the second definition information.

This information processing system allows a content distribution request to be made to each of multiple distribution systems by specifying distribution conditions that are suitable for that distribution system. Therefore, according to one aspect of the present disclosure, it is possible to simplify the work of the distributor in distributing content using multiple distribution systems.

According to one aspect of the present disclosure, the first distribution condition and the second distribution condition for each section may be distribution conditions for distributing content to an entity related to the corresponding section. The first definition information may define the first distribution condition using parameters related to distribution conditions that can be specified for the first distribution system. The second definition information may define the second distribution condition using parameters related to distribution conditions that can be specified for the second distribution system.

According to one aspect of the present disclosure, the distribution request unit may request content distribution from at least one distribution system designated by a distribution instruction source among the multiple distribution systems. With this information processing system, the distribution instruction source can realize content distribution through a desired distribution system with a simple operation, even if the distribution instruction source does not know in detail the method of designating distribution conditions for each of the multiple distribution systems.

According to one aspect of the present disclosure, the distribution request unit can select the distribution request destination from among multiple distribution systems depending on the target section. This information processing system makes it possible to realize content distribution through an appropriate distribution system.

According to one aspect of the present disclosure, the information processing system may include a performance information acquisition unit. The performance information acquisition unit may be configured to acquire performance information from at least a first distribution system and a second distribution system among the multiple distribution systems, the performance information being related to the effectiveness of content distribution through the corresponding distribution system and enabling the distribution effectiveness for each section to be determined.

The distribution request unit can select a distribution request destination according to the distribution effectiveness of the target section determined from the performance information. This information processing system makes it possible to realize content distribution through a distribution system with excellent distribution effectiveness.

According to one aspect of the present disclosure, the entity of interest may be multiple entities. The target information acquisition unit may acquire the second feature amount of each of the multiple entities. The discrimination unit may discriminate, by mapping the multiple entities to the feature space, a group of sections in the feature space to which the multiple entities are associated, as a group of target sections.

For a group of target partitions, the distribution request unit may request, for each target partition, the first distribution system to perform distribution in accordance with first distribution conditions defined for the target partition, and may request the second distribution system to perform distribution in accordance with second distribution conditions defined for the target partition.

According to one aspect of the present disclosure, the distribution request unit may select one or more sections as distribution target sections from a group of target sections, and request the distribution system to distribute the one or more sections according to distribution conditions defined for each of the one or more sections.

This information processing system can appropriately set the distribution target area based on the characteristics of the entity provided by the distributor, specify distribution conditions according to the area, and request content distribution from the distribution system.

According to one aspect of the present disclosure, the distribution request unit can determine the effectiveness of content distribution through each distribution system for the target area, and select a distribution target area from among a group of target areas based on the effectiveness of the content distribution. With this information processing system, the distribution target area can be set taking into account the distribution effectiveness.

According to one aspect of the present disclosure, the information processing system may include a performance information acquisition unit configured to acquire performance information related to the effectiveness of content distribution through the distribution system, the performance information being capable of determining the distribution effectiveness for each section. The distribution request unit may select a distribution target section from a group of target sections based on the distribution effectiveness of each target section determined from the performance information.

According to one aspect of the present disclosure, an information processing system may be provided that includes a partition information storage unit, a target information acquisition unit, a discrimination unit, an entity information storage unit, and a delivery request unit. The target information acquisition unit may be configured to acquire a second feature amount related to the entity of interest, the second feature amount being related to the feature described in the partition information.

The discrimination unit may be configured to discriminate, as a target partition, a partition in the feature space associated with the entity of interest by mapping the entity of interest to the feature space based on the partition information and the second feature.

The entity information storage unit may be configured to store, for each partition of the feature space, entity information that describes a group of entities associated with the corresponding partition using an identifier that is individually assigned to each of the entities.

The distribution request unit may be configured to request the distribution system to distribute the content to the group of entities associated with the target section by specifying a group of identifiers including respective identifiers of entities associated with the target section determined from the entity information to the distribution system as a distribution destination of the content, so that the distribution system distributes the content to the group of entities associated with the target section.

This information processing system makes it possible to request content distribution from the distribution system by specifying a distribution destination using an identifier based on the characteristics of an entity provided by the distributor. This makes it possible to simplify the distributor's work in specifying a distribution destination using an identifier.

According to one aspect of the present disclosure, an information processing system may be provided that includes a partition information storage unit, a selection unit, a target information acquisition unit, a discrimination unit, and a delivery request unit. The selection unit may be configured to select one or more partitions as delivery target partitions from among a plurality of partitions.

The target information acquisition unit may be configured to acquire, for each of the multiple entities, a second feature amount related to a feature described in the partition information. The determination unit may be configured to determine, as a group of entities to be delivered, a group of entities associated with the partition to be delivered, by mapping the multiple entities to a feature space based on the partition information and the second feature amount.

The distribution request unit can be configured to request the distribution system to distribute content by specifying the identifiers of each entity constituting the group of entities to be distributed as the distribution destinations of the content, so that the content is distributed to the group of entities to be distributed.

According to this information processing system, a request can be made to the distribution system using an identifier to distribute content to a corresponding group of entities based on the selection of the distribution target area. Therefore, according to one aspect of the present disclosure, even when it is necessary to specify distribution conditions using an identifier, it is possible to simplify the work of the distributor.

According to one aspect of the present disclosure, the selection unit can determine the effectiveness of content distribution through the distribution system for each of the multiple sections, and select a distribution target section from among the multiple sections based on the effectiveness of the content distribution. With this information processing system, the distribution target section can be appropriately set in consideration of the distribution effectiveness.

According to one aspect of the present disclosure, the information processing system may include a performance information acquisition unit, in which case the selection unit may select a target area for distribution from among a plurality of areas based on performance information acquired by the performance information acquisition unit.

According to one aspect of the present disclosure, the performance information acquisition unit may acquire performance information regarding the effectiveness of content distribution through a corresponding distribution system for each of the multiple distribution systems. The selection unit may select a distribution system to which a distribution request is to be sent from among the multiple distribution systems for each section that corresponds to the distribution target section based on the performance information.

The delivery request unit may request the selected delivery request destination delivery system to deliver content for each section corresponding to the delivery target section, so that the content is delivered to the entity group associated with the corresponding section among the delivery target entities. According to this information processing system, it is possible to appropriately select the delivery request destination delivery system in consideration of the delivery effect.

According to one aspect of the present disclosure, an information processing system may be provided that includes a partition information storage unit, a target information acquisition unit, a discrimination unit, a selection unit, an entity information storage unit, and a delivery request unit. The target information acquisition unit is configured to acquire, with respect to a plurality of entities, a second feature amount for each of the plurality of entities, the second feature amount being related to a feature described in the partition information.

The discrimination unit is configured to discriminate a group of partitions in the feature space to which the multiple entities correspond as a group of target partitions by mapping the multiple entities to the feature space based on the partition information and the second feature amount.

The selection unit is configured to select one or more partitions as distribution target partitions from the group of target partitions. The entity information storage unit is configured to store, for each partition of the feature space, entity information that describes a group of entities related to the corresponding partition using an identifier individually assigned to each of the entities.

The distribution request unit is configured to request the distribution system to distribute the content by specifying a group of identifiers including respective identifiers of entities related to the distribution target section determined from the entity information to the distribution system as a distribution destination of the content, so that the distribution system distributes the content to the group of entities related to the distribution target section.

This information processing system can use the identifier to request the distribution system to distribute content to the corresponding entity group based on the selection of the distribution target area.

According to one aspect of the present disclosure, the selection unit can determine the effectiveness of content distribution through each distribution system for the target sections, and select a distribution target section from among a group of target sections based on the effectiveness of the content distribution.

According to one aspect of the present disclosure, the information processing system may include a performance information acquisition unit, and the selection unit may select a target section for distribution from among a group of target sections based on the distribution effect of each target section determined from the performance information.

According to one aspect of the present disclosure, the entity may be a person. The identifier used to specify the delivery destination may be an identifier that allows the delivery system of the delivery request destination to deliver content to the information terminal of the corresponding entity. According to one aspect of the present disclosure, the identifier may include at least one of an advertisement ID, a cookie ID, and an email address.

According to one aspect of the present disclosure, a computer program may be provided for causing a computer to realize at least some of the functions of the above-mentioned information processing system. According to one aspect of the present disclosure, a computer program may be provided for causing a computer to realize the functions of the target information acquisition unit, the determination unit, and the delivery request unit in the above-mentioned information processing system.

According to one aspect of the present disclosure, a computer program may be provided for causing a computer to realize the functions of the selection unit, the target information acquisition unit, the discrimination unit, and the distribution request unit in the information processing system described above. According to one aspect of the present disclosure, the computer program may be recorded on a computer-readable non-transitory recording medium.

According to one aspect of the present disclosure, an information processing method related to the operation of the above-mentioned information processing system may be provided. The information processing method may be executed by a computer. The information processing method may achieve the same effects as the above-mentioned information processing system.

According to one aspect of the present disclosure, an information processing method executed by a computer may be provided. The information processing method may include acquiring, for each partition, partition information describing a characteristic of a set of entities having a first feature value of the corresponding partition, for a plurality of partitions defined by subdividing a feature space corresponding to a set of first feature values related to the entities, from a storage device that stores the partition information.

