JP5673566B2 - Information provision device - Google Patents

Description

  The present invention relates to an information providing apparatus, and more particularly, to an information providing apparatus that provides evaluation information representing a consumer's evaluation on an evaluation target by acquiring and analyzing information on the evaluation target that is disclosed on a network.

  2. Description of the Related Art Conventionally, for example, an information propagation measurement system and method on the Internet as shown in Patent Document 1 below is known. In this conventional information propagation measurement system and method, the analysis server has an information source classification module, a user identification module, a date and time identification module, a usage APL, and a propagation measurement module, and a BBS site, a corporate site, and a personal page Information is collected from each Web server of the aggregate. In this way, the topic symbolized by a given word, the so-called word-of-mouth information spread to society, or its strength can be measured, and the effects of topics that are highly interested in society can be measured in various situations. It has become.

  Further, conventionally, in connection with the above-mentioned word-of-mouth information, for example, in Patent Document 2 below, an event information extraction method for extracting and providing a phrase that a user is interested in from document information such as word-of-mouth information during the event holding, and An apparatus and a program are shown, and in Patent Document 3 below, the analysis server collects sentences including word-of-mouth information posted by Internet users, and uses it by collecting and analyzing the actual condition of word-of-mouth on the Internet. An information analysis system and method that can easily obtain an analysis result of the actual state of word of mouth desired by a person are shown. Also, for example, Patent Document 4 below shows a word-of-mouth information management system, word-of-mouth information management method, and word-of-mouth information management program for collecting word-of-mouth information on the Internet related to various services and facilities, The following Patent Document 5 shows a campaign evaluation method and system for a communication service that can accurately evaluate the effect of a new subscription campaign that uses the word-of-mouth effect on the communication service. A word-of-mouth tracking system and server for tracking and analyzing word-of-mouth paths between users are shown.

JP-A-2005-63241 JP 2006-79412 A JP 2005-32197 A JP 2011-59886 A JP 2010-257379 A JP 2008-130044 A

  By the way, in the conventional apparatuses, systems, and methods shown in Patent Documents 1 to 6, in particular, the system and method shown in Patent Document 1 are based on the number of word-of-mouth information postings, so It is possible to grasp the spread (transmission status) of word-of-mouth information by Internet users (consumers) for the target evaluation object. However, in grasping the spread of word-of-mouth information based on the mere number of posts, for example, the number of posts of word-of-mouth information temporarily increases immediately before and after the evaluation target is released or held (in other words, The number of postings in a certain period of time is small when review information is posted for a long period of time before and after the evaluation target is released or held, If it is equivalent, it will be grasped as a similar propagation situation. That is, when grasping the spread of word-of-mouth information by such a conventional method, in other words, when evaluating the interest in the evaluation target by consumers who are Internet users, the evaluation content is not quantitative over time. Therefore, the evaluation is performed by appropriately reflecting temporary trends that immediately increase the number of contributions of word-of-mouth information immediately before the evaluation target is released or held, and trends that are influenced by trends. Is difficult.

  On the other hand, on the side that provides the evaluation target (for example, the product manufacturer, business operator, event organizer, etc.), the evaluation target (product or event) to be provided becomes a temporary topic of interest to consumers. It is important to have it appreciated and accepted. However, it is more important that the evaluation target to be provided is evaluated with an interest and accepted by the consumer so that it is continuously discussed in the long term. That is, the topicality over a long period of time, in other words, the consumer's interest in the evaluation target for a long time without being influenced by the fashion, This is because, for example, it is extremely important in grasping whether it is possible to ensure the sales of products and the number of visitors of events (events).

  The present invention has been made to address the above-described problems, and an object thereof is to provide an information providing apparatus that provides evaluation information that can be used to quantitatively evaluate an evaluation target over time. There is.

  An information providing apparatus according to the present invention for achieving the above object acquires post information by a consumer posted on a network in relation to an evaluation target and published, and the evaluation target is based on the acquired post information. Evaluation information representing evaluation by the consumer is provided. For this reason, the information providing apparatus according to the present invention is characterized in that it includes a time specifying means and an evaluation information creating means.

