JP5220554B2 - Questionnaire survey apparatus, questionnaire survey system, questionnaire survey method and program - Google Patents

Description

  The present invention relates to a questionnaire survey apparatus, a questionnaire survey system, a questionnaire survey method, and a program for conducting a questionnaire survey for an unspecified number of users using the Internet, and in particular, information on users obtained by a search service. It relates to the technology used for questionnaire surveys.

Traditionally, companies that provide products and services have been asked to present the same questions to a large number of unspecified users and aggregate the responses from users as a method of obtaining information for reference to product development and service improvement. There is an investigation. In recent years, questionnaire surveys using the Internet have been realized. For example, a service (questionnaire survey service) is provided in which a questionnaire survey is specially performed under commission from various companies, and points etc. are given as rewards to users who have answered the questionnaire survey.
In such a questionnaire survey service, a user who wishes to reply registers user attributes such as age, sex, occupation, family structure, and items of interest in advance. Then, the provider of the questionnaire survey service extracts a monitor (user targeted for the questionnaire survey) suitable for the entrusted questionnaire contents by referring to the user attribute.
At this time, a technique for extracting a monitor with reference to not only user attributes but also a user's product purchase history has been proposed (for example, Patent Document 1).
JP 2006-18340 A

However, in the above-described conventional questionnaire survey, there are cases where users who are interested in items related to the contents of the questionnaire are extracted as monitors, so that some users may be interested in acquiring many points. It may register as many items as possible. In particular, in order to facilitate the user's registration work, if an item of interest is selected by a check box and registered, some users have selected all items.
Therefore, there is no particular problem when a monitor is extracted based on information that is uniquely determined for a user, such as age, sex, occupation, family structure (married / unmarried, etc.) among user attributes, but there is interest. When a monitor is extracted based on information that can be arbitrarily set by the user such as an item, a monitor suitable for the contents of the questionnaire may not be extracted. For this reason, the result of the questionnaire survey may not reflect the response (opinion) of the monitor that should be the target.
Moreover, since there are many answers that are not very helpful for companies that have entrusted questionnaire surveys, the questionnaire results cannot be used effectively in future policies.

In addition, when the invention described in Patent Document 1 is applied, it is considered that an appropriate user is extracted rather than performing monitor extraction based only on user attributes in order to use the purchase history of the user as a reference at the time of monitor extraction. However, if the monitor is narrowed down based on the purchase history, only some users who actually purchased the product will be subject to the questionnaire survey, and there is a possibility that an effective population cannot be obtained. There is a fear that it does not hold.
Thus, it cannot be said that the effective questionnaire survey is carried out in the conventional questionnaire survey service.

On the other hand, it is said that there is a law in the process from the consumer knowing a certain product to the purchase. For example, the AIDMA law indicates a five-stage process model of Attention → Interest → Desire → Memory → Action.
In recent years, AISAS called Attention → Interest → Interest → Search → Action (action, purchase) Share (sharing, sharing product evaluations online) Has been proposed. According to this process model, it can be said that the majority of consumers take the action of “search” when purchasing a product.
In addition, not only when purchasing products, but general users who use the Internet regularly search for desired web pages (that is, web pages that disclose information that they are interested in) using keywords or the like. Is going.
As described above, the keywords used in the search are considered to be related to the item that the user is currently interested in. Therefore, if a search log including this keyword or the like is used, it is considered that the item that the user is currently interested in can be specified with high accuracy.

  The present invention provides information on users obtained by a search service in a questionnaire survey apparatus, a questionnaire survey system, a questionnaire survey method, and a program for conducting a questionnaire survey for an unspecified number of users using the Internet ( The purpose is to provide a technology that uses search logs.

In order to achieve the above object, the invention described in claim 1 is a questionnaire survey device that transmits a questionnaire to a client terminal via a network to perform a questionnaire survey,
A search log registration unit that acquires a search log in which a search request by a keyword made to the search server from the client terminal is recorded, and registers the acquired search log for each user;
User attribute registration means for registering a unique user attribute for each user,
Monitor extraction means for comparing a monitor extraction condition set for each questionnaire survey with the user attribute and the search log, and extracting a user whose monitor attribute is included in the user attribute and the search log as a survey target When,
Simplifying means for deleting items that can be answered by information included in at least one of the user attribute and the search log among items included in the questionnaire;
And a questionnaire totaling unit that counts responses transmitted from the client terminal by a user's response operation.

