JP2022191864A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

To provide keywords associated with users of a desired attribute.SOLUTION: An information processing device according to the present application comprises an acquisition unit, a generation unit, and a provision unit. The acquisition unit acquires keywords associated with candidate users from search history and action history of the candidate users. The generation unit generates candidate word information indicating the positioning of the keywords acquired by the acquisition unit in the form of given evaluation elements. The provision unit provides a service user with the candidate word information generated by the generation unit as recommendation information that can be referred to when specifying conditions for narrowing down the candidate users.SELECTED DRAWING: Figure 7

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

Conventionally, a service for extracting queries related to a search query has been provided as an ancillary service of a search service that provides search results based on a search query. Techniques for extracting a wider variety of search queries when extracting search queries that are strongly related to the input search query have been proposed for such services.

JP 2017-224022 A

However, it is difficult for the conventional technology to propose a keyword associated with a user having a desired attribute.

The present application has been made in view of the above, and an object thereof is to provide an information processing apparatus, an information processing method, and an information processing program capable of proposing a keyword associated with a user having a desired attribute.

An information processing apparatus according to the present application includes an acquisition unit, a generation unit, and a provision unit. The acquisition unit acquires a keyword associated with the candidate user from the candidate user's search history and action history. The generation unit generates candidate word information in which the positioning of the keyword acquired by the acquisition unit is specified using predetermined evaluation elements. The provision unit provides the service user with the candidate word information generated by the generation unit as recommendation information that can be referred to when specifying conditions for narrowing down the candidate users.

According to one aspect of the embodiment, it is possible to propose a keyword associated with a user having a desired attribute.

FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. FIG. 2 is a diagram illustrating an example of provision of recommendation information according to the embodiment. FIG. 3 is a diagram illustrating an example of provision of recommendation information according to the embodiment. FIG. 4 is a diagram illustrating an example of provision of recommendation information according to the embodiment. FIG. 5 is a diagram illustrating an example of provision of recommendation information according to the embodiment. FIG. 6 is a diagram illustrating an example of provision of recommendation information according to the embodiment. FIG. 7 is a diagram illustrating a configuration example of an information processing apparatus according to the embodiment; 8 is a flowchart illustrating an example of a processing procedure performed by the information processing apparatus according to the embodiment; FIG. FIG. 9 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus according to the embodiment.

Hereinafter, modes for implementing an information processing apparatus, an information processing method, and an information processing program (hereinafter referred to as "embodiments") according to the present application will be described in detail with reference to the drawings. The information processing apparatus, information processing method, and information processing program according to the present application are not limited to the embodiments described below. Further, the embodiments described below can be appropriately combined within a range that does not contradict the processing contents. Also, in the embodiments described below, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

[1. Overview of information processing]
Hereinafter, an example of information processing realized by the information processing apparatus according to the embodiment will be described with reference to the drawings. FIG. 1 is a diagram illustrating an example of information processing according to an embodiment.

As shown in FIG. 1 , an information processing system 1 according to the embodiment has a terminal device 10 and an information processing device 100 . In addition, the information processing system 1 is not limited to the example shown in FIG. Further, the information processing device 100 is not limited to the example described below, and can execute the information processing described below in parallel for any number of terminal devices 10 .

The terminal device 10 and the information processing device 100 are each connected to a network N (see FIG. 7) by wire or wirelessly. The network N is a communication network such as a LAN (Local Area Network), a WAN (Wide Area Network), a telephone network (mobile telephone network, fixed telephone network, etc.), a local IP (Internet Protocol) network, or the Internet. . The network N may include a wired network or a wireless network. The terminal device 10 and the information processing device 100 can communicate with each other through the network N. FIG.

The terminal device 10 is an information processing device used by the service user U to use the service provided by the information processing device 100 . The terminal device 10 is implemented by a smart phone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like.

The terminal device 10 can display information for using various services provided by the information processing device 100 using a web browser or an application. When the terminal device 10 receives control information for implementing information display processing from the information processing device 100 or the like, the terminal device 10 implements the display processing according to the control information.

The information processing device 100 is an information processing device that executes information processing according to the embodiment. The information processing device 100 is implemented by a server device, a cloud system, or the like. The information processing device 100 may function as a distribution device that distributes control information to the terminal device 10 used by the service user U. Here, the control information is described, for example, in a script language such as JavaScript (registered trademark) or a style sheet language such as CSS (Cascading Style Sheets). Note that the application itself distributed from the information processing apparatus 100 may be regarded as control information.