  The time specifying means specifies a time when the posting number of the posted information posted in relation to the evaluation target is an extreme value. Here, examples of evaluation targets include products and events (events) that are disclosed on a network (specifically, the Internet or the like) or related information is disclosed. The posted information includes reputation and impressions related to the evaluation target posted on the network by the consumer, such as word-of-mouth information, blog, microblog, or word-of-mouth information posted from a predetermined SNS. Etc. Furthermore, as the extreme value of the number of posts of the posted information, for example, the maximum value of the number of posts within a predetermined period can be adopted.

  The evaluation information creating means determines the evaluation of the posted information as the posting time when the posting information is posted deviates from the time when the posting information is specified by the time specifying means. The evaluation information is created by increasing the degree of contribution to the information. In this case, the evaluation information creating means includes a time that is earlier than the time when the extreme number of the number of posts specified by the time specifying means is reached, and a time that is later than the time when the extreme value is reached. The evaluation information can be created by increasing the contribution degree as the posting time when the posting information is posted deviates from the time when the posting number becomes the extreme value.

  Here, in these cases, the degree of contribution may represent the ratio of the number of posts of the posted information to the extreme value at the posting time that deviates from the extreme time. That is, the number of postings of the posting information at the posting time deviating from the extreme value time can be determined by multiplying the extreme value by the ratio. In this case, the evaluation information creating means can determine the ratio to a larger value as the posting time at which the posted information is posted deviates from the extreme time. That is, the ratio (the contribution) increases or decreases in proportion to the period between the extreme time and the posting time, and the ratio (the contribution) increases as the period increases. A larger value is determined toward “1”, and the ratio (the contribution) is determined as a smaller value toward “0” as the period becomes smaller.

  In this case, the time specifying unit specifies the time when the extreme value is reached based on the number of posts of the posted information acquired in time series, and acquires the time series deviating from the time when the extreme value is reached. The posting time when the number of postings of the posted information exceeds a predetermined threshold can be specified. In this case, the evaluation information creating unit corrects the number of posts of the posted information posted at the posting time exceeding the predetermined threshold by using the ratio, and the number of posts specified by the time specifying unit. The evaluation information can be created by calculating the size of a polygonal area that includes the extreme value of and the corrected number of posts as vertices. Furthermore, in this case, more specifically, the area of the polygon calculated by the evaluation information creating unit is, for example, the extreme value of the specified number of posts, the corrected number of posts, and the time specifying unit. The trapezoidal area including the number of posts that coincides with the predetermined threshold value at the specified posting time can be used as the apex area.

  According to these, the contribution degree (ratio with respect to the extreme value of the number of posts) of the posted information posted in relation to the evaluation target that has been a topic in the long term is increased (that is, the posted information over the long term). (Respecting the significance of posting)), it is possible to create and provide evaluation information representing the evaluation by the consumer to be evaluated. Specifically, the more the number of postings of posted information that has been a topic for a long time in this way has become farther away from the extreme time (the longer the period), the more extreme Determine (correct) a large value using the ratio that approximates the value, and create evaluation information by calculating the size of the polygon (specifically, trapezoid) determined using the number of posts. Can do.

  As a result, users who are provided with evaluation information (e.g. manufacturers, operators, organizers, etc. to be evaluated) place importance on long-term evaluation rather than temporary (temporary) evaluation by consumers, It is possible to quantitatively grasp the evaluation target (that is, the level of interest by the consumer) over time. Accordingly, the user who is provided with the evaluation information can more accurately and easily acquire the consumer's reaction to the evaluation object, and the product based on the evaluation information, for example, without relying on past experience and precedents. It is possible to make an effective sales plan and achieve sales promotion, or to hold an effective event based on the evaluation information.