The information processing method may include acquiring a second feature amount related to the entity of interest, the second feature amount being related to a feature described in the parcel information. The information processing method may include determining, as a target parcel, a parcel in the feature space associated with the entity of interest by mapping the entity of interest to a feature space based on the parcel information and the second feature amount.

The information processing method may include obtaining definition information from a storage device that stores definition information that defines distribution conditions for a distribution system for each partition of the feature space. The information processing method may include requesting the distribution system to distribute content in accordance with the definition information. The requesting may include requesting the distribution system to distribute in accordance with the distribution conditions defined for the target partition.

According to one aspect of the present disclosure, there may be provided an information processing method executed by a computer, the information processing method including: acquiring the above-mentioned partition information from a storage device; acquiring a second feature amount related to the entity of interest, the second feature amount being related to a feature described in the partition information; determining, as a target partition, a partition in the feature space to which the entity of interest is associated by mapping the entity of interest to the feature space based on the partition information and the second feature amount; acquiring entity information from a storage device that stores entity information that describes, for each partition of the feature space, a group of entities related to the corresponding partition using an identifier individually assigned to each of the entities; and requesting a distribution system to distribute content.

The requesting may include requesting the distribution system to deliver the content to the group of entities associated with the target section by specifying a group of identifiers, including respective identifiers of the entities associated with the target section determined from the entity information, to the distribution system as a destination for delivering the content, such that the distribution system delivers the content to the group of entities associated with the target section.

According to one aspect of the present disclosure, there may be provided an information processing method executed by a computer, the information processing method including: acquiring the above-mentioned partition information from a storage device; selecting one or more partitions from among the plurality of partitions as partitions to be distributed; acquiring, for each of the plurality of entities, a second feature amount related to a feature described in the partition information; determining, by mapping the plurality of entities to a feature space based on the partition information and the second feature amount, a group of entities associated with the partitions to be distributed as a group of entities to be distributed; and requesting a distribution system to distribute content.

The requesting may include requesting the distribution system to distribute the content to the group of target entities by specifying the identifiers of each entity constituting the group of target entities as the distribution destination of the content to the distribution system so that the content is distributed to the group of target entities.

According to one aspect of the present disclosure, there may be provided an information processing method executed by a computer, the information processing method including: acquiring the above-mentioned partition information from a storage device; acquiring, for a plurality of entities, a second feature amount of each of the plurality of entities, the second feature amount being related to a feature described in the partition information; determining, as a group of target partitions, a group of partitions in the feature space to which the plurality of entities are associated by mapping the plurality of entities to the feature space based on the partition information and the second feature amount; selecting one or more partitions from the group of target partitions as partitions to be distributed; acquiring entity information from a storage device that stores entity information describing, for each partition in the feature space, a group of entities related to the corresponding partition using an identifier individually assigned to each of the entities; and requesting distribution of content from a distribution system.

The requesting may include requesting the distribution system to deliver the content to the group of entities associated with the distribution target section by specifying a group of identifiers, including respective identifiers of the entities associated with the distribution target section determined from the entity information, to the distribution system as a distribution destination for the content, such that the distribution system delivers the content to the group of entities associated with the distribution target section.

FIG. 1 is a block diagram showing a configuration of an information processing system. FIG. 2 is an explanatory diagram of a table held by the information processing system. 13 is a diagram illustrating an example of the configuration of a substrate mesh table. FIG. FIG. 4A is a diagram illustrating an example of the configuration of a panel table, and FIG. 4B is a diagram illustrating an example of the configuration of a data holder table. FIG. 5A is a diagram illustrating an example of the configuration of a location information master, and FIG. 5B is a diagram illustrating an example of the configuration of a location characteristic table. FIG. 13 is a diagram illustrating an example of the configuration of a client table. FIG. 7A is a diagram illustrating an example of the configuration of a PFer table, and FIG. 7B is a diagram illustrating an example of the configuration of a DCR table. FIG. 8A is a diagram illustrating an example of the configuration of a mapping table that associates a panel table with a base mesh table, and FIG. 8B is a diagram illustrating an example of the configuration of a mapping table that associates a data holder table with a base mesh table. 13 is a diagram illustrating an example of the configuration of a mapping table that associates a client table with a base mesh table. FIG. FIG. 10A is a diagram illustrating an example of the configuration of a mapping table that associates a PFer table with a base mesh table, and FIG. 10B is a diagram illustrating an example of the configuration of a mapping table that associates a DCR table with a base mesh table. 11 is a flowchart showing a table creation process executed by a processor. 11 is a flowchart (part 1) illustrating a first manuscript submission-related process executed by a processor. 13 is a flowchart (part 2) illustrating the first manuscript submission-related process executed by the processor. 1 is a conceptual diagram illustrating a series of processing steps related to mapping into a mesh space, determining a segment, and submitting data. 11 is a flowchart illustrating a second manuscript submission-related process executed by a processor. 13 is a flowchart illustrating a third manuscript submission-related process executed by a processor. 1 is a conceptual diagram illustrating a series of processing steps related to mapping into a mesh space, expanding a distribution destination, and submitting data. 13 is a flowchart illustrating a fourth manuscript submission-related process executed by a processor. 13 is a flowchart illustrating a fifth manuscript submission-related process executed by a processor.

Exemplary embodiments of the present disclosure will now be described with reference to the drawings.
First Embodiment
1 is a system that submits advertisement content, i.e., requests the distribution of advertisement content, to a platform operator system 20 based on a distribution instruction from an advertiser. In response to the distribution request, the platform operator system 20 distributes the corresponding advertisement content to a consumer's information terminal under distribution conditions specified by the distribution request source.

In the following, advertisers who use the submission service provided by the information processing system 10 are referred to as clients. In this embodiment, consumer data 135 is provided by a third-party company that holds a huge amount of data. In the following, this third-party company is referred to as a data holder.

The information processing system 10 of this embodiment is configured by installing computer programs necessary for providing the data submission service on one or more servers. For simplicity of explanation, an example in which the information processing system 10 is realized by one computer system will be described here.

According to this embodiment, the information processing system 10 includes a processor 11, a memory 13, a storage 15, a user interface 17, and a communication interface 19. The processor 11 executes processing according to a computer program stored in the storage 15. The memory 13 is a primary storage device that includes RAM, and is used as a working area when the processor 11 executes processing.

Storage 15 is a secondary storage device equipped with, for example, a hard disk drive or a solid state drive, and stores computer programs as well as various data provided when processing according to the computer programs is executed.

The user interface 17 includes an input device for inputting operation signals from the administrator of the information processing system 10 to the processor 11, and a display for displaying various information to the administrator.

The communication interface 19 is connected to a wide area network. The information processing system 10 is configured to be able to communicate with multiple platform operator systems 20, multiple client side systems 30, and a data holder side system 40 through the communication interface 19.

In the information processing system 10, a relational database is constructed to realize the data submission service. FIG. 2 shows that the information processing system 10 includes a base mesh table 110, a panel table 120, a data holder table 130, a location information master 140, a location characteristic table 150, a client table 160 for each client, a PFer table 170 for each platform operator system 20, a DCR table 180 for each platform operator system 20, and mapping tables 129, 139, 169, 179, and 189 that connect tables 110, 120, 130, 160, 170, and 180. The relational database includes these tables.

The base mesh table 110 illustrated in FIG. 3 is a base table for referencing the other tables 120, 130, 160, 170, and 180, and includes statistical data for each of a plurality of partitions defined by subdividing a feature space corresponding to a set of first features related to consumers. As described below, the statistical data statistically describes the characteristics of the set of consumers in the corresponding partition.

According to this embodiment, the feature space is partitioned into a mesh shape. In the following, one partition is referred to as a mesh, and the statistical data of each mesh is referred to as mesh data 115. The concept of the feature space partitioned into a mesh shape is shown in FIG. 14.

When a first feature describing a consumer's characteristics is represented as a two-dimensional feature vector including feature X and feature Y, the feature space is a two-dimensional XY coordinate space having an X-axis that corresponds to feature X and a Y-axis that corresponds to feature Y.

Feature X may numerically represent a consumer's characteristic, for example, related to consumer consciousness. For example, feature X may represent multiple subcategories in which a consumer is selectively interested within a particular category, as a discrete set of numerical values. For example, feature X may numerically represent a consumer's preferred vehicle type (e.g., coupe, compact car, minivan, wagon, etc.). Feature Y may numerically represent a characteristic, for example, related to media exposure. For example, feature Y may represent the rate of exposure to a particular media. Examples of particular media include newspapers and magazines.

In this example, a mesh is defined in the feature space for each combination of the subcategory and the level of contact with the specific media. The level of contact can be defined by dividing the contact rate into three levels: "high," "medium," and "low," for example.

For example, one mesh is a partition on the feature space in which a set of consumers who are interested in minicars and have a "high" media contact rate are placed, and another mesh is a partition on the feature space in which a set of consumers who are interested in coupes and have a "low" media contact rate are placed. Here, for ease of understanding, an example in which the feature space is a two-dimensional space has been described, but the feature space may be a multidimensional space of three or more dimensions. The first feature amount may be defined in various ways.

As shown in FIG. 3, the base mesh table 110 has mesh data 115 for each consumer group for each mesh defined in this way. That is, the base mesh table 110 has mesh data 115 for each combination of mesh and consumer group. The mesh data 115 corresponding to one combination explains the probability that a consumer group corresponding to that combination exists in the mesh corresponding to that combination.