For example, the information processing device 100 can provide service users U with various services on the Internet. The services provided by the information processing device 100 include a search engine site, a news site, a technical explanation site, a shopping site, a finance site (stock price site), a route search site, a map providing site, a travel site, and so on. , restaurant introduction sites, various services provided through web pages related to web blogs, etc. are included. The information processing device 100 also includes various applications installed in the terminal device 10 (for example, a portal application, a news application, an auction application, a weather forecast application, a shopping application, a finance (stock price) application, a route search application, a map providing application, It can provide information to be displayed in travel apps, restaurant introduction apps, blog browsing apps, etc.).

In addition, the information processing apparatus 100 can acquire information on search words input by the service user U through the provision of the various services described above. In addition, the information processing apparatus 100 can store the acquired search word information as a search history (search log). In addition, the information processing apparatus 100 can be used to determine user attributes (for example, demographic attributes such as age, gender, region, etc., usage history of online contents of various services, etc.) based on the operation, browsing, etc. of the service user U in various services. psychographic attributes estimated based on the information) and the action history of the service user U in various services can be collected and stored in association with the user ID.

As one of the services provided, the information processing apparatus 100 can provide the service user U with a desk research tool for use in marketing activities. The desk research tool provided by the information processing apparatus 100 acquires information on candidate users who can be target users according to, for example, narrowing down conditions arbitrarily set by the service user U, and provides the service user U with the information. By referring to the information provided by the desk research tool, the service user U can infer the interests of the candidate users who have the desired attributes, and use them to select target users.

By the way, for the service user U, so-called demographic attributes such as the target user's age, gender, and region, and psychographic attributes indicating the target user's hobbies and preferences are conditions that can be set relatively easily. However, it is not necessarily an easy task to effectively select keywords to be set as narrowing-down conditions for further narrowing down candidate users having desired attributes. To give a specific example, it is extremely difficult to analogize appropriate words as search words used by users who are single men in their 20s and have an annual income of 6 million yen or more, and set them as narrowing-down conditions.

Therefore, as described below, the information processing apparatus 100 according to the embodiment executes information processing for proposing keywords associated with users having desired attributes.

For example, as shown in FIG. 1, when receiving a recommendation request from the terminal device 10, the information processing apparatus 100 acquires a keyword associated with the candidate user from the candidate user's search history and action history (step S1).

Next, the information processing apparatus 100 generates candidate word information that specifies the positioning of the acquired keyword using predetermined evaluation elements (step S2).

Then, the information processing apparatus 100 provides the service user U with the generated candidate word information as recommendation information that can be referred to when specifying conditions for narrowing down the candidate users (step S3).

An example of providing recommendation information according to the embodiment will be described with reference to FIGS. 2 to 6. FIG. 2 to 6 are diagrams showing examples of provision of recommendation information according to the embodiment.

FIG. 2 shows an example of provision of recommendation information for candidate users who match demographic attributes.

As shown in FIG. 2, the terminal device 10 executes the desk research tool provided from the information processing device 100, thereby performing the target setting shown in FIG. 2 as one of the user interfaces for using the desk research tool. Display window W-1. The target setting window W-1 accepts setting of narrowing-down conditions for narrowing down candidate users who can be target users from the service user U. FIG. In the example shown in FIG. 2, the target setting window W-1 has a plurality of items for setting narrowing conditions such as "age", "gender", "annual income", and "search keyword". ing. Note that the target setting window W-1 shown in FIG. 2 is an example, and is not limited to the example shown in FIG. 2, and may include more items than the example shown in FIG.

The “age” field contains age conditions for narrowing down candidate users. The “gender” item contains a gender condition for narrowing down the candidate users. An annual income condition for narrowing down candidate users is set in the “annual income” setting item. An arbitrary keyword for narrowing down the candidate users is set in the item of "search keyword". In the example shown in FIG. 2, the terminal device 10 accepts "twenties (age)", "male (gender)", and "from 6 million yen (annual income)" set by the service user U as the narrowing-down conditions. ing.

In the example shown in FIG. 2, an icon OB-1 for displaying recommendation information is provided adjacent to the item "search keyword". The service user U can display recommended information provided from the information processing apparatus 100 by operating the icon OB-1.

The terminal device 10 transmits a recommendation request to the information processing device 100 by detecting the operation of the icon OB-1. When the terminal device 10 detects the operation of the icon OB-1, the terminal device 10 transmits to the information processing device 100 a recommendation request including the narrowing conditions set in the target setting window W-1. In the example shown in FIG. 2, the recommendation request transmitted from the terminal device 10 to the information processing device 100 includes age: "twenties" + sex: "male" + annual income: "from 6 million yen (or more)". This will include the narrowing down conditions.