It is the schematic which shows the structure of the system which can apply the information provision apparatus which concerns on this invention. It is the schematic which shows the structure of the evaluation information provision apparatus of FIG. It is the schematic which shows the structure of the terminal device of FIG. It is the schematic which shows the structure of the web server of FIG. It is the schematic which shows the structure of the analysis server of FIG. It is a flowchart for demonstrating the flow in which the evaluation information provision apparatus of FIG. 1 and an analysis server cooperate, and produce the evaluation information of evaluation object. It is a figure for demonstrating the maximum number of cases, an afterfeeling period, and an afterglow period. It is a figure for demonstrating calculating the evaluation value (trapezoid area) which is evaluation information using an afterfeeling coefficient and an afterglow coefficient.

  Hereinafter, an information providing apparatus according to an embodiment of the present invention will be described with reference to the drawings. FIG. 1 shows a schematic configuration of a network system to which the information providing apparatus of the present invention can be applied. This network system, for example, evaluates the topicality of products and events (events) as evaluation targets that are disclosed on the network and publicly disclosed related information, in other words, the degree of interest of consumers in the evaluation targets Evaluation information providing apparatus 10 as an information providing apparatus for providing evaluation information for quantitatively evaluating (height) to at least users (for example, manufacturers, business operators, organizers, etc.) involved in the evaluation object, and consumption A plurality of terminal devices 20 that a person posts as a post information on so-called word-of-mouth information, blogs, microblogs, word-of-mouth information from a predetermined SNS, etc. Web server 30 that provides various information to consumers, and each necessary for evaluation of the evaluation object by acquiring and analyzing the posted information Composed of the analysis server 40 for storing extracted information. In this network system, the evaluation information providing device 10, the terminal device 20, the Web server 30, and the analysis server 40 are connected to each other via a network 50 such as the Internet network so that they can communicate with each other.

  The evaluation information providing apparatus 10 is used at least by users such as manufacturers, business operators, organizers, etc., and quantitatively evaluates a consumer's evaluation for a product or an event to be evaluated over time. The evaluation information is provided to the user. Therefore, the evaluation information providing apparatus 10 includes an electronic control unit 11, a communication unit 12, a storage unit 13, an input unit 14, and a display unit 15 that are communicably connected to each other, as schematically shown in FIG. Yes.

  The electronic control unit 11 is a microcomputer whose main components are a CPU, a ROM, a RAM, and the like, and comprehensively controls the operation of the evaluation information providing apparatus 10 described in detail later by executing various programs. The communication unit 12 enables at least wireless communication or wired communication with the analysis server 40 via the network 50. The storage unit 13 includes a storage medium such as a hard disk and a semiconductor memory and a drive device for the storage medium, and programs and data necessary for the electronic control unit 11 to control the operation of the evaluation information providing apparatus 10 in an integrated manner. Is stored in advance. The input unit 14 is for inputting characters, numbers, figures, etc., such as a keyboard. The display unit 15 displays characters, numbers, figures, etc., such as a liquid crystal display.

  The terminal device 20 is used by a consumer who uses a product to be evaluated or participates in an event. The terminal device 20 is posted information (specifically, reputation, evaluation, impressions, etc.) Word-of-mouth information etc.) is posted to the Web server 30 on the network 50. For this reason, the terminal device 20 also includes an electronic control unit 21, a communication unit 22, a storage unit 23, an input unit 24, and a display unit 25 that are communicably connected to each other, as shown in FIG.

  The electronic control unit 21 is a microcomputer whose main components are a CPU, a ROM, a RAM, and the like. By executing various software (programs) such as browser software, the terminal device 20 (to be described later) can post word-of-mouth information. Control all over. The communication unit 22 enables at least wireless communication or wired communication with the Web server 30 via the network 50. The storage unit 23 includes a storage medium such as a hard disk and a semiconductor memory and a drive device for the storage medium, and stores in advance various software (various programs) such as the above-described browser software and various data. The input unit 24 is for inputting characters such as a keyboard, numbers, figures, and the like. The display unit 25 displays characters, numbers, figures, etc., such as a liquid crystal display. Here, specifically, a mobile phone such as a smartphone, a tablet-type mobile information terminal, a personal computer, or the like can be adopted as the terminal device 20.