The mesh data 115 shown in FIG. 3 includes a mesh ID, which is an identification code for the corresponding mesh, consumer group information that describes a consumer group, and information on the probability that this consumer group exists in the mesh. The consumer group information describes the characteristics of the consumer group based on the demographic attributes of this consumer group and other characteristics that this consumer group possesses.

In FIG. 3, the mesh data 115 describes the demographic attributes of a consumer group, including a location ID corresponding to the consumer group's place of residence, and the gender and age of the consumer group. The location ID is an identification code for a location.

Element 1 to element N shown in FIG. 3 means that other characteristics of the consumer group are described by multiple elements including element 1 to element N. Examples of multiple elements may include parameters describing additional demographic attributes such as height, weight, occupation, etc., as well as parameters describing characteristics of consumer attitudes and consumer behavior.

Examples of consumer attitudes include consumer interests and concerns. Examples of consumer behavior include purchasing behavior and leisure behavior. For example, parameters describing characteristics of consumer behavior may include parameters describing whether and/or how much of each of a number of products is purchased. The above-mentioned base mesh table 110 may be created based on survey data obtained from one or more nationwide large-scale surveys, including the census.

The panel table 120 illustrated in FIG. 4A has monitor data for each survey subject (hereinafter referred to as "monitor") with respect to a group of survey subjects corresponding to a panel. The monitor data describes the monitor ID, which is an identification code of the corresponding monitor, the weight, the demographic attributes of this monitor (e.g., place of residence, gender, and age), and other characteristics of this monitor. In a panel survey as a sample survey, each monitor represents a respective subset in the population. The weight describes how many consumers the corresponding monitor represents.

The data holder table 130 illustrated in FIG. 4B has consumer data 135 for each consumer provided by the data holder. This consumer data 135 describes, in association with a consumer ID that is an identification code for the corresponding consumer, the email address and/or advertising ID that is an identifier for advertising delivery for that consumer, the consumer's demographic attributes (e.g., place of residence, gender, and age), and other characteristics of the consumer.

The data holder may be, for example, a company that operates a rewards program that provides purchasers with valuable points in response to purchases at target stores or target products. In this case, the data holder accumulates purchasing data for each consumer who participates in the rewards program.

The data holder table 130 may be created based on accumulated purchasing data. In this case, the consumer data 135 may describe characteristics related to the consumer's purchasing behavior as other characteristics of the consumer. The characteristics related to purchasing behavior may be described by the presence or absence of purchase of each of multiple products and/or the purchase amount.

The consumer ID included in the consumer data 135 may be a member ID of a reward program. The email address may be collected from the consumer when registering as a member. The advertising ID may be collected from the information terminal used to register as a member or install the digital membership card. As is well known, the advertising ID is a terminal-specific ID that is individually assigned to each information terminal (e.g., a smartphone) as an ID for advertising distribution.

The location information master 140 illustrated in FIG. 5A has location data 145 that describes the details of the corresponding location for each location ID. The location data 145 describes the location corresponding to the location ID in one or more of a large section, a medium section, and a small section, and describes the section level.

The partition level can take on any of the values "large," "medium," or "small," and the partition levels "large," "medium," and "small" respectively mean that the corresponding location ID indicates a place corresponding to a large partition, a place corresponding to a combination of large and medium partitions, and a place corresponding to a combination of large, medium, and small partitions.

Large divisions are divisions based on prefectures. Medium divisions are divisions based on cities, towns, and villages. Small divisions are divisions based on areas that are even smaller than medium divisions. The location information master 140 is used, for example, to determine the correspondence between a location ID and a place indicated by an address.

The location characteristic table 150 illustrated in FIG. 5B has location characteristic data 155 for each location ID. The location characteristic data 155 includes multiple types of data that represent the characteristics of the location corresponding to the location ID. Examples of the multiple types of data may include automobile data indicating the number of registered automobiles by model in the corresponding location (area), land price data indicating land prices at each point in the location, and network-related data that statistically indicates consumer information obtained through communication terminals present in the location.

The client table 160 illustrated in FIG. 6 has a group of customer data 165 corresponding to a group of customers of the corresponding client. The customer data 165 for each customer describes the customer's email address, the customer's demographic attributes (e.g., place of residence, gender, and age), and other characteristics of the customer in association with a customer ID that is an identification code for the corresponding customer. The email address is used to contact the customer and deliver advertisements. The customer data 165 may further include an advertisement ID for delivering advertisements.

The other features may be, for example, features related to the customer's purchasing behavior identified from the customer's purchasing history through offline/online stores. According to the example of FIG. 6, the customer data 165 indicates, as other features of the customer, whether or not each of a plurality of products has been purchased and/or the purchase amount. The demographic attributes and other features of the customer contained in the customer data 165 correspond to the second feature amount referenced when mapping the customer to a mesh, and relate to the consumer characteristics described as consumer group information in the base mesh data.

The PFer table 170 illustrated in FIG. 7A is a table for each platform operator system 20, i.e., for each platformer (PFer). Each PFer table 170 has segment data 175 for each consumer segment that can be specified as an advertisement delivery destination.

The segment data 175 is data for designating the corresponding consumer segment as an advertisement delivery destination to the corresponding platform operator system 20. Designating an advertisement delivery destination to the platform operator system 20 corresponds to designating the delivery conditions of the advertising content to the platform operator system 20.

In other words, the segment data 175 describes or defines the delivery conditions for delivering advertising content to the corresponding consumer segment through the corresponding platform operator system 20. The method of specifying the delivery conditions differs for each platform operator system 20. The segment data 175 describes the delivery conditions in a specification method that is acceptable to the corresponding platform operator system 20.

According to the example of FIG. 7A, the segment data 175 describes the delivery conditions by a group of parameters that can be specified to the corresponding platform operator system 20 in association with a segment ID, which is a classification code of a consumer segment. FIG. 7A shows an example in which the segment data 175 specifies the delivery conditions by the residence, gender, age group, and whether or not multiple affinity categories are specified.

The DCR table 180 illustrated in FIG. 7B is prepared for each platform operator system 20. Each platform operator system 20 includes a distribution unit 21 and an effectiveness measurement unit 25 as shown in FIG. 1.

The distribution unit 21 operates to distribute designated advertising content under distribution conditions designated by the information processing system 10. The effectiveness measurement unit 25 operates to measure consumer responses to the distribution of the advertising content as the distribution effect, and to provide aggregate information on the measured distribution effect to the information processing system 10. The aggregate information corresponds to performance information on the effectiveness of the content distribution.

The effectiveness measurement unit 25 provides a so-called data clean room, and in response to a request from the information processing system 10, provides aggregated information regarding the distribution effectiveness to the requesting information processing system 10.

The DCR table 180 is a table that describes the aggregated information obtained from the effectiveness measurement unit 25 of the corresponding platform operator system 20, in other words, the data clean room (DCR).

DCR table 180 has effectiveness data for each consumer segment for which the platform operator can provide aggregated information. The effectiveness data is associated with a DCR segment ID, which is an identification code for the corresponding consumer segment, and explains the number of impressions and conversion rate as indicators of the delivery effectiveness, along with the attributes of the corresponding consumer segment.

The number of impressions corresponds to the number of times the advertising content was displayed. The conversion rate indicates the proportion of consumers who viewed the advertising content and took a specific action. The conversion rate includes, for example, the page view rate, which is the proportion of consumers who viewed a specific web page among the group of consumers who viewed the advertising content. The effectiveness data can explain the delivery effectiveness using various indicators.

The above describes the configurations of the base mesh table 110, panel table 120, data holder table 130, location information master 140, location characteristics table 150, client table 160, PFer table 170, and DCR table 180. Next, we will explain the configurations of the mapping tables 129, 139, 169, 179, and 189, which associate tables 110, 120, 130, 160, 170, and 180.

The mapping table 129 shown in FIG. 8A is a table that associates the panel table 120 with the substrate mesh table 110. For each monitor ID used in the panel table 120, this mapping table 129 describes the monitor ID, the mesh ID associated with that monitor ID, and the weight.

One monitor ID may be associated with multiple mesh IDs. In this case, the number of consumers corresponding to the weight described in the panel data 125 for the corresponding monitor ID are distributed across multiple meshes. In other words, the sum of the weights of the multiple mesh IDs associated with one monitor ID corresponds to the weight described in the panel data 125.

The mapping table 139 shown in FIG. 8B is a table that associates the data holder table 130 with the substrate mesh table 110. This mapping table 139 describes, for each consumer ID used in the data holder table, the consumer ID, the mesh ID associated with the consumer ID, and the mapping probability.

The mapping probability corresponds to the probability that the consumer corresponding to this consumer ID is a consumer of the mesh corresponding to the mesh ID. One consumer ID may be associated with multiple mesh IDs. In this case, the sum of the mapping probabilities of multiple mesh IDs associated with one consumer ID may be 1.

The mapping table 169 shown in FIG. 9 is a table that associates the client table 160 with the base mesh table 110. For each customer ID used in the client table 160, this mapping table 169 describes the customer ID, the mesh ID associated with the customer ID, and the mapping probability.

The mapping probability in the mapping table 169 corresponds to the probability that a customer corresponding to a customer ID is a consumer of the corresponding mesh. One customer ID may be associated with multiple mesh IDs. In this case, the sum of the mapping probabilities of multiple mesh IDs associated with one customer ID may be 1.

The mapping table 179 shown in FIG. 10A is prepared for each PFer table 170, and is a table that associates one corresponding PFer table 170 with the base mesh table 110. For each segment ID used in the PFer table 170, this mapping table 179 describes the segment ID and the mesh ID associated with that segment ID.