  According to a second aspect of the present invention, in the questionnaire survey device according to the first aspect, a user attribute that matches the monitor extraction condition for each questionnaire and user information obtained from the search log are added to the response transmitted from the client terminal. It has the additional means to do.

  According to a third aspect of the present invention, in the questionnaire survey device according to the second aspect, the questionnaire totalization unit analyzes users who have keywords having the same content in the search log included in the user information. It is selected as a specific user, and the answers of the specific user are totaled and analyzed.

The invention according to claim 4 is the questionnaire survey device according to any one of claims 1 to 3, wherein the search log includes a search date and time when the search request is made,
The monitor extracting unit extracts a user to be surveyed based on a search log having a search date and time within a predetermined period from search logs registered in the search log registration unit.

An invention according to claim 5 comprises the questionnaire survey device according to any one of claims 1 to 4 and the search server,
It is a questionnaire survey system that centrally manages registration information of users who can use both a questionnaire survey service by the questionnaire survey device and a search service by the search server.

The invention according to claim 6 is a questionnaire survey method by a questionnaire survey apparatus that conducts a questionnaire survey for an unspecified number of users who own client terminals,
A questionnaire survey device acquires a search log recording a search request based on a keyword made to the search server from the client terminal by a user operation, and registers the acquired search log for each user;
A questionnaire survey device registering a unique user attribute for each user;
The questionnaire survey device compares the monitor extraction condition set for each questionnaire survey with the user attribute and the search log, and the user attribute and the search log include the user including the monitor extraction condition as a survey target. Extracting, and
The questionnaire survey device deletes items that can be answered by information included in at least one of the user attribute and the search log among items included in the questionnaire;
A step in which the questionnaire survey device requests a questionnaire survey to the extracted users;
The questionnaire survey device includes a step of counting the responses transmitted from the client terminal by a user's response operation.

The invention according to claim 7 is directed to a computer connected to a client terminal via a network.
Obtaining a search log recording a search request by a keyword made to the search server from the client terminal, and registering the acquired search log for each user;
Registering unique user attributes for each user;
Comparing the monitor extraction condition set for each questionnaire survey with the user attribute and the search log, and extracting a user whose monitor extraction condition is included in the user attribute and the search log as a survey target;
Deleting items that can be answered by information included in at least one of the user attribute and the search log among items included in the questionnaire;
Requesting a questionnaire survey for the extracted users;
And a step of aggregating answers transmitted from the client terminal by a user's answer operation.

  According to the present invention, the user to be surveyed is extracted using the user search log obtained by the search service. Therefore, the user to be surveyed is accurately extracted and effective. Surveys can be conducted.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
FIG. 1 is a schematic diagram showing a network configuration to which a questionnaire survey apparatus according to the present invention is applied.
In the present embodiment, a case where a questionnaire survey server 1 requests a user who owns the client terminal 2 via the network N and the user answers the questionnaire survey at the client terminal 2 is shown. That is, the questionnaire survey server 1 in this embodiment is a questionnaire survey apparatus according to the present invention.

  As shown in FIG. 1, a client terminal 2 and a search server 3 are connected to a questionnaire survey server 1 via a communication network N so that data communication with each other is possible. The communication network N is a telephone line network such as the Internet or a telecommunication carrier, a mobile phone communication network, or the like.

The questionnaire survey server 1 is, for example, a server that entrusts a questionnaire survey from a company that provides products or services, and performs a questionnaire survey on an unspecified number of users. In the questionnaire survey server 1, when extracting a user (hereinafter referred to as a monitor) to be surveyed, an appropriate user is extracted as a monitor by referring to the user search log provided from the search server 3. To be.
That is, since the keyword used by the user in the search service is considered to be related to an item that the user is currently interested in, the keyword is used when extracting a questionnaire survey monitor.

The client terminal 2 is, for example, a mobile terminal such as a personal computer 2a or a mobile phone 2b. In the search service provided by the search server 3, the client terminal 2 acquires a desired search result when the user transmits a keyword as a search key.
Further, when a user requests a questionnaire survey from the questionnaire survey server 1 by e-mail, for example, the user can access a questionnaire survey web page on a web browser and answer the questionnaire.