  The Web server 30 operates a corporate website and a personal website to provide information related to the evaluation target, for example, news, etc., and also operates a CGM (Consumer Generated Media) site. It accepts and publishes post information posted by consumers. For this reason, as shown in FIG. 4, the Web server 30 includes an electronic control unit 31 composed of a microcomputer whose main components are a CPU, ROM, RAM, and the like. The terminal device 20 and the analysis server 40 are communicably connected via the network 50. As shown in FIG. 4, the Web server 30 includes a storage unit 33, and a BBS (Bulletin Board for receiving various posted information from consumers) is stored in a predetermined storage position of the storage unit 33. System: Electronic bulletin board system) Software is stored. Also, in this storage unit 33, postings for various evaluation objects posted by consumers, that is, postings for storing and storing CGM data consisting of text information representing reputation, impressions, and the like in association with posting dates and times are stored. An information database 33a is constructed.

  The analysis server 40 cooperates with the Web server 30 to acquire post information (CGM data) stored in the post information database 33a in association with the post date and time, and relates to the evaluation information to be evaluated by the consumer. Various information to be provided is provided to the evaluation information providing apparatus 10. Therefore, as shown in FIG. 5, the analysis server 40 also includes an electronic control unit 41 composed of a microcomputer whose main components are a CPU, a ROM, a RAM, and the like. They are connected so as to be communicable with the Web server 30 and the evaluation information providing apparatus 10 via the network 50. As shown in FIG. 5, the analysis server 40 includes a database 43 that stores various parameters necessary for estimating and calculating an evaluation value, which will be described later, which is evaluation information to be evaluated. In this case, it is also possible to construct the database 43 so that the posting information (CGM data) acquired from the posting information database 33a of the Web server 30 is stored in association with the posting date so as to be searchable. .

  Next, the operation of the network system according to the present embodiment configured as described above, that is, the operation of the evaluation information providing apparatus 10 as the information providing apparatus will be described in detail with reference to FIG. In describing the operation of the network system, that is, the evaluation information providing apparatus 10, the evaluation object is referred to as, for example, a product exhibition event (hereinafter referred to as “XYZ show”) held on the day of month. ) Will be described in detail below as an example.

  First, the user of the evaluation information providing apparatus 10 (for example, the organizer of the “XYZ show”) accesses the Web server 30 by using the terminal device 20 that can be used by the user, for example, and establishes the network 50 from the Web server 30. The information about the “XYZ show” is requested to be distributed N months before the date of the event. As a result, the Web server 30 distributes and publishes information on the “XYZ show” (specifically, information on the contents of the “XYZ show”, exhibits, etc.) from N months before the event date. As described above, the information related to the “XYZ show” distributed by the Web server 30 is acquired and confirmed by the information terminal 20 used by each consumer via the network 50.

  Each consumer uses the browser software of the information terminal 20 to hold the “XYZ show” on the day before the month △ day (event date) based on the distributed information. I am looking forward to the opinions regarding the “XYZ Show”, for example, the “XYZ Show”. ”And“ XYZ Show ”are not enough products to be exhibited. Can be posted to the Web server 30 as word-of-mouth information or blog post information. In addition, at the time after the “month / day” (event date) when the “XYZ show” is held, each consumer uses the browser software of the information terminal 20 to give opinions on the “XYZ show” held, For example, ““ XYZ Show ”was good. "And" XYZ show "was not as good as expected" can be posted to the Web server 30 as word-of-mouth information and blog post information.

  In the Web server 30, a large amount of posted information posted from a large number of consumers using the information terminal 20 is received by the BBS software via the network 50. Then, the Web server 30 searches all the posted information (CGM data) received including the posted information related to the “XYZ show” in a predetermined storage location in the posted information database 33a in association with the posted date (posted date). Accumulate and memorize as possible.