The mapping table 189 shown in FIG. 10B is prepared for each DCR table 180, and is a table that associates one corresponding DCR table 180 with the base mesh table 110. This mapping table 189 describes, for each DCR segment ID used in the DCR table 180, the DCR segment ID and the mesh ID associated with the DCR segment ID.

Figure 11 is a flowchart showing the table creation process that the processor 11 executes each time the client table 160 is provided from the client-side system 30. The processor 11 executes the process shown in Figure 11 to create the mapping table 169 shown in Figure 9 that associates the client table 160 with the base mesh table 110.

When this process starts, the processor 11 acquires the client table 160 to be processed, which is provided by the client-side system 30 and stored in the storage 15, by reading it from the storage 15 (S110). The processor 11 further acquires the base mesh table 110 by reading it from the storage 15 (S120). The processor 11 executes the mapping process based on the acquired client table 160 and base mesh table 110 (S130).

In the mapping process, for each customer data 165 included in the acquired client table 160, the processor 11 calculates a mapping probability, which is the probability that the corresponding customer corresponds to each mesh, based on the second feature of the corresponding customer indicated by the customer data 165 and the existence probability of each consumer group in each mesh. The mapping here corresponds to probabilistically associating each customer with one or more meshes in the feature space (in other words, mesh space) based on the base mesh table 110 and the client table 160.

Then, the processor 11 creates a mapping table 169 so that, for each of one or more meshes for which the mapping probability is not zero, the mesh ID of the corresponding mesh corresponds to the customer ID of the corresponding customer.

In the next step S140, the processor 11 associates the mapping table 169 created in S130 with the corresponding client table 160 and registers it in the storage 15, particularly in a relational database. In this way, the processor 11 executes the table creation process each time a client table 160 is provided from the client-side system 30.

The number of client tables 160 and mapping tables 169 registered in the relational database increases in accordance with the increase in the number of clients using the submission service provided by the information processing system 10, thereby allowing meaningful information to be accumulated in the relational database.

Figures 12 and 13 are flowcharts showing the first submission-related processing that the processor 11 executes when a distribution instruction is input from the client-side system 30.

When the first submission-related process starts, the processor 11 acquires the advertising content to be distributed and the distribution destination-related information from the distribution instruction source (S310). The distribution destination-related information includes information necessary for determining the distribution conditions that the information processing system 10 specifies for the platform operator system 20.

The destination-related information handled in the first submission-related process describes, as a target customer ID group, a group of customer IDs of a customer group corresponding to a consumer segment to which the source of the delivery instruction desires delivery. The customer group here refers to a group of customers of the client of the source of the delivery instruction. The destination-related information further includes information specifying the submission destination, i.e., the platform operator system 20 to which the delivery request is made.

In the next step S320, the processor 11 determines the mesh ID group corresponding to the target customer ID group as the mesh ID group to be distributed. The processor 11 can determine the mesh ID group corresponding with a mapping probability equal to or higher than a predetermined probability as the mesh ID group to be distributed by referring to the mapping table 169 corresponding to the client that issued the distribution instruction.

The mapping table 169 corresponding to the client that issued the distribution instruction is a mapping table 169 that associates the client table 160, which has the customer data 165 of the client that issued the distribution instruction, with the base mesh table 110.

In the next step S325, the processor 11 determines whether two or more platform provider systems 20 have been specified as the submission destination by the distribution destination related information. If it is determined that two or more platform provider systems 20 have been specified (Yes in S325), the processor 11 executes the processes of S360 to S395. On the other hand, if it is determined that only one platform provider system 20 has been specified (No in S325), the processor 11 executes the processes of S330 to S350.

In S330, the processor 11 refers to the mapping table 179 corresponding to the PFer table 170 of the destination platform operator system 20, and converts the mesh IDs to be distributed determined in S320 into segment IDs of the destination platform operator system 20.

As described above, the mapping table 179 describes the correspondence between mesh IDs and segment IDs. The processor 11 converts the mesh IDs to be distributed into segment IDs in accordance with the correspondence shown in the mapping table 179.

Next, in S340, the processor 11 references the PFer table 170 of the destination platform operator system 20 and creates submission data that conforms to the specified method of the distribution conditions in the destination platform operator system 20.

The submission data that is created includes information that specifies the delivery conditions for delivering advertising content to consumer segments that correspond to the converted segment IDs.

As described above, in the PFer table 170, for each segment ID, the delivery conditions for requesting the platform operator system 20 to deliver advertisements to the corresponding consumer segment are described using multiple parameters that can be accepted by the platform operator system 20.

The processor 11 can read a group of segment data 175 corresponding to the converted group of segment IDs from the PFer table 170 and create submission data that describes these distribution conditions.

In the next step S350, the processor 11 transmits the submission data created in step S340 to the destination platform operator system 20, thereby transmitting a distribution request specifying the distribution conditions to the platform operator system 20 and completing the submission. The processor 11 then terminates the first submission-related process.

When there are two or more platform operator systems 20 as the submission destinations specified by the distribution destination related information, as described above, in the first submission related process, the processor 11 executes the processes of S310 and S320, and then executes the processes of S360 to S395 shown in FIG. 13.

In S360, the processor 11 selects one of the submission destination platform operator systems 20 as the target system. In the following S370, the processor 11 refers to the mapping table 179 related to the PFer table 170 of the target system, and converts the mesh ID group of the distribution target determined in S320 into a segment ID group associated with the mapping table 179 of the target system.

In the next step S380, the processor 11 refers to the PFer table 170 of the target system based on the converted group of segment IDs, and creates submission data that conforms to the specified method of the distribution conditions in the target system according to the distribution conditions of the group of segment IDs described in the PFer table 170.

In the next step S390, the processor 11 sends the submission data created in S380 to the target system, thereby sending a distribution request specifying the distribution conditions to one of the target systems, the platform operator system 20, and completing the submission.

In this way, when multiple platform operator systems 20 are specified as submission destinations in the distribution destination related information, the processor 11 sequentially selects each of the multiple platform operator systems 20 specified as the submission destinations as the target system (S360), creates submission data that conforms to the specified method of the distribution conditions in the target system (S370, S380), and transmits this to the target system (S390). Then, when submission to all platform operator systems 20 specified as the submission destinations is completed (Yes in S395), the first submission related process ends.

According to the first submission-related process, even if the client does not know in detail the method for specifying the delivery conditions in one or more platform provider systems 20 desired as the submission destination, the client can realize the delivery of advertisements to the consumer segment through one or more platform provider systems 20 by simply informing the information processing system 10 of the customer IDs of the client's own customer group, which indirectly represent the consumer segment to which the client wishes to deliver advertisements.

As shown in FIG. 14, the information processing system 10, through the first submission-related process, maps the client's customer IDs into the feature space described in the base mesh table 110 and determines the mesh to which each customer belongs (S320).

The information processing system 10 further determines the consumer segment and related distribution conditions corresponding to the mesh for each submission destination, creates submission data according to the submission destination platform operator system 20 (S380), and submits the data to each platform operator system 20 (S390).

As can be seen from FIG. 14, for the same group of noted customer IDs described in the destination-related information, submission data that specifies segments A, B, and C as destination segments is created in the first platform operator system 20. On the other hand, submission data that specifies segments I, II, and III as destination segments is created in the second platform operator system 20. Therefore, according to this embodiment, it is possible to simplify the advertiser's work regarding the delivery of advertising content.

[Second embodiment]
In the information processing system 10 of the second embodiment, the processor 11 is configured to execute a second manuscript-submission-related process shown in Fig. 15 in addition to or instead of the first manuscript-submission-related process described in the first embodiment. In the following, the details of the second manuscript-submission-related process executed by the processor 11 will be selectively described as the configuration of the information processing system 10 of the second embodiment. The configuration of the information processing system 10 and the peripheral configuration of the information processing system 10 not mentioned in this embodiment may be understood to be the same as those in the first embodiment.

Figure 15 is a flowchart showing the second submission-related process executed by the processor 11 when a second delivery instruction is input from the client-side system 30. When the second submission-related process starts, in S410, the processor 11 acquires the advertising content to be delivered and delivery destination-related information from the delivery instruction source.

The destination-related information handled in the second submission-related process is different from the destination-related information handled in the first submission-related process in that it includes information on the target customer ID group but does not include information specifying the platform operator system 20 to which the submission is to be made.

In the second submission-related process, the processor 11 selects an appropriate platform operator system 20 from among a plurality of platform operator systems 20 for each mesh ID to which the content is to be delivered, taking into consideration the effectiveness of the delivery of the advertising content, and submits the content to the selected platform operator system 20.

After processing S410, the processor 11, similar to the processing in S320, refers to the mapping table 169 corresponding to the client that issued the distribution instruction, and determines the mesh ID group corresponding to the target customer ID group described in the distribution destination related information as the mesh ID group to be distributed (S420).

In the next step S430, the processor 11 selects one mesh ID from the group of mesh IDs to be distributed as the processing target. The processor 11 then selects a destination platform operator system 20 for the mesh ID to be processed from a plurality of predetermined platform operator systems 20 (S440). The destination platform operator system 20 selected here is the platform operator system 20 that requests the distribution of advertising content to the consumer segment corresponding to the mesh ID to be processed.