The search server 3 is a server that provides a search service such as a robot type search engine. In a robot type search engine, a search program circulates on the Internet and automatically collects web pages and registers the collected web pages in a database. That is, in the database of the search server 3, a plurality of web pages that match the keyword are registered for the keyword.
When the search server 3 receives a search request based on a keyword from the client terminal 2, the search server 3 extracts a web page that matches the keyword and presents the search result to the client terminal 2. At this time, the search request by keyword is stored as a search log, and this search log is provided to the questionnaire survey server 1.

In this embodiment, the questionnaire survey server 1 and the search server 3 are provided by the same service provider. That is, the questionnaire survey system 1 and the search server 3 constitute a questionnaire survey system according to the present invention. Registration information of users who can use both the questionnaire survey service by the questionnaire survey server 1 and the search service by the search server 3 is managed in an integrated manner. In the present embodiment, user registration information is managed by a user database 15 described later that the questionnaire survey server 1 has.
Thus, when a registered user who can use the questionnaire survey service by the questionnaire survey server 1 makes a search request by keyword to the search server 3, the search log at this time can be managed for each registered user. .

FIG. 2 is a block diagram showing an outline of the hardware configuration of the questionnaire survey server 1.
As shown in FIG. 2, the questionnaire survey server 1 is a general computer including a control unit 11, a storage unit (auxiliary storage) 12, an input / output unit 13, a communication unit 14, a user database 15, a questionnaire database 17, and the like. is there. Each block is electrically connected by a bus line 16.
Although illustration is omitted, the search server 3 has the same configuration as the questionnaire survey server 1 except for the user database 15 and the questionnaire database 17.

The control unit 11 includes a CPU (Central Processing Unit) 111 as an arithmetic / control device, a RAM (Random Access Memory) 112 and a ROM (Read Only Memory) 113 as a main storage device.
The ROM 113 stores a program called BIOS (Basic Input Output System) and basic setting data. The RAM 112 is loaded with programs such as an OS and various applications read from the storage unit 12.
The CPU 111 executes various processes in accordance with programs developed in the RAM 112 and controls each block.

The storage unit 12 includes, for example, a hard disk and stores an OS, various application programs (for example, a server program and a web application program), various data, and the like.
The input / output unit 13 constitutes a user interface for use by the administrator of the questionnaire survey server 1.
The communication unit 14 performs processing according to a communication protocol such as TCP / IP and transmits / receives data to / from the client terminal 2 and the search server 3 via the network N.

In the user database 15, information about users who can use the questionnaire survey service by the questionnaire survey server 1 and the search service by the search server 3 is registered.
In the questionnaire database 17, information related to the commissioned questionnaire survey is registered.

FIG. 3 is an explanatory diagram showing an example of the data configuration of the user database 15.
As shown in FIG. 3, in the user database 15, a user ID is assigned for each user, and a unique user attribute, search log, and questionnaire results are registered in association with each user. Although omitted in FIG. 3, the user's name, address, telephone number, e-mail address, etc. are also registered.

  Here, the user attribute includes basic information such as the user's sex, age, occupation, marital history, and information indicating the user's lifestyle. In FIG. 3, items that the user is interested in are illustrated as information indicating the user's lifestyle, but the user's hobbies and special skills can also be used. These user attributes are registered in advance when the user uses the questionnaire survey service. Basic information is uniquely determined for the user, and information indicating the lifestyle is arbitrarily set for each user.

The search log includes a keyword when the user makes a search request to the search server 3. Although not shown, the search date and time is associated with the keyword, and the keyword used in the search within a predetermined period (for example, the last two weeks) can be determined.
This search log is referred to together with user attributes when extracting a questionnaire survey monitor. As keywords, the keywords used in the search can be registered as they are, but only the keywords of nouns (especially proper nouns such as product names and service names) that are useful for questionnaire survey monitoring extraction should be registered. May be.
In the questionnaire results, the ID of the questionnaire survey already answered by the user is registered. This questionnaire result is used to give points to users who answered the questionnaire and to eliminate duplicate answers from the same user.