Further, as shown in FIG. 2, the terminal device 10 displays recommendation information provided from the information processing device 100 in a recommendation window W-2. The recommendation information functions as information that the service user U can refer to as necessary when specifying it as a condition for narrowing down the candidate users. As shown in FIG. 2, the recommendation information includes information on the narrowing-down condition specified by the service user U (“twenties+male+annual income of 6 million yen or more”) and candidate word information.

A plurality of candidate words included in the candidate word information are keywords associated with candidate users who match the narrowing conditions set by the service user U, and correspond to, for example, search words included in the candidate user's search history. . Candidate word information is information that clearly indicates the positioning of keywords associated with candidate users using predetermined evaluation elements. For example, from the candidate words included in the recommendation information, the service user U can infer the interests of the candidate users who match the demographic attributes set as the narrowing-down conditions. Further, the service user U can select any candidate word from a plurality of candidate words and use it as a search keyword for further segmenting the user segment corresponding to the candidate user. That is, the service user U sets a word arbitrarily selected from the candidate words included in the recommendation information in the "search keyword" item of the target setting window W-1, thereby identifying the interest of the candidate user who can be the target user. Interest can be analyzed in detail on a segment-by-segment basis.

In addition, as shown in FIG. 2, the recommendation information uses the volume of keywords recommended as candidate words (the number of searches, the number of hits, etc.) and the degree of relevance between keywords and candidate users to clearly indicate the position of keywords. provided by the graphical information (scatterplot). By visualizing and providing the recommendation information in this manner, it is possible to encourage the service user U to intuitively understand the positioning of the candidate words.

In addition, as shown in FIG. 2, the recommendation information is provided in the form of graph information that clearly indicates the position of each keyword, so that the service user U can easily recognize the keyword for analogizing the interest of the candidate user. be able to. For example, in the recommendation information shown in FIG. 2, a keyword whose volume is relatively smaller than that of other keywords and whose degree of relevance is relatively larger than that of other keywords is a potential user group or early adopter among candidate users. There is a possibility that it is a keyword associated with (early hires). As a result, the service user U can obtain clues for dividing user segments corresponding to candidate users into potential user groups and early adopters (early adopters). In addition, using the degree of relevance corresponding to each keyword displayed in the graph as a guide, it is possible to easily divide the candidate users who match the narrowing-down conditions into user segments having the degree of relevance desired by the service user U.

Also, FIG. 3 shows an example of provision of recommendation information for candidate users who match demographic attributes and search keywords. In the example shown in FIG. 3, the terminal device 10, in addition to "twenties (age)", "male (gender)", and "from 6 million yen (annual income)" set as the narrowing down conditions by the service user U , "word X (search keyword)".

When the terminal device 10 detects the operation of the icon OB-1, the terminal device 10 transmits to the information processing device 100 a recommendation request including the narrowing conditions set in the target setting window W-1. In the example shown in FIG. 3, the recommendation request transmitted from the terminal device 10 to the information processing device 100 includes age: “twenties” + sex: “male” + annual income: “from 6 million yen (or more)” + “word X (search keyword)” will be included.

Further, as shown in FIG. 3, the terminal device 10 displays the recommendation information provided from the information processing device 100 in the recommendation window W-2. The recommendation information includes narrowing condition information (“twenties+male+annual income of 6 million yen++word X”) corresponding to the recommendation information and information of a plurality of keywords (candidate word information). Thereby, the service user U can infer the interest of the candidate user who matches the demographic attribute and matches the arbitrarily set search keyword from the keywords included in the recommendation information.

Also, FIG. 4 shows an example of provision of recommendation information for candidate users who match demographic attributes and URLs (Uniform Resource Locators) set as search keywords. As shown in FIG. 4, the target setting window W-1 can accept a setting of a URL instead of a search keyword as a refinement condition. In the example shown in FIG. 4, the terminal device 10, in addition to "twenties (age)", "male (gender)", and "from 6 million yen (annual income)" set as the narrowing down conditions by the service user U , "https://www.ex.co.jp (URL)" is accepted.