At S440, the processor 11 acquires aggregated information on the distribution effectiveness from each of the multiple platform operator systems 20 that can be selected as the submission destination (S441). For each platform operator system 20, the processor 11 updates the DCR table 180 of the corresponding platform operator system 20 based on the aggregated information acquired from the effectiveness measurement unit 25 of the platform operator system 20 (S443).

The processor 11 extracts the DCR data 185 of the DCR segment ID corresponding to the mesh ID to be processed from the updated DCR table 180 of each platform operator system 20 (S445). The correspondence between the mesh ID and the DCR segment ID is determined by referring to the mapping table 189 that associates the DCR table 180 with the base mesh table 110.

The processor 11 compares the extracted DCR data 185 for each platform provider system 20 between the platform provider systems 20, and selects the platform provider system 20 with the highest distribution effectiveness as the platform provider system 20 to which the data will be submitted (S447).

In S447, the processor 11 can select the platform operator system 20 with the greatest delivery effect as the destination platform operator system 20. According to another example, the processor 11 can select a predetermined number of platform operator systems 20 in descending order of delivery effect as the destination platform operator system 20.

The effectiveness of a delivery may be determined, for example, by the conversion rate included in the DCR data 185. Alternatively, the processor 11 may substitute index values of multiple types of delivery effectiveness into a predetermined score calculation formula to calculate a score relating to the effectiveness of the delivery, and may determine the effectiveness of the delivery based on the score.

When the processor 11 selects the submission destination platform provider system 20 corresponding to the mesh ID to be processed in S440, the processor 11 executes the process of S450. In S450, the processor 11 determines whether the platform provider system 20 selected as the submission destination for the mesh ID to be processed satisfies the specified submission conditions.

The specified submission condition may be that the delivery effect in the destination platform operator system 20 is equal to or greater than a threshold value. When multiple platform operator systems 20 are selected as destinations for the mesh ID to be processed, it is possible to determine whether the destination platform operator system 20 with the greatest delivery effect satisfies the submission condition.

When the delivery effect in the destination platform operator system 20 is less than a threshold, the processor 11 can determine that the submission conditions are not satisfied. When the delivery effect in the destination platform operator system 20 is equal to or greater than a threshold, the processor 11 can determine that the submission conditions are satisfied.

When the processor 11 determines that the submission conditions are not satisfied (No in S450), it excludes the mesh ID to be processed from the mesh IDs to be distributed (S455). This exclusion means that submission based on the mesh ID to be processed will not be made to any of the platform operator systems 20.

When the processor 11 determines that the submission conditions are met (Yes in S450), it converts the mesh ID to be processed into a segment ID corresponding to the destination platform operator system 20, as in the processes in S330 and S370, and sets the segment ID as the segment ID to be distributed (S460).

When the processing in S455 or S460 is completed, the processor 11 judges whether the processing from S430 onwards has been executed for all mesh IDs to be distributed (S470). If it is judged that the processing has not been executed (No in S470), the processor 11 selects one new mesh ID to be processed from the group of mesh IDs to be distributed (S430) and executes the processing from S440 onwards.

When the processor 11 determines that the processing from S430 onwards has been executed for all mesh IDs to be distributed in this manner (Yes in S470), it creates submission data specifying the distribution conditions for distributing advertising content to a group of consumer segments corresponding to a group of segment IDs to be distributed, for each submission destination platform operator system 20 (S480).

In this embodiment, a destination platform operator system 20 is selected from among a plurality of platform operator systems 20 for each mesh ID. In S480, submission data is created so that delivery conditions based on the segment ID corresponding to the mesh ID are specified for the destination platform operator system 20 corresponding to the mesh ID.

Then, the processor 11 transmits the above-mentioned submission data for the corresponding platform operator system 20 to each of the destination platform operator systems 20, and completes the submission (S490). Then, the second submission control process ends.

According to the information processing system 10 of this embodiment described above, from among the mesh groups corresponding to the target customer ID group, only the mesh groups with high distribution effectiveness are selected as the mesh groups to be distributed (S450 to S460). Moreover, for each mesh, the platform operator system 20 with the highest distribution effectiveness among the multiple platform operator systems 20 is selected as the submission destination. Therefore, according to this embodiment, based on the information of the target customer ID group provided by the client, advertising content can be delivered to meaningful consumer segments from the perspective of distribution effectiveness through advantageous platform operator systems 20, and a more convenient submission service can be provided to the client.

[Third embodiment]
The information processing system 10 of the third embodiment is configured such that the processor 11 executes a third manuscript-submission-related process shown in Fig. 16 in addition to or instead of the process described in the first or second embodiment. In the following, the details of the third manuscript-submission-related process executed by the processor 11 will be selectively described as the configuration of the information processing system 10 of the third embodiment. The configuration of the information processing system 10 and the peripheral configuration of the information processing system 10 not mentioned in this embodiment may be understood to be the same as those of the first or second embodiment.

Figure 16 is a flowchart showing the third manuscript submission-related process executed by the processor 11 when a third delivery instruction is input from the client-side system 30. When the third manuscript submission-related process starts, in S510, the processor 11 acquires the advertising content to be delivered and the delivery destination-related information from the delivery instruction source.

The destination-related information handled in the third manuscript submission-related process is the same as the destination-related information handled in the first manuscript submission-related process, and includes information on the group of target customer IDs and information specifying the platform operator system 20 to which the manuscript is submitted.

However, the group of noted customer IDs in this embodiment may be the group of customer IDs of all customers for which customer data 165 is prepared in the client table 160 of the corresponding client. In this case, the destination-related information does not need to include information on the group of noted customer IDs, and the processor 11 may treat the group of customer IDs of all customers of the client as the group of noted customer IDs.

After processing S510, the processor 11 refers to the mapping table 169 corresponding to the client that issued the distribution instruction, and determines the mesh ID group corresponding to the target customer ID group described in the distribution destination related information as a distribution candidate mesh ID group (S520).

In the next step S530, the processor 11 extracts only mesh IDs that satisfy a predetermined condition from the mesh IDs of the candidate distributions as mesh IDs to be distributed. For example, the processor 11 can count the number of customer IDs associated with each mesh ID of the candidate distributions to determine the number of client customers that are mapped to the corresponding mesh for each mesh.

The number of customers can be weighted based on the mapping probability. Based on the number of customers for each mesh, the processor 11 can determine one or more predetermined number of meshes as targets for distribution in descending order of the number of customers, and extract the corresponding mesh ID groups as the mesh ID groups to be distributed.

Alternatively, to develop a consumer segment with a small number of customers, the processor 11 may determine one or more predetermined number of meshes as distribution targets in order of the number of customers with the meshes being the least numerous, and extract the corresponding mesh ID groups as the mesh ID groups to be distributed.

Alternatively, the processor 11 may extract one or more predetermined number of mesh ID groups from among the mesh ID groups of the distribution candidates in order of the highest distribution effectiveness as mesh ID groups to be distributed. For this purpose, the processor 11 can refer to the DCR table 180 and the related mapping table 189 of the submission destination platform operator system 20, and determine the distribution effectiveness for each consumer segment corresponding to the mesh ID groups of the distribution candidates from the corresponding DCR data 185. As in the second embodiment, the magnitude of the distribution effectiveness can be determined through the conversion rate or a score according to a score calculation formula.

In the next step S540, the processor 11 converts the group of mesh IDs to be delivered into a group of advertisement delivery identifiers for the corresponding consumer group. As described above, examples of advertisement delivery identifiers include email addresses and advertisement IDs. Alternatively, a cookie ID may be used as an alternative advertisement delivery identifier. The above-mentioned tables 130 and 160, which describe email addresses and/or advertisement IDs as advertisement delivery identifiers, may describe cookie IDs.

If the platform operator system 20 to which data is submitted is configured to be able to accept a distribution request that specifies, as a distribution condition, the destination consumer using the email address used by the consumer, the processor 11 can convert a group of mesh IDs to be distributed to a group of email addresses of the corresponding consumer group.

When the platform operator system 20 to which data is submitted is configured to be able to accept a distribution request that specifies, as a distribution condition, a consumer to whom data is to be distributed using an advertising ID assigned to the information terminal used by the consumer, the processor 11 can convert a group of mesh IDs to be distributed into a group of advertising IDs for a corresponding consumer group.

The consumer group to which the data is to be delivered includes a customer group that is mapped to a mesh group that corresponds to the mesh ID group to which the data is to be delivered. The processor 11 can determine a customer ID group that corresponds to the mesh ID group to which the data is to be delivered based on a mapping table 169 that associates the client table 160 with the base mesh table 110. The customer ID group determined here may be a customer ID group with a mapping probability equal to or higher than a predetermined value.

As described above, the customer data 165 may include an email address and/or an advertising ID as an advertising delivery identifier. The processor 11 can convert a group of customer IDs into a group of advertising delivery identifiers by referring to a group of customer data 165 corresponding to the group of customer IDs. The processor 11 can give up on converting a customer ID into an advertising delivery identifier for which the advertising delivery identifier cannot be obtained from the customer data 165.

The processor 11 may utilize the data holder table 130. The processor 11 can determine the consumer ID group associated with the mesh ID group to be distributed by referring to the mapping table 139 that associates the base mesh table 110 with the data holder table 130. The consumer ID group determined here may be a consumer ID group with a mapping probability equal to or higher than a predetermined value.

The processor 11 can convert this group of consumer IDs into a group of advertisement delivery identifiers by referring to the data holder table 130. As described above, the consumer data 135 includes the advertisement delivery identifier.