  In FIG. 3, for example, the user “A123” is gender “male”, age “25 years old”, occupation “company employee”, marriage history “married”, and is interested in “travel, book, car,. It shows that you have. In addition, a search with the keywords “△△ car” (car name made by company A) and “XX beer” (name of beverage made by company B), and the questionnaires with questionnaire IDs “# 1, # 3” Indicates that the answer has been given.

FIG. 4 is an explanatory diagram showing an example of the data structure of the questionnaire database 17.
As shown in FIG. 4, in the questionnaire database 17, a questionnaire ID (# 1 to # 3,...) Is assigned to each questionnaire, and the contents of the questionnaire (questions 1 to 4,. Is registered.
The monitor extraction condition is a condition for extracting a user who should be the subject of this questionnaire survey, and is set corresponding to a part or all of the user attributes described above.
In FIG. 4, the age “20 years or older” and the interest “car” are set as the monitor extraction condition, and therefore, among the users registered in the user database 15, the age is 20 years or older and “car” is selected. Users who are interested (for example, users “A123” and “B456” in FIG. 3) are extracted as monitors. Furthermore, in the present embodiment, the monitors are narrowed down based on the keywords registered in the search log.
Although not shown, the questionnaire database 17 stores the answers for each user transmitted from the client terminal 2 for each questionnaire.

The questionnaire survey server 1 has the above-described configuration. The CPU 111 of the questionnaire survey server 1 requests the user for a questionnaire survey by executing the server software. For example, when a questionnaire survey is entrusted by a manufacturer of products or the like, a user to be surveyed is extracted, and an e-mail requesting the questionnaire survey is transmitted to the e-mail address of the extracted user.
Further, by executing the server software and the web application, processing corresponding to the user operation on the web browser of the client terminal 2 is performed. For example, when the user logs in to the questionnaire survey service on the web browser of the client terminal 2, the contents of the questionnaire (question) are presented, the screen presented according to the user's answer operation is changed, and the answer result is received. Then, the answers transmitted from the client terminal 2 are aggregated and the questionnaire result is analyzed.

The client terminal 2 is a general personal computer including a control unit, a storage unit, an input unit, a display unit, a communication unit, and the like.
The client terminal 2 receives an e-mail transmitted from the questionnaire survey server 1 by e-mail software, for example. When the user clicks the link to the questionnaire survey service described in the mail body, the user requests the designated survey web page for the specified web page. And the HTML file (for example, questionnaire survey service screen) transmitted from the questionnaire survey server 1 is analyzed, and a web page is displayed on the web browser. Further, when the user performs an answer operation on the questionnaire survey service screen, this answer is transmitted to the questionnaire survey server 1.
Further, when the user inputs the URL of the search service on the activated web browser, the search server 3 is requested for the web page specified by this URL. When a search key (query) such as a keyword is input, a search request using this search key is made to the search server 3. When a search result is presented by the search server 3, a search result screen including the search result is displayed.

FIG. 5 is a flowchart showing a processing procedure in the search server 3, the client terminal 2, and the questionnaire survey server 1 when performing a search using a keyword in the client terminal 2. The processing procedure shown in FIG. 5 is started, for example, when a web browser is activated in the client terminal 2 and a search service provided by the search server 3 is accessed.
It is assumed that the user of the client terminal 2 is a registered user who can use the search service and the questionnaire survey service, and inputs a user ID when using the search service and logs in to the service.

  In step S101, the search server 3 transmits an HTML file of the search service screen. A control program (for example, JAVA (registered trademark) program) for transmitting a keyword as a search key based on a user operation is embedded in the HTML file.

  In step S102, the web browser of the client terminal 2 analyzes the HTML file, whereby the search service screen is displayed on the display unit 24. The user obtains information on a desired web page (including title, excerpted text, URL, etc.) by inputting a keyword into the search window arranged in the search service screen and instructing the search. Can do.

In step S103, when a keyword is input by a user operation and a search request is instructed on the search service screen, a search request using this keyword as a search key is transmitted to the search server 3.
In step S <b> 104, the search server 3 transmits the user ID of the user who made the search request and the search log (including the keyword and the search date) to the questionnaire survey server 1.
In step S105, in the questionnaire survey server 1, the search log transmitted from the search server 3 is registered in the user database 15, and the user information is updated.