Further, as shown in FIG. 4, the terminal device 10 displays the recommendation information provided from the information processing device 100 in the recommendation window W-2. The recommendation information displayed in the recommendation window W-2 includes information on the narrowing conditions corresponding to the recommendation information (“20s + male + annual income of 6 million yen ~ + https://www.ex.co.jp”), Information of multiple keywords (candidate word information) is included. As a result, the service user U can infer not only the demographic attribute but also the interest of the candidate user associated with the arbitrarily set URL from the keywords included in the recommendation information.

Further, as shown in FIG. 5, the recommendation window W-2 provides a keyword selected by the service user U from among a plurality of keywords in a state that the service user U can comprehend. In the example shown in FIG. 5, an icon OB-2 corresponding to "word F" and an icon corresponding to "word G" selected by the service user U from among the keywords displayed in the recommendation window W-2. OB-3 is displayed in the selection content column.

Note that the icon OB-2 and the icon OB-3 shown in FIG. 5 may be configured so that the selection can be canceled by the service user U's operation. Further, as shown in FIG. 5, the display mode of candidate words selected by the service user U from among the keywords displayed in the recommendation window W-2 may be changed.

Also, as shown in FIG. 6, the recommendation window W-2 may be configured in such a manner that it is possible to receive collective selection of a plurality of keywords. For example, as shown in FIG. 6, the service user U can request collective selection of keywords by performing a range specifying operation for the area where the keywords are displayed in the recommendation window W-2.

The recommendation window W-2 displays a pop-up window W-3 for inquiring of the service user U whether or not to collectively select the keywords included in the specified range when receiving the range specification from the service user U. .

A pop-up window W-3 displays a message asking the service user U whether or not to collectively select candidate words. The pop-up window W-3 is also provided with a button BT-1 operated when confirming the request for collective selection and a button BT-2 operated when canceling the request for collective selection.

For example, when an operation on the button BT-1 is detected in the pop-up window W-3, the recommendation window W-2 accepts range designation from the service user U, and responds to each keyword included in the designated range. The icon OB to be selected is displayed in the selection content column. In the example shown in FIG. 6, an icon OB-4 corresponding to "word L", an icon OB-5 corresponding to "word M", and an icon corresponding to "word O" collectively selected by the service user U are shown. OB-6 is displayed in the selection content column.

In this way, the information processing apparatus 100 can propose to the service user U a keyword associated with a user having a desired attribute. That is, the information processing apparatus 100 proposes a keyword that can be set as a narrowing condition for further narrowing down the candidate users having the desired attribute, thereby further narrowing down the candidate users having the desired attribute. settings can be supported.

[2. Configuration of information processing device]
The configuration of the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 7 is a diagram illustrating a configuration example of an information processing apparatus according to the embodiment;

As shown in FIG. 7, the information processing apparatus 100 includes a communication section 110, a storage section 120, and a control section . Note that FIG. 7 shows a configuration example of the information processing apparatus 100, and is not limited to the form shown in FIG.

(Communication unit 110)
The communication unit 110 is connected to the network N by wire or wirelessly, for example, and transmits and receives information to and from another device such as the terminal device 10 via the network N. The communication unit 110 is implemented by, for example, a NIC (Network Interface Card), an antenna, or the like. The network N is a communication network such as a LAN (Local Area Network), a WAN (Wide Area Network), a telephone network (mobile telephone network, fixed telephone network, etc.), a regional IP (Internet Protocol) network, or the Internet. . The network N may include wired networks or wireless networks.

The communication unit 110 receives a recommendation request from the terminal device 10 . Also, the communication unit 110 transmits recommendation information to the terminal device 10 .

(storage unit 120)
The storage unit 120 is realized by, for example, a RAM (Random Access Memory), a semiconductor memory device such as a flash memory, or a storage device such as a hard disk or an optical disk. Storage unit 120 stores programs and data for realizing information processing executed by each unit of control unit 130 .

As shown in FIG. 7 , the storage unit 120 has a search history storage unit 121 and an action history storage unit 122 .

(Search history storage unit 121)
The search history storage unit 121 stores the service user's search history in association with identification information (eg, user ID) for specifying the service user (eg, service user U). The search history stored in the search history storage unit 121 includes search word information entered by the service user through the search engine site.

(Action history storage unit 122)
The action history storage unit 122 stores the service user's action history in association with identification information (for example, user ID) for specifying the service user (for example, service user U). The action history stored in the action history storage unit 122 includes user attributes (for example, demographic attributes such as age, gender, region, etc.) based on the operation, browsing, etc. of service users in various services, and online content of various services. including psychographic attributes estimated based on usage history, etc.) and behavior history of service users in various services. The service user's action history in various services includes information on search words entered on websites visited by the service user.