In this way, the consumer group to which the distribution is to be made may include, in addition to or instead of the customer group, a consumer group that is mapped to a mesh group corresponding to the mesh ID group to which the distribution is to be made, among the consumer groups registered in the data holder table 130. A consumer group that is mapped to a mesh group corresponds to a consumer group related to the mesh group.

Next, at S550, the processor 11 creates submission data that describes a group of converted advertisement delivery identifiers, and is used to request the destination platform operator system 20 to deliver advertising content to information terminals that correspond to these advertisement delivery identifiers.

In the next step S560, the processor 11 transmits the submission data created in step S550 to the destination platform operator system 20, thereby transmitting a distribution request specifying the distribution conditions to the platform operator system 20 and completing the submission. The processor 11 then terminates the third submission-related process.

According to the information processing system 10 of the present embodiment described above, the mesh group to be distributed is determined by mapping the group of target customer IDs to a mesh space (i.e., a meshed feature space). Furthermore, this information processing system 10 specifies to the platform operator system 20, as a distribution destination of the advertising content, a group of advertisement distribution identifiers corresponding to a group of entities (customers or consumers) related to the mesh group to be distributed, which are determined from the client table 160 and/or the data holder table 130 as entity information, and the related mapping tables 169, 139.

As a result, the information processing system 10 requests the platform operator system 20 to distribute the advertising content so that the platform operator system 20 distributes the advertising content to a group of consumers related to the distribution target mesh group.

In this way, according to the information processing system 10 of this embodiment, it is possible to request content delivery from the platform operator system 20 by specifying the delivery destination using an advertisement delivery identifier based on a group of focused customer IDs.

Furthermore, based on a group of consumer data 135 provided by a data holder, the information processing system 10 can expand the advertising delivery identifiers specified as the delivery destination to not only the advertising delivery identifiers of a group of noted customer IDs, but also the advertising delivery identifiers of a group of consumer IDs mapped to the same mesh, as shown in FIG. 17. Therefore, according to this embodiment, it is possible to provide an even more convenient submission service for advertisers.

As a modified example, in S540, the processor 11 may convert the distribution target mesh ID group into a segment ID group corresponding to the destination platform operator system 20, as in the first and second embodiments, and in S550, create submission data specifying the distribution conditions based on the segment data 175 group corresponding to the segment ID group.

[Fourth embodiment]
The information processing system 10 of the fourth embodiment is configured such that the processor 11 executes a fourth manuscript submission-related process shown in Fig. 18 in addition to or instead of the process described in the first, second, or third embodiment. In the following, the details of the fourth manuscript submission-related process executed by the processor 11 will be selectively described as the configuration of the information processing system 10 of the fourth embodiment. The configuration of the information processing system 10 and the peripheral configuration of the information processing system 10 not mentioned in this embodiment may be understood to be the same as those of the first, second, or third embodiment.

Figure 18 is a flowchart showing the fourth manuscript submission-related process executed by the processor 11 when a fourth delivery instruction is input from the client-side system 30. When the fourth manuscript submission-related process starts, in S610, the processor 11 acquires the advertising content to be delivered and delivery destination-related information from the delivery instruction source.

The destination-related information handled in the fourth manuscript submission-related process differs from the destination-related information handled in the first, second, and third manuscript submission-related processes in that it does not include information on the target customer ID group. The destination-related information includes information specifying the mesh group to be distributed and information specifying the destination platform operator system 20. The mesh group is specified by a group of corresponding mesh IDs. The destination platform operator system 20 can be specified for each mesh.

In the next step S620, the processor 11 selects the designated mesh ID group as a distribution target mesh ID group in accordance with the distribution destination related information. The processor 11 then converts the distribution target mesh ID group into a group of advertisement distribution identifiers for the corresponding consumer group, similar to the processing in S540 (S630).

At S630, the processor 11 can convert, for each mesh ID, the mesh ID into an advertisement delivery identifier for a consumer group that is mapped to the corresponding mesh. At this time, an advertisement delivery identifier of a type that can be accepted by the platform operator system 20 to which the data is submitted can be used.

In the next step S640, the processor 11 creates submission data for each destination platform operator system 20, which describes a group of converted advertisement delivery identifiers corresponding to the mesh ID group for which the destination platform operator system 20 is the submission destination, and which is used to request the destination platform operator system 20 to deliver advertising content to information terminals corresponding to these advertisement delivery identifiers.

In the next step S650, the processor 11 transmits the submission data created in step S640 to each of the destination platform operator systems 20, thereby transmitting a distribution request specifying the distribution conditions to the platform operator systems 20, and completing the submission. The processor 11 then terminates the fourth submission-related process.

According to the information processing system 10 of the present embodiment described above, submission can be made using an advertisement delivery identifier for a consumer segment corresponding to a mesh group specified by an advertiser. In this embodiment as well, the mesh ID group to be delivered may be converted into a segment ID group instead of a group of advertisement delivery identifiers, and submission data specifying delivery conditions may be created based on a group of segment data 175 corresponding to the segment ID group.

[Fifth embodiment]
The information processing system 10 of the fifth embodiment is configured such that the processor 11 executes a fifth manuscript-submission-related process shown in Fig. 19 in addition to or instead of the process described in the first, second, third, or fourth embodiment. In the following, the details of the fifth manuscript-submission-related process executed by the processor 11 will be selectively described as the configuration of the information processing system 10 of the fifth embodiment. The configuration of the information processing system 10 and the peripheral configuration of the information processing system 10 not mentioned in this embodiment may be understood to be the same as those of the first, second, third, or fourth embodiment.

Figure 19 is a flowchart showing the fifth manuscript submission-related process executed by the processor 11 when a fifth delivery instruction is input from the client-side system 30. When the fifth manuscript submission-related process starts, in S710, the processor 11 determines the distribution in mesh space of all customer groups registered in the client table 160 of the delivery instruction source as the customer distribution of the client of the delivery instruction source. The customer distribution can be evaluated as the ratio of the customer group mapped to each mesh to the total customer group. Each customer can be counted as a number of people according to the mapping probability.

In the next step S720, the processor 11 determines the distribution in mesh space of the consumer group in the same market as the client as the consumer distribution in the market. For example, the processor 11 can determine the distribution from information contained in the location characteristic table 150, the data holder table 130, and/or the client table 160 of other clients.

In the next step S730, the processor 11 selects a mesh group to be distributed from the mesh space based on the difference between the customer distribution of the client that issued the distribution instruction determined in S710 and the market consumer distribution determined in S720. For example, it is possible to determine a mesh group with fewer customers than the market consumer distribution from the customer distribution, and select the mesh group with the fewer customers as the mesh group to be distributed.

Then, the processor 11 creates submission data that sets the distribution conditions for distributing the advertising content to a group of consumer segments that correspond to the mesh groups to which the content is to be distributed (S740). The processor 11 can create the submission data by referring to the group of segment data 175 associated with the group of segment IDs that correspond to the mesh groups to which the content is to be distributed.

Alternatively, the processor 11 can determine a group of advertising delivery identifiers for a consumer group corresponding to the mesh group to which the advertisements are to be delivered, and create submission data that describes the identifiers. The platform operator system 20 to which the advertisements are to be delivered can be specified, for example, by the source of the delivery instructions.

Alternatively, the destination platform operator system 20 may be selected from among a plurality of platform operator systems 20, taking into consideration the distribution effect. The destination platform operator system 20 may be selected for each mesh.

At the next step S750, the processor 11 completes the submission by sending the created submission data to the corresponding platform operator system 20.

According to the information processing system 10 of this embodiment described above, the mesh group to which the advertisements are to be delivered is determined based on the difference between the consumer distribution in the market and the customer distribution, so that the advertiser can perform appropriate submissions with simple operations.

[others]
The present disclosure is not limited to the above-described embodiment, and may be modified in various ways. For example, the technology of the present disclosure may be used for delivering information content other than advertising content.

In the first and second submission-related processes, the submission data was created based on the segment ID, but the submission data may be created using an advertisement delivery identifier. For example, in S330 and S370, the mesh ID group may be converted into a group of advertisement delivery identifiers for a consumer group that is mapped to the corresponding mesh group by referring to the data holder table 130, and in S340 and S380, submission data describing the group of advertisement delivery identifiers may be created.

Similarly, in S460, the mesh ID to be processed may be converted into a group of advertisement delivery identifiers for a consumer group that is mapped to a corresponding mesh group by referring to the data holder table 130, and in S480, submission data describing the group of advertisement delivery identifiers for one or more submission destinations may be created.

The functions of one component in the above embodiments may be distributed among multiple components. The functions of multiple components may be integrated into one component. Part of the configuration of the above embodiments may be omitted. At least part of the configuration of the above embodiments may be added to or substituted for the configuration of another of the above embodiments. All aspects included in the technical ideas identified from the wording of the claims are embodiments of the present disclosure.

10...information processing system, 11...processor, 13...memory, 15...storage, 17...user interface, 19...communication interface, 20...platform operator system, 21...distribution unit, 25...effect measurement unit, 30...client side system, 40...data holder side system, 110...base mesh table, 115...mesh data, 120...panel table, 125...panel data, 129...mapping table, 130...data holder table, 135...consumer data, 139...mapping table, 140...location information master, 145...location data, 150...location characteristic table, 155...location characteristic data, 160...client table, 165...customer data, 169...mapping table, 170...PFer table, 175...segment data, 179...mapping table, 180...DCR table, 185...DCR data, 189...mapping table.