In step S <b> 106, the search server 3 performs a search using the keyword transmitted from the client terminal 2, and extracts web page information that matches the keyword from the database of the search server 3.
In step S107, the extracted web page information is transmitted to the client terminal 2 as a search result.
In step S <b> 108, the HTML file of the search result screen transmitted from the search server 3 is analyzed in the client terminal 2, and the search result screen is displayed on the display unit 24.

As described above, the search log in the user database 15 of the questionnaire survey server 1 is registered by the process of step S105 shown in FIG.
For example, when the keyword “ΔΔ car” is input by the user “A123” and a search instruction is issued, a search request is made to the search server 3 using the keyword “ΔΔ car” as a search key, and the user database 15 The keyword “△△ car” is registered in the search log field (see FIG. 3).

FIG. 6 is a flowchart showing a processing procedure in the questionnaire survey server 1 and the client terminal 2 when the questionnaire survey server 1 conducts the questionnaire survey.
In the following description, it is assumed that the user database 15 of the questionnaire survey server 1 has the data configuration shown in FIG. 3, and the questionnaire database 17 has the data configuration shown in FIG.

In step S201, the questionnaire survey server 1 accepts, for example, a questionnaire survey from a manufacturer of products. The questionnaire entrusting method includes a method of electronically via a network, but is not particularly limited.
In step S202, the contents of the entrusted questionnaire (question and monitor extraction condition) are registered in the questionnaire database 17. At this time, the contents of the registered questionnaire may be generated by the questionnaire survey server 1 in accordance with an instruction from the commissioner of the questionnaire survey, or may be used as it is generated by the commissioner. . A plurality of questions may be prepared according to user attributes (for example, gender).

In step S203, by comparing the user attribute registered in the user database 15 with the monitor extraction condition of the registered questionnaire, users who satisfy the monitor extraction condition are extracted.
For example, when the questionnaire “# 1” shown in FIG. 4 is executed, the age “20 or more” and the interest “car” are set as the monitor extraction condition. Therefore, among the users shown in FIG. “B456” is extracted as a monitor.

In step S204, for the user extracted in step S203, the search log registered in the user database 15 is compared with the monitor extraction condition of the registered questionnaire, so that the user whose search log satisfies the monitor extraction condition is compared. Narrow down. Specifically, it is determined whether or not the search log satisfies the monitor extraction condition based on whether or not the search log includes a keyword recalled from the monitor extraction condition.
At this time, it is desirable to extract users to be investigated based on a search log whose search date and time is within a predetermined period (for example, within two weeks) among the search logs registered in the user database 15. This is because the latest search log is considered to be related to an item that the user is currently interested in.

Here, the keyword recalled from the monitor extraction condition is, for example, a keyword recalled from an item indicating the user's interest. For example, if the item indicating the user's interest is “car”, a specific car manufacturer name, car name, and the like correspond to the keywords “car” and “car”.
In the questionnaire survey server 1, the process of step S <b> 204 can be realized by registering in advance the keyword recalled from this item for the item indicating the user's interest.

For example, when the questionnaire “# 1” shown in FIG. 4 is executed, the interest “car” is set as the monitor extraction condition. Therefore, the user “having the keyword recalled from this“ car ”as the search log A123 "is extracted as a monitor. That is, since the search log of the user “A123” has registered the vehicle name “ΔΔ car” manufactured by the company A, the monitor extraction condition is satisfied.
On the other hand, since the keyword recalled from “car” is not registered in the search log of user “B456”, “car” is registered as an item indicating interest, but recently, “car” is much more interesting. It is presumed that the user is not present and is excluded from the monitor.
In FIG. 3, only two users are shown for simplicity of explanation, but the processing of steps S203 and 204 is also performed for other registered users, and monitor extraction is performed for both user attributes and search logs. Users who satisfy the conditions are extracted as monitors.

In step S205, a questionnaire is generated for each extracted user. Specifically, when a plurality of questions constituting a questionnaire are prepared according to user attributes (for example, gender), questions are appropriately selected based on the user attributes and organized for each user. Further, when there is a question that can be answered by information included in the user attribute or the search log, a questionnaire in which the question item is omitted (automatically answered) is generated.
When the user logs in to the questionnaire survey service, a questionnaire corresponding to the user is presented. As a result, the number of question items that are actually answered by the monitor that has received the request for the questionnaire survey can be reduced, so that the answering operation is simplified.