  Thus, while the posting information database 33a is constructed in the Web server 30, a user who is a manufacturer, a business operator, or an organizer uses the input unit 14 of the evaluation information providing device 10 to evaluate " Input a specific word, which is text information for specifying "XYZ show", and instruct to create and output evaluation information (specifically, an evaluation value described later) of "XYZ show" with which it is involved To do. In the evaluation information providing apparatus 10, the electronic control unit 11 acquires a specific word input to the input unit 14. Then, as illustrated in FIG. 6, the electronic control unit 11 extracts and acquires post information including the specific word from the Web server 30 together with the specific word input by the user via the communication unit 12 and the network 50. Request information requesting this is transmitted to the analysis server 40.

  The analysis server 40 receives and acquires the specific word and request information transmitted from the electronic control unit 11 of the evaluation information providing apparatus 10 via the network 50 and the communication unit 42. Then, the analysis server 40 requests the Web server 30 to provide post information including a specific word in accordance with the request from the evaluation information providing apparatus 10. In the Web server 30, the posting information database 33 a is searched using a specific word, and posting information (CGM data) related to “XYZ show” is extracted. Then, the Web server 30 transmits the extracted posting information (CGM data) to the analysis server 40 via the network 50.

  The analysis server 40 receives and obtains post information (CGM data) related to the extracted “XYZ show” from the Web server 30 and temporarily stores it in a predetermined storage location of the database 43, for example. Then, the analysis server 40 transmits extraction completion information indicating that post information (CGM data) regarding “XYZ show” has been extracted to the evaluation information providing apparatus 10. In the evaluation information providing apparatus 10, when the extraction completion information transmitted from the analysis server 40 is acquired via the communication unit 12, the electronic control unit 11 subsequently determines the number of posts of the extracted post information (CGM data). Aggregation request information for requesting aggregation in time series is transmitted to the analysis server 40.

  When the analysis server 40 receives and obtains the aggregation request information from the evaluation information providing apparatus 10, as described above, the number of posts of post information (CGM data) temporarily stored in a predetermined storage position of the database 43. Are collected in time series. That is, the analysis server 40 acquires date / time information indicating the posting date / time associated with the posting information (CGM data) temporarily stored in the database 43, and is associated based on the acquired date / time information. The number of posts of post information (CGM data) is totaled in time series. Then, when the number of posts of post information (CGM data) is totaled in time series, the total number information indicating the total result is transmitted to the evaluation information providing apparatus 10.

  In the evaluation information providing apparatus 10, the electronic control unit 11 receives and acquires the number total information transmitted from the analysis server 40 via the communication unit 12, and stores the acquired number total information in the storage unit 13. Temporarily store in position. And the electronic control unit 11 produces the number transition graph showing transition of the number of contributions of time series contribution information (CGM data) as shown in FIG. 7 based on the acquired number total information. Subsequently, the electronic control unit 11 determines the maximum number M of posting information (CGM data) that is the maximum value (extreme value) and the time (date and time) when the maximum number M is based on the created number transition graph. (Identify. Furthermore, the electronic control unit 11 has a sense of pleasure (premonition) that consumers are looking forward to the event ("XYZ show") being held before the time (date and time) when the maximum number M is reached. ) Remembering period ΔT1 (hereinafter referred to as after-sensing period ΔT1) and the event (“XYZ show”) later than the period (date and time) of the maximum number of cases M Is determined (specified) as a period ΔT2 in which the consumer remembers the reverberation (hereinafter, this period is referred to as a reverberation period ΔT2).

  Specifically, the electronic control unit 11 first determines (specifies) the maximum value of the number of posts of the post information (CGM data) aggregated in time series as the maximum number M, and sets the maximum number M as Determine (specify) the time (date) to be. Next, as shown in FIG. 6, the electronic control unit 11 obtains a threshold value L set in advance to determine the aftereffect period ΔT1 and the aftereffect period ΔT2 from the analysis server 40, and as shown in FIG. In the transition of the number of posting information (CGM data) in Yamagata, the period from the time when the maximum number M is posted among the time when the number of postings is the threshold L (for example, the event date) to the previous time in terms of time ΔT1 is determined, and the time after the time when the maximum number M is reached (for example, the event date) is determined as the reverberation period ΔT2.