Claims (22)

a partition information storage unit configured to store, for each partition, partition information describing a characteristic of a group of people belonging to a corresponding partition using a second feature amount different from the first feature amount, for a plurality of partitions defined by subdividing a feature space whose dimension is a first feature amount describing a first characteristic of a person corresponding to a content delivery target;
a target information acquisition unit configured to acquire target information describing a second feature of the target person using the second feature amount;
a discrimination unit configured to discriminate, as a target section, a section in the feature space to which the person of interest is associated, by correlating the person of interest with the section in the feature space based on the section information and the attention target information;
a condition information storage unit configured to store, for each of the partitions of the feature space, definition information defining a distribution condition for distributing content to a group of people belonging to the corresponding partition as a distribution condition for a distribution system;
a distribution request unit configured to request the distribution system to distribute content in accordance with the definition information stored in the condition information storage unit;
Equipped with
The block information indicates , for each of a plurality of groups related to people , a probability of a person belonging to a corresponding group being present in the corresponding block;
The second feature has a plurality of sections,
each of the plurality of groups corresponds to one of the plurality of categories, and is a group of people having the second feature amount belonging to the corresponding one category;
The discrimination unit is
Identifying a group among the plurality of groups that corresponds to a category of the second feature amount of the person of interest as a group of interest;
determining, based on the presence probability of the group of interest in each of the plurality of sections , the person of interest to be associated with one or more sections including the section with the highest presence probability of the group of interest among the plurality of sections, thereby determining, as the target section, the one or more sections including the section with the highest presence probability;
The distribution request unit is an information processing system that requests the distribution system to distribute the target partition in accordance with the distribution conditions defined for the target partition. the distribution system is a plurality of distribution systems including a first distribution system and a second distribution system,
the definition information includes first definition information defining first distribution conditions that are distribution conditions for the first distribution system, and second definition information defining second distribution conditions that are distribution conditions for the second distribution system,
2. An information processing system as described in claim 1, wherein the distribution request unit requests content distribution from at least one of the multiple distribution systems, requests the first distribution system to distribute content in accordance with the first distribution conditions defined for the target area based on the first definition information, and requests the second distribution system to distribute content in accordance with the second distribution conditions defined for the target area based on the second definition information. The information processing system according to claim 2, wherein the distribution request unit requests distribution of the content from at least one of the plurality of distribution systems designated by a distribution instruction source. a performance information acquisition unit configured to acquire performance information for each of the plurality of delivery systems that describes a delivery effect, which is an effect of content delivery through the corresponding delivery system on a group of people in the target section;
The information processing system according to claim 2 or claim 3, wherein the distribution request unit selects, from among the plurality of distribution systems, a distribution system having a relatively high distribution effect as a distribution system to which the distribution request is to be sent, in accordance with the distribution effect of the target section determined from the performance information. The person of interest is two or more people,
the attention target information indicates the second feature amount of each of the two or more people,
The discrimination unit discriminates a group of partitions in the feature space to which the two or more people are associated as a group of target partitions,
An information processing system as described in any one of claims 2 to 4, wherein the distribution request unit, for each target partition of the group of target partitions, requests the first distribution system to perform distribution in accordance with the first distribution conditions defined for the target partition, and requests the second distribution system to perform distribution in accordance with the second distribution conditions defined for the target partition. The person of interest is two or more people,
the attention target information indicates the second feature amount of each of the two or more people,
The discrimination unit discriminates a group of partitions in the feature space to which the two or more people are associated as a group of target partitions,
An information processing system according to any one of claims 1 to 3, wherein the distribution request unit selects one or more sections as distribution target sections from the group of target sections, and requests the distribution system to distribute each of the one or more sections in accordance with the distribution conditions defined for that section. a performance information acquisition unit configured to acquire performance information that describes a distribution effect, which is an effect of content distribution through the distribution system to each of the groups of people in the target section;
7. The information processing system according to claim 6, wherein the distribution request section selects, from the group of target sections based on the performance information, the one or more sections in which the distribution effect is equal to or greater than a standard, as the distribution target sections. a partition information storage unit configured to store, for each partition, partition information describing a characteristic of a group of people belonging to a corresponding partition using a second feature amount different from the first feature amount, for a plurality of partitions defined by subdividing a feature space whose dimension is a first feature amount describing a first characteristic of a person corresponding to a content delivery target;
a target information acquisition unit configured to acquire target information describing a second feature of the target person using the second feature amount;
a discrimination unit configured to discriminate, as a target section, a section in the feature space to which the person of interest is associated, by correlating the person of interest with the section in the feature space based on the section information and the attention target information;
a person information storage unit configured to store, for each of the partitions of the feature space, person information that describes a group of people associated with a corresponding partition using an identifier that is individually assigned to each of the people;
a distribution request unit configured to request a distribution system to distribute content;
Equipped with
The block information indicates , for each of a plurality of groups related to people , a probability of a person belonging to a corresponding group being present in the corresponding block;
The second feature has a plurality of sections,
each of the plurality of groups corresponds to one of the plurality of categories, and is a group of people having the second feature amount belonging to the corresponding one category;
The discrimination unit is
Identifying a group among the plurality of groups that corresponds to a category of the second feature amount of the person of interest as a group of interest;
determining, based on the presence probability of the group of interest in each of the plurality of sections , the person of interest to be associated with one or more sections including the section with the highest presence probability of the group of interest among the plurality of sections, thereby determining, as the target section, the one or more sections including the section with the highest presence probability;
The distribution request unit is an information processing system that requests the distribution system to distribute the content to the group of people associated with the target section by specifying a group of identifiers including the identifiers of each of the people associated with the target section determined from the person information to the distribution system as a distribution destination of the content, so that the distribution system distributes the content to the group of people associated with the target section. a partition information storage unit configured to store, for each partition, partition information describing a characteristic of a group of people belonging to a corresponding partition using a second feature amount different from the first feature amount, for a plurality of partitions defined by subdividing a feature space whose dimension is a first feature amount describing a first characteristic of a person corresponding to a content delivery target;
A selection unit configured to select one or more sections as distribution target sections from among the plurality of sections;
a target information acquisition unit configured to acquire, for each of two or more people, target information of interest that describes a second feature of a corresponding person by using the second feature amount;
a determination unit configured to determine, by associating the two or more persons with the partitions in the feature space based on the partition information and the attention target information, a group of people associated with the partitions to be distributed among the two or more persons, as a group of people to be distributed;
a distribution request unit configured to request a distribution system to distribute content;
Equipped with
The block information indicates , for each of a plurality of groups related to people , a probability of a person belonging to a corresponding group being present in the corresponding block;
The second feature has a plurality of sections,
each of the plurality of groups corresponds to one of the plurality of categories, and is a group of people having the second feature amount belonging to the corresponding one category;
The discrimination unit is
With respect to two or more persons, for each person:
Among the plurality of groups, a group corresponding to a classification of the second feature amount of a corresponding person is identified as a target group;
Associating the corresponding person with one or more sections including a section with a maximum probability of the presence of the group of interest among the plurality of sections based on the probability of the presence of the group of interest in each of the plurality of sections.
by associating the two or more people with a partition in the feature space, and determining, among the two or more people, a group of people associated with the distribution target partition as the group of people to be distributed;
The information processing system includes a distribution request unit that requests the distribution system to distribute the content to the group of people to which the content is to be distributed by specifying, to the distribution system, the identifiers of each person constituting the group of people to which the content is to be distributed, as the distribution destination of the content. a performance information acquisition unit configured to acquire performance information that describes a distribution effect, which is an effect of content distribution through the distribution system to the group of people in each of the plurality of sections;
10. The information processing system according to claim 9, wherein the selection unit selects, as the distribution target section, from among the plurality of sections, the one or more sections for which the distribution effect is equal to or greater than a standard, based on the performance information. The distribution system is a plurality of distribution systems,
the performance information acquisition unit acquires, for each of the plurality of delivery systems, the performance information describing a delivery effect, which is an effect of content delivery through a corresponding delivery system, for each of the sections;
The selection unit further selects, for each section corresponding to the distribution target section, from among the plurality of distribution systems based on the performance information, a distribution system having a relatively high distribution effect as a distribution system to which a distribution request is to be sent;
The information processing system of claim 10, wherein the distribution request unit requests the selected distribution system of the distribution request destination for each section corresponding to the distribution target section to distribute the content so that the content is distributed to a group of people associated with the corresponding section among the group of people to be distributed. The distribution system is a plurality of distribution systems,
the information processing system further includes a performance information acquisition unit configured to acquire, for each of the plurality of delivery systems, performance information describing a delivery effect, which is an effect of content delivery through the corresponding delivery system on the group of people in the corresponding section, for each of the sections;
The selection unit further selects, for each section corresponding to the distribution target section, from among the plurality of distribution systems based on the performance information, a distribution system having a relatively high distribution effect as a distribution system to which a distribution request is to be sent;
The information processing system of claim 9, wherein the distribution request unit requests the selected distribution system of the distribution request destination for each section corresponding to the distribution target section to distribute the content so that the content is distributed to a group of people associated with the corresponding section among the group of people to be distributed. a partition information storage unit configured to store, for each partition, partition information describing a characteristic of a group of people belonging to a corresponding partition using a second feature amount different from the first feature amount, for a plurality of partitions defined by subdividing a feature space whose dimension is a first feature amount describing a first characteristic of a person corresponding to a content delivery target;