  In step S206, an e-mail requesting a questionnaire survey is transmitted to the e-mail address of the extracted user. In the e-mail body, for example, a link to a questionnaire survey service is described. The user can answer the questionnaire by accessing the web page of the designated questionnaire survey service, inputting the user ID, and logging in.

  In step S207, the client terminal 2 accepts an answer operation by the user, and the answer result is transmitted to the questionnaire survey server 1. For example, when a user logs in to a questionnaire survey service on the web browser of the client terminal 2, the contents (questions) of the questionnaire are presented. In this questionnaire survey service, the screen to be presented is changed according to the user's reply operation, and the reply result is transmitted.

In step S208, the answers transmitted from the client terminal 2 are totaled and the questionnaire result is analyzed. The analyzed questionnaire result is provided to the commissioner of the questionnaire survey.
Specifically, the answer transmitted from the client terminal 2 is determined as to which user the answer is based on the user ID, and stored in the questionnaire database 17 for each user. At this time, user information obtained from the user attribute and the search log is added to the response content (adding means), and a specific user to be analyzed can be selected by this user information.

FIG. 7 is an explanatory diagram showing a configuration example of information stored in the questionnaire database 17.
FIG. 7 shows a case where the user “A123” shown in FIG. As shown in FIG. 7, the user information (user attribute and search log) of the user “A123” is added to the response content and stored in the questionnaire database 17.
As shown in FIG. 7, only items related to the questionnaire, that is, items that match the monitor extraction conditions for each questionnaire are added to the response content (in this case, items related to the car). By doing this, it becomes easier to grasp the user's characteristics (especially recently interesting items) at a glance, which cannot be understood only from the user's response results, and the questionnaire analysis using the added items as described later. It becomes easy. Further, it is possible to classify users in detail using this user characteristic and distribute information such as targeted advertisements for each classification, which is extremely useful.

FIG. 8 is an explanatory diagram illustrating an example of a questionnaire result. FIG. 8 shows the result (total monitor) of the answers to the question “Which point is important when purchasing a car?”. The entire monitor shows that “design” and “price” are important when buying a car.
In general, the answers are aggregated and analyzed according to user attributes (eg, gender, age, etc., see FIG. 7) included in the user information. Thereby, the tendency according to a user attribute can be known from the same question. For example, the result may be that younger users (specific users) place the highest priority on “design”, while older users (specific users) place importance on “ease of driving”. .

In the present embodiment, by further using the keywords included in the search log, the answers are totaled for each user having the search log with the same content, and the questionnaire result is analyzed. In other words, in the search log included in the user information, a user having a keyword with the same content is set as a specific user, and the answers of the specific user are totaled and analyzed.
As shown in FIG. 3, when the search log includes a “ΔΔ car” manufactured by A company, it is possible to derive a tendency of users who are interested in the “ΔΔ car” manufactured by A company. In addition, if the answers of users whose vehicle type of the same body type as the “△△ car” manufactured by Company A is registered in the search log, users who are interested in the same vehicle type of body type (for example, sedan type) This tendency can also be derived. That is, the same content keyword includes not only the same keyword but also a keyword classified into the same category when classified by a certain index.

FIG. 9 is an explanatory diagram showing another example of a questionnaire result. FIG. 9 shows the result of aggregating answers to the question “Which points are important when purchasing a car?” (Users interested in sedan-type vehicle types).
As shown in FIG. 9, when the users who are interested in the sedan type vehicle are tabulated, the total results of the monitor that “price”, “ease of driving”, and “fuel consumption” are emphasized and “design” is not so important (See FIG. 8).

Conventionally, in order to perform such an analysis, it has been necessary to provide a question such as “Please select the car model you are interested in (owned)” in the questionnaire.
On the other hand, in the questionnaire survey device 1 of the present embodiment, by using a search log that accurately reflects the user's psychology, deeper and more accurate analysis of the questionnaire results without having to answer the question. Therefore, it becomes a more effective questionnaire survey for the contractor. That is, it is possible to obtain an analysis result from a new point of view that is not understood only from the total result analyzed based on the total result of the monitor and the user attributes (for example, sex and age).
Moreover, since the number of questions to be answered by the monitor can be reduced, the burden on the questionnaire survey can be reduced. Therefore, since it is an effective questionnaire even for a monitor that attempts to answer only a questionnaire with a small number of questions, the denominator becomes larger and the accuracy of the questionnaire results is improved.