  In this way, when the maximum number of cases M and their timing, after-sensing period ΔT1 and after-sensing period ΔT2 are determined, the electronic control unit 11 evaluates the evaluation (interest) by the consumer of the “XYZ show” to be evaluated over time. On the other hand, an evaluation value expressed quantitatively is calculated. Hereinafter, the calculation of the evaluation value will be described in detail.

  First, the electronic control unit 11 approximates the mountain shape in the case transition graph shown in FIG. 7 with a triangle as shown by a thin solid line in FIG. 8 using the maximum number M, the after-sensing period ΔT1, and the after-effect period ΔT2. To do. Subsequently, as shown in FIG. 6, the electronic control unit 11 determines from the analysis server 40 according to the aftereffect coefficient α determined according to the length of the aftereffect period ΔT1 and the length of the aftereffect period ΔT2. As shown by a thick solid line in FIG. 8, the number transition graph approximated by a triangle is trapezoidally converted by trapezoidalization using the afterfeeling coefficient α and the afterling coefficient β. In this way, by converting the number transition graph into a trapezoid using the afterglow coefficient α that depends on the afterglow period ΔT1 and the afterglow coefficient β that depends on the afterglow period ΔT2, an evaluation value that appropriately reflects the passage of time is calculated. be able to. Here, the aftereffect coefficient α and the afterglow coefficient β will be specifically described.

  The after-feeling coefficient α is a coefficient (ratio) that varies between 0 <α <1 in proportion to the length of the after-sensing period ΔT1, and the longer the after-sensing period ΔT1 (the greater the difference from the time when the maximum number of cases M is reached). This is a coefficient (ratio) that changes to a larger value and changes to a smaller value as the after-sensing period ΔT1 becomes shorter. In other words, the after-feeling coefficient α is an evaluation subject “XYZ Show” that has become a hot topic among consumers and posted information (CGM data) has been posted. The higher the interest in, and the longer the sensation period ΔT1, the greater the contribution of the posted information (CGM data) to the evaluation value of the “XYZ show” that is the evaluation target (more details will be described later) So that the trapezoidal area calculated in (1) increases) is set to a large value less than “1”. On the other hand, the after-feeling coefficient α indicates that “XYZ Show” has not become a topic among consumers since early on, and post information (CGM data) is posted immediately before the date of the event. The lower the after-sensation period ΔT1 is (ie, the more transient the topic), the greater the contribution to the evaluation value of the “XYZ show” that is the evaluation target of the posted information (CGM data). Is set to a small value close to “0” so that becomes smaller (more specifically, the trapezoidal area becomes smaller).

  The reverberation coefficient β is a coefficient (ratio) that varies between 0 <β <1 in proportion to the length of the reverberation period ΔT2, and the longer the reverberation period ΔT2 (the more distant from the time when the maximum number M is reached). It is a coefficient (ratio) that changes to a larger value and changes to a smaller value as the reverberation period ΔT2 becomes shorter. In other words, the reverberation coefficient β is “XYZ show” that has been a topic until the late time after the “XYZ show” to be evaluated, and post information (CGM data) has been posted. The higher the interest of the person and the longer the reverberation period ΔT2, the greater the contribution of the posted information (CGM data) to the evaluation value of the “XYZ show” that is the evaluation target (more specifically, the trapezoid area It is set to a large value less than “1”. On the other hand, the reverberation coefficient β is not a topic among consumers until the late time after the “XYZ Show” is held, for example, as in a temporary epidemic, and the number of posts of post information (CGM data) is rapid. In other words, the lower the interest by the consumer and the shorter the reverberation period ΔT2, the smaller the contribution to the evaluation value of the “XYZ show” that is the evaluation target of the posted information (CGM data) posted. (To be more specific, the trapezoid area is reduced.) The value is set to a small value close to “0”.