a target information acquisition unit configured to acquire, for each of two or more people, target information of interest that describes a second feature of a corresponding person by using the second feature amount;
a discrimination unit configured to discriminate a group of partitions in the feature space to which the two or more persons are associated as a group of target partitions by associating the two or more persons with the partitions in the feature space based on the partition information and the attention target information;
a selection unit configured to select one or more partitions as distribution target partitions from the group of target partitions;
a person information storage unit configured to store, for each of the partitions of the feature space, person information that describes a group of people associated with a corresponding partition using an identifier that is individually assigned to each of the people;
a distribution request unit configured to request a distribution system to distribute content;
Equipped with
The block information indicates , for each of a plurality of groups related to people , a probability of a person belonging to a corresponding group being present in the corresponding block;
The second feature has a plurality of sections,
each of the plurality of groups corresponds to one of the plurality of categories, and is a group of people having the second feature amount belonging to the corresponding one category;
The discrimination unit is
With respect to two or more persons, for each person:
Among the plurality of groups, a group corresponding to a classification of the second feature amount of a corresponding person is identified as a target group;
Associating the corresponding person with one or more sections including a section with a maximum probability of the presence of the group of interest among the plurality of sections based on the probability of the presence of the group of interest in each of the plurality of sections.
by associating the two or more persons with a partition in the feature space, and determining a group of partitions in the feature space to which the two or more persons are associated as a group of target partitions;
The information processing system includes a distribution request unit that requests the distribution system to distribute the content by specifying a group of identifiers including the identifiers of each of the people associated with the distribution target section determined from the person information to the distribution system as a distribution destination of the content, so that the distribution system distributes the content to the group of people associated with the distribution target section. a performance information acquisition unit configured to acquire performance information that describes a distribution effect, which is an effect of content distribution through the distribution system to each of the groups of people in the target section;
14. The information processing system according to claim 13, wherein the selection unit selects, as the distribution target section, the one or more sections in which the distribution effect is equal to or greater than a standard, from among the group of target sections based on the performance information. The information processing system according to any one of claims 8 to 14, wherein the identifier used to specify the distribution destination is an identifier for the distribution system of the distribution request destination to distribute the content to the information terminal of the corresponding person. The information processing system according to claim 15, wherein the identifier includes at least one of an advertisement ID, a cookie ID, and an email address. A computer program for causing a computer to realize the functions of the target information acquisition unit, the determination unit, and the distribution request unit in the information processing system according to any one of claims 1 to 8. A computer program for causing a computer to realize the functions of the selection unit, the target information acquisition unit, the discrimination unit, and the distribution request unit in the information processing system according to any one of claims 9 to 14. 1. A computer-implemented information processing method, comprising:
acquiring, for each of a plurality of partitions defined by subdividing a feature space whose dimension is a first feature amount that describes a first characteristic of a person corresponding to a content delivery target, the partition information from a storage device that stores the partition information, the partition information describing, for each partition, a characteristic of a group of people belonging to the corresponding partition using a second feature amount different from the first feature amount;
acquiring target information describing a second feature of the target person using the second feature amount;
determining, as a target segment, a segment in the feature space to which the person of interest is associated, based on the segment information and the attention target information;
acquiring, from a storage device that stores definition information defining a distribution condition for distributing content to a group of people belonging to a corresponding section as a distribution condition for a distribution system for each section of the feature space;
requesting the distribution system to distribute content in accordance with the definition information;
Including,
The block information indicates , for each of a plurality of groups related to people , a probability of a person belonging to a corresponding group being present in the corresponding block;
The second feature has a plurality of sections,
each of the plurality of groups corresponds to one of the plurality of categories, and is a group of people having the second feature amount belonging to the corresponding one category;
The determining step comprises:
Identifying a group among the plurality of groups that corresponds to a category of the second feature amount of the person of interest as a group of interest;
Corresponding the person to be focused on to one or more sections including the section with the highest probability of the presence of the group of interest among the plurality of sections based on the probability of the presence of the group of interest in each of the plurality of sections, thereby determining the one or more sections including the section with the highest probability as the target section.
Including ,
The information processing method, wherein the requesting includes requesting the distribution system to perform distribution in accordance with the distribution conditions defined for the target partition. 1. A computer-implemented information processing method, comprising:
acquiring, for each of a plurality of partitions defined by subdividing a feature space whose dimension is a first feature amount that describes a first characteristic of a person corresponding to a content delivery target, the partition information from a storage device that stores the partition information, the partition information describing, for each partition, a characteristic of a group of people belonging to the corresponding partition using a second feature amount different from the first feature amount;
acquiring target information describing a second feature of the target person using the second feature amount;
determining, as a target segment, a segment in the feature space to which the person of interest is associated, based on the segment information and the attention target information;
acquiring, for each of the partitions of the feature space, person information from a storage device that stores person information describing a group of people associated with a corresponding partition using an identifier individually assigned to each of the people;
Requesting a delivery system to deliver content;
Including,
The block information indicates, for each of a plurality of groups related to people , a probability of a person belonging to a corresponding group being present in the corresponding block ;
The second feature has a plurality of sections,
each of the plurality of groups corresponds to one of the plurality of categories, and is a group of people having the second feature amount belonging to the corresponding one category;
The determining step comprises:
Identifying a group among the plurality of groups that corresponds to a category of the second feature amount of the person of interest as a group of interest;
Corresponding the person to be focused on to one or more sections including the section with the highest probability of the presence of the group of interest among the plurality of sections based on the probability of the presence of the group of interest in each of the plurality of sections, thereby determining the one or more sections including the section with the highest probability as the target section .
Including,
The information processing method includes requesting the distribution system to distribute the content by specifying a group of identifiers including the identifiers of each of the people associated with the target section determined from the person information to the distribution system as a distribution destination of the content, so that the distribution system distributes the content to the group of people associated with the target section. 1. A computer-implemented information processing method, comprising:
acquiring, for each of a plurality of partitions defined by subdividing a feature space whose dimension is a first feature amount that describes a first characteristic of a person corresponding to a content delivery target, the partition information from a storage device that stores the partition information, the partition information describing, for each partition, a characteristic of a group of people belonging to the corresponding partition using a second feature amount different from the first feature amount;
selecting one or more sections as distribution target sections from among the plurality of sections;
acquiring, for each of the two or more persons, attention target information that describes a second feature of the corresponding person using the second feature amount;
determining a group of people associated with the distribution target section among the two or more people as a group of people to be a distribution target by associating the two or more people with a section in the feature space based on the section information and the attention target information;
Requesting a delivery system to deliver content;
Including,
The block information indicates, for each of a plurality of groups related to people , a probability of a person belonging to a corresponding group being present in the corresponding block ;
The second feature has a plurality of sections,
each of the plurality of groups corresponds to one of the plurality of categories, and is a group of people having the second feature amount belonging to the corresponding one category;
The determining step comprises :
With respect to two or more persons, for each person:
Among the plurality of groups, a group corresponding to a classification of the second feature amount of a corresponding person is identified as a target group;
Associating the corresponding person with one or more sections including a section with a maximum probability of the presence of the group of interest among the plurality of sections based on the probability of the presence of the group of interest in each of the plurality of sections.
and determining , as a group of people corresponding to the distribution target section among the two or more people, as a group of people to be distributed.
Including,
The information processing method includes requesting the distribution system to distribute the content to the group of people to whom the content is to be distributed, by specifying, to the distribution system, an identifier of each person constituting the group of people to whom the content is to be distributed as a distribution destination of the content. 1. A computer-implemented information processing method, comprising:
acquiring, for each of a plurality of partitions defined by subdividing a feature space whose dimension is a first feature amount that describes a first characteristic of a person corresponding to a content delivery target, the partition information from a storage device that stores the partition information, the partition information describing, for each partition, a characteristic of a group of people belonging to the corresponding partition using a second feature amount different from the first feature amount;
acquiring, for each of the two or more persons, attention target information that describes a second feature of the corresponding person using the second feature amount;
determining a group of partitions in the feature space to which the two or more persons are associated as a group of target partitions by associating the two or more persons with partitions in the feature space based on the partition information and the attention target information;
selecting one or more partitions as distribution target partitions from the group of target partitions;
acquiring, for each of the partitions of the feature space, person information from a storage device that stores person information describing a group of people associated with a corresponding partition using an identifier individually assigned to each of the people;
Requesting a delivery system to deliver content;
Including,
The block information indicates , for each of a plurality of groups related to people , a probability of a person belonging to a corresponding group being present in the corresponding block;
The second feature has a plurality of sections,
each of the plurality of groups corresponds to one of the plurality of categories, and is a group of people having the second feature amount belonging to the corresponding one category;
The determining step comprises :
With respect to two or more persons, for each person:
Among the plurality of groups, a group corresponding to a classification of the second feature amount of a corresponding person is identified as a target group;
Associating the corresponding person with one or more sections including a section with a maximum probability of the presence of the group of interest among the plurality of sections based on the probability of the presence of the group of interest in each of the plurality of sections.
and determining a group of the partitions in the feature space to which the two or more people are associated as a group of target partitions.
Including,
The information processing method includes requesting the distribution system to distribute the content by specifying a group of identifiers including the identifiers of each of the people associated with the distribution target section determined from the person information to the distribution system as a distribution destination of the content, so that the distribution system distributes the content to the group of people associated with the distribution target section.

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