As described above, the questionnaire survey server 1 as the questionnaire survey device acquires a search log in which a search request by a keyword made to the search server 3 from the client terminal 2 by a user operation is acquired, and the acquired search log is Search log registration means (step S105 in FIG. 5, user database 15) for registering each user is provided.
Further, a user attribute registration means (user database 15) for registering a unique user attribute for each user, and a survey target from among registered users based on a search log and user attributes according to the contents of a questionnaire survey Monitor extraction means for extracting users (steps S203 and S204 in FIG. 6), questionnaire request means for requesting a questionnaire survey for the extracted users (step S206 in FIG. 6), and a questionnaire survey were requested Questionnaire counting means (step S208 in FIG. 6) for counting the answers transmitted from the client terminal 2 by the user's answering operation.

As a result, the information about the user (search log) obtained by the search service is used to extract the users to be surveyed. Therefore, the users to be surveyed are accurately extracted and effective. Surveys can be conducted.
That is, even if the user registers false information as a user attribute (for example, an item of interest), only a user to be investigated (a user who is really interested) is extracted as a monitor based on the search log. be able to.
Accordingly, since the results collected by the questionnaire survey reflect the responses of the monitor that should be the subject of the survey, the commissioner of the questionnaire survey can effectively use the questionnaire results in future policies.
Moreover, since the user who is the object of the questionnaire survey can be extracted based on the user attributes registered in advance, it is not necessary to conduct a preliminary survey based on gender, age, etc., and the questionnaire survey can be performed efficiently.

  Further, in steps S203 and S204 of FIG. 6, the monitor extraction conditions (including keywords recalled from the monitor extraction conditions) set for each questionnaire survey are compared with the user attributes and the search log, and the user attributes and search are compared. Users whose monitor extraction conditions are included in the log are extracted as survey targets. Thereby, the user who should be made into an investigation object can be extracted easily.

Further, in step S208 of FIG. 6, user information obtained from the user attribute and the search log is added to the reply transmitted from the client terminal 2 (addition means). And based on this user information, the specific user made into analysis object is selected, and this specific user's answer is totaled and analyzed.
In particular, a search log included in the user information is a user having a keyword having the same content as a specific user, and the answers of the specific user are totaled and analyzed.
As a result, a deeper analysis of the questionnaire results becomes possible, which is a more effective questionnaire survey for the contractor.

The search log also includes the search date and time when the search request was made. In step S204 in FIG. 6, the search target user is extracted from the search logs registered in the user database 15 based on the search log whose search date and time is within a predetermined period.
Thereby, since monitor extraction is performed by the latest search log considered to be related to an item that the user is currently interested in, it is possible to extract a user to be investigated more accurately.

In addition, the questionnaire survey server 1 includes a questionnaire generation unit that generates a questionnaire based on the search log and user attributes for each user who requests a questionnaire survey (step S205 in FIG. 6).
Furthermore, in step S205 of FIG. 6, question items that can be answered by keywords included in the search log are omitted.
This can reduce the number of question items that the user who has received the questionnaire survey request actually answers, thereby simplifying the user's response operation. Therefore, it can be prevented that the user gives up the answer due to too many questions, and the number of effective answers cannot be obtained.

As mentioned above, although the invention made by this inventor was concretely demonstrated based on embodiment, this invention is not limited to the said embodiment, It can change in the range which does not deviate from the summary.
In the above embodiment, all registered users who can use the questionnaire survey service perform monitor extraction based on the search log. For example, it is estimated that items of interest are registered indiscriminately. Only a part of such users (users who select all items) may be subjected to monitor extraction based on the search log.
This makes it possible to effectively use user attributes registered in advance for monitor extraction and to prevent the questionnaire survey population from becoming too small.