  Then, as shown in FIG. 8, the electronic control unit 11 corrects the number of posts in the after-sensing period ΔT1 using the after-sensing coefficient α determined depending on the length of the after-sensing period ΔT1, that is, the maximum number of cases. The number of postings calculated by multiplying the maximum number M by the aftereffect coefficient α as a percentage by the number of postings (= threshold L) at a time that is traced back by the aftersensitivity period ΔT1 with respect to the time M (for example, the event date) Correct so that Further, as shown in FIG. 8, the electronic control unit 11 corrects the number of postings in the reverberation period ΔT2 using the reverberation coefficient β determined depending on the length of the reverberation period ΔT2, that is, the maximum number M is obtained. Correction so that the number of posts (= threshold L) at the time advanced by the reverberation period ΔT2 based on the time (for example, the event date) becomes the number of posts calculated by multiplying the maximum number M by the reverberation coefficient β as a ratio To do. Then, the electronic control unit 11 uses the post number corrected in this way, as shown in FIG. 8, the triangle that approximates the mountain shape in the number transition graph is set to the length of the aftereffect period ΔT1 and the aftereffect period ΔT2. Reflecting, in other words, trapezoid conversion reflecting the high interest (topicality) of consumers.

  As described above, when the number transition graph is trapezoidally converted, the electronic control unit 11 calculates the first trapezoid area in the after-sensing period ΔT1 and the second trapezoid area in the after-effect period ΔT2 as shown in FIG. calculate. Then, the electronic control unit 11 adds the calculated first trapezoid area and the second trapezoid area, and evaluates the trapezoid area as the total polygonal area with respect to the evaluation target “XYZ show”. Is estimated and determined as an evaluation value.

  As described above, when the evaluation value (trapezoid area) representing the consumer's evaluation for the “XYZ show” to be evaluated is determined, the electronic control unit 11 displays a preset display mode (for example, display of numbers and figures). Thus, the evaluation value is displayed on the display unit 15. At this time, for example, the electronic control unit 11 acquires evaluation values of other evaluation targets that are related to the event “XYZ show” and can be compared from the analysis server 40 and evaluate the determined “XYZ show”. It is also possible to display by a display mode contrasted with the value.

  Thereby, the user (manufacturer, business operator, or organizer) of the evaluation information providing apparatus 10 confirms the evaluation value (evaluation value) displayed on the display unit 15, and thereby the “XYZ show” that is the evaluation target. The consumer's evaluation (degree of interest) can be grasped quantitatively over time. Then, for example, the user provides an evaluation value (evaluation value) for another evaluation object related to the “XYZ show” (for example, a product exhibited at the “XYZ show”) or a completely different evaluation object. If desired, the evaluation value (evaluation value) for the intended evaluation object can be provided by the above-described operation (procedure).

  As can be understood from the above description, according to the present embodiment, it is possible to grasp the evaluation of the evaluation object quantitatively (that is, the level of interest by the consumer) quantitatively over time. Therefore, for example, it is possible to more accurately and easily obtain the judgment of whether or not to hold an event and the market reaction related to product sales, etc., and an effective event can be held regardless of previous experience and precedent. It is possible to achieve sales promotion by making an effective sales plan for the product.

  In carrying out the present invention, the present invention is not limited to the above embodiment, and various modifications can be made without departing from the object of the present invention.

  For example, in the above embodiment, the information providing apparatus is the evaluation information providing apparatus 10 used by a user (manufacturer, business operator, organizer, etc.), and the electronic control unit 11 sends various information ( The CGM data, the number of time series, the threshold value L, the afterfeeling coefficient α, and the afterglow coefficient β) were requested, and the evaluation value (evaluation information) to be evaluated was provided. In this case, the information providing apparatus may be the analysis server 40, and the analysis server 40 may calculate and provide an evaluation value (evaluation information) to be evaluated. In this case, specifically, the user (manufacturer, business operator, organizer, etc.) designates the evaluation target to the analysis server 40 via the evaluation information providing device 10 and requests the provision of the evaluation value. The analysis server 40 which is an information providing device acquires CGM data related to the evaluation target designated from the Web server 30 and totals the number of cases of the CGM data in time series, the maximum number M, the after-sensing period ΔT1 and the afterglow. The period ΔT2 is calculated, an evaluation value (trapezoid area) is calculated by trapezoidalization processing using the afterfeel coefficient α and the aftereffect coefficient β, and the evaluation information is evaluated via the network 50 as evaluation information of the evaluation target. To the providing device 10. In the evaluation information providing apparatus 10, the electronic control unit 11 receives and acquires the evaluation information via the communication unit 12, and the acquired evaluation information is used by the user (manufacturer or business operator, Provide (present) to organizers. Therefore, this also provides the same effect as the above embodiment, and the evaluation information providing apparatus 10 only acquires and presents the evaluation information from the analysis server 40. For example, as the evaluation information providing apparatus 10 A mobile phone such as a smartphone or a tablet-type mobile information terminal can be employed. Thereby, a user's convenience can be improved.

  Further, in the above embodiment, the Web server 30 and the analysis server 40 are provided on the network 50. In this case, since the analysis server 40 uses CGM data stored in association with the posting date and time so as to be searchable in the posting information database 33a, for example, the Web server 30 and the analysis server 40 can be provided integrally. Needless to say. Even in this case, the analysis server 40 can operate in the same manner as in the above embodiment, and the same effect as in the above embodiment can be obtained.

  DESCRIPTION OF SYMBOLS 10 ... Evaluation information provision apparatus, 11 ... Electronic control unit, 12 ... Communication unit, 13 ... Memory | storage unit, 14 ... Input unit, 15 ... Display unit, 20 ... Information terminal, 21 ... Electronic control unit, 22 ... Communication unit, 23 ... Storage unit, 24 ... Input unit, 25 ... Display unit, 30 ... Web server, 31 ... Electronic control unit, 32 ... Communication unit, 33 ... Storage unit, 33a ... Posting information database, 40 ... Analysis server, 41 ... Electronic control Unit, 42 ... Communication unit, 43 ... Database, 50 ... Network

Claims (5)

An information providing apparatus that obtains post information by a consumer who is posted on the network in relation to the evaluation target and is released, and provides evaluation information representing the evaluation by the consumer of the evaluation target based on the acquired post information Because
A time specifying means for specifying a time when the post information is posted as an extreme value of the post information related to the evaluation target;
The contribution degree of the posted information posted to the evaluation information increases as the posting time of the posted information deviates from the extreme time of the number of posts specified by the time specifying means. And an evaluation information creating means for creating the evaluation information. The information providing apparatus according to claim 1,
The evaluation information creating means includes
Of the number of posts, a time that precedes the time when the extreme value of the number of posts specified by the time specifying means and a time that is later than the time when the extreme value is reached The information providing apparatus is characterized in that the evaluation information is created by increasing the contribution degree as the posting time when the posting information is posted deviates from the extreme time. In the information providing apparatus according to claim 1 or 2,
The degree of contribution represents a ratio of the number of posts of the posting information at the posting time that deviates from the time when the extreme value is reached, to the extreme value,
The evaluation information creating means includes
The information providing apparatus is characterized in that the ratio is determined to be a larger value as the posting time when the posting information is posted deviates from the extreme time. The information providing apparatus according to claim 3,
The time specifying means is:
The time when the extreme value is specified based on the number of posts of the post information acquired in time series, and the number of posts of the post information acquired in the time series deviating from the time of the extreme value is a predetermined threshold value. Identify posting times that exceed
The evaluation information creating means includes
Correct the number of posts of the posted information posted at the posting time exceeding the predetermined threshold using the ratio,
The evaluation information is created by calculating the size of a polygonal area including the extreme value of the number of posts specified by the time specifying means and the corrected number of posts as a vertex. Providing device. In the information provision apparatus according to claim 4,
The area of the polygon calculated by the evaluation information creating means is
It is a trapezoidal area including the extreme value of the specified number of posts, the corrected number of posts, and the number of posts matching the predetermined threshold at the posting time specified by the time specifying means as vertices. An information providing apparatus characterized by that.

Images