In the above embodiment, the user is made to answer in the questionnaire survey service provided by the web page. However, the user may be made to reply in the form of replying to an email requesting the questionnaire survey. In this case, the content (question) of the questionnaire generated for each user is described in the body of the e-mail transmitted from the questionnaire survey server 1 to the user.
Further, the present invention is useful when extracting a questionnaire survey monitor, but is also considered to be applicable to extracting a monitor for listening to opinions by actually using a product or service for a certain period of time. .

  The embodiment disclosed this time should be considered as illustrative in all points and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

It is the schematic shown about the network structure of the goods search system 100 which concerns on this embodiment. It is a block diagram which shows the outline of the hardware constitutions of the questionnaire survey server. It is explanatory drawing which shows an example of a data structure of the user database. It is explanatory drawing which shows an example of a data structure of the questionnaire database. 4 is a flowchart illustrating a processing procedure when a search is performed using a keyword in the client terminal 2. It is a flowchart shown about the process sequence when the questionnaire survey server 1 implements a questionnaire survey. It is explanatory drawing which shows the structural example of the information stored in the questionnaire database. It is explanatory drawing which shows an example of a questionnaire result. It is explanatory drawing which shows another example of a questionnaire result.

Explanation of symbols

1 Questionnaire survey server (questionnaire survey device)
2 Client terminal 3 Search server N Communication network

Claims (7)

A questionnaire survey device that transmits a questionnaire to a client terminal via a network and conducts a questionnaire survey,
A search log registration unit that acquires a search log in which a search request by a keyword made to the search server from the client terminal is recorded, and registers the acquired search log for each user;
User attribute registration means for registering a unique user attribute for each user,
Monitor extraction means for comparing a monitor extraction condition set for each questionnaire survey with the user attribute and the search log, and extracting a user whose monitor attribute is included in the user attribute and the search log as a survey target When,
Simplifying means for deleting items that can be answered by information included in at least one of the user attribute and the search log among items included in the questionnaire;
Questionnaire counting means for counting the answers transmitted from the client terminal by the user's answering operation;
A questionnaire survey device characterized by comprising:   The questionnaire survey device according to claim 1, further comprising an adding unit that adds user attributes that match the monitor extraction condition for each questionnaire and user information obtained from the search log to the response transmitted from the client terminal. .   The questionnaire counting means selects a user having the same keyword as a specific user to be analyzed in a search log included in the user information, and totals and analyzes the response of the specific user. The questionnaire survey device according to claim 2, wherein The search log includes the search date and time when the search request was made,
The said monitor extraction means extracts the user made into investigation object based on the search log from which the search date is within a predetermined period among the search logs registered into the said search log registration means. The questionnaire survey device according to any one of 1 to 3. It comprises the questionnaire survey device according to any one of claims 1 to 4 and the search server,
A questionnaire survey system that centrally manages registration information of users who can use both a questionnaire survey service by the questionnaire survey device and a search service by the search server. A questionnaire survey method by a questionnaire survey apparatus for conducting a questionnaire survey for an unspecified number of users who own client terminals,
A questionnaire survey device acquires a search log recording a search request based on a keyword made to the search server from the client terminal by a user operation, and registers the acquired search log for each user;
A questionnaire survey device registering a unique user attribute for each user;
The questionnaire survey device compares the monitor extraction condition set for each questionnaire survey with the user attribute and the search log, and the user attribute and the search log include the user including the monitor extraction condition as a survey target. Extracting, and
The questionnaire survey device deletes items that can be answered by information included in at least one of the user attribute and the search log among items included in the questionnaire;
A step in which the questionnaire survey device requests a questionnaire survey to the extracted users;
A step in which the questionnaire survey device counts the responses transmitted from the client terminal by the user's response operation;
A questionnaire survey method characterized by comprising: To a computer connected to a client terminal via a network,
Obtaining a search log recording a search request by a keyword made to the search server from the client terminal, and registering the acquired search log for each user;
Registering unique user attributes for each user;
Comparing the monitor extraction condition set for each questionnaire survey with the user attribute and the search log, and extracting a user whose monitor extraction condition is included in the user attribute and the search log as a survey target;
Deleting items that can be answered by information included in at least one of the user attribute and the search log among items included in the questionnaire;
Requesting a questionnaire survey for the extracted users;
Totaling responses transmitted from the client terminal by a user's response operation;
A program to realize

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