(control unit 130)
The control unit 130 is a controller that controls the information processing device 100 . The control unit 130 executes various programs (for example, an information processing program) stored in a storage device inside the information processing apparatus 100 by using a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like, using the RAM as a work area. It is realized by being Also, the control unit 130 may be implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 7 , the control unit 130 has an acquisition unit 131 , a generation unit 132 and a provision unit 133 . Control unit 130 implements or executes the functions and actions of information processing described below by means of these units. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 7, and may be another configuration as long as it performs information processing to be described later. Moreover, the connection relationship of each part of the control unit 130 is not limited to the connection relationship shown in FIG. 7, and may be another connection relationship.

(Acquisition unit 131)
The acquisition unit 131 acquires a keyword associated with the candidate user from the search history and action history of the candidate user who can be the target user. For example, the acquisition unit 131 acquires keywords from the search histories and action histories of candidate users who match the attribute information specified as the narrowing-down condition by the service user. Also, for example, the acquisition unit 131 acquires a keyword from the search history and action history of the candidate user who matches the search keyword specified by the service user as the narrowing-down condition. Further, the acquisition unit 131 collects information from the content by analyzing the content corresponding to the URL specified as the narrowing-down condition by the service user for the candidate user, and acquires the keyword from the collected information.

Specifically, when there is a recommendation request from the terminal device 10, the acquisition unit 131 retrieves the search history stored in the search history storage unit 121 and the action history storage unit 122 based on the narrowing conditions included in the recommendation request. Search histories and action histories of candidate users that match the narrowing-down conditions are specified from among the action histories stored in the . Then, the acquisition unit 131 acquires a keyword associated with the candidate user from the specified search history and action history.

As a specific example, the acquisition unit 131 automatically collects search words (search queries) used by candidate users on search engine sites from the search histories of candidate users who match the demographic attributes and search keywords included in the narrowing-down conditions. Also, it is possible to crawl contents such as websites of various services visited by candidate users and automatically collect information contained in the contents. The information contained in the content includes various information such as inflow queries, products, services, advertisements, and reviews.

The generation unit 132 generates candidate word information in which the positioning of the keyword acquired by the acquisition unit 131 is specified using predetermined evaluation elements. For example, the generation unit 132 generates information that can be visually recognized by the service user as candidate word information. Specifically, generating unit 132 uses, as candidate word information, the volume of keywords (the number of searches and the number of hits) and the degree of relevance between keywords and candidate users, and graph information (for example, , see FIGS. 2 to 6).

(Generating unit 132)
Also, the generation unit 132 can use a lift value or the like as the degree of association between the keyword and the candidate user. For example, the generation unit 132 can calculate a lift value indicating the degree of association between a keyword and a candidate user based on the appearance probability of the keyword in the candidate user and the appearance probability of the keyword in the user group including the candidate user. Note that the generation unit 132 may use any index other than the lift value as long as it is index information that can evaluate the degree of association between the keyword and the candidate user.

In addition, the generation unit 132 has described an example in which the volume of the keyword and the degree of association between the keyword and the candidate user are used as predetermined evaluation factors for specifying the positioning of the keyword. Any element that can clearly indicate the positioning of keywords can be adopted.

In addition, the generation unit 132 uses, as candidate word information, the volume of keywords (the number of searches and the number of hits) and the degree of relevance between keywords and candidate users, and graph information (for example, FIG. 2 (see FIG. 6, etc.) has been described, but the present invention is not limited to this example, and any form of information may be generated as long as the service user can easily grasp the position of the keyword. For example, the generation unit 132 may separately generate a list listing keywords in descending order of volume and a list listing keywords in descending order of relevance.

(Providing unit 133)
The provision unit 133 provides service users with the candidate word information generated by the generation unit 132 as recommendation information that can be referred to when specifying conditions for narrowing down candidate users. For example, the providing unit 133 provides the service user with the recommendation information by transmitting the recommendation information to the terminal device 10 through the communication unit 110 .

In addition, the providing unit 133 provides the selected content of the keyword selected by the service user in the recommendation information in such a manner that the service user can comprehend it. For example, the providing unit 133 displays the keyword selected by the service user on the recommendation window W-2 displayed on the terminal device 10 in a manner that can be grasped at a glance through the desk research tool used by the service user. configured to be

[3. Processing procedure]
A processing procedure performed by the information processing apparatus 100 according to the embodiment will be described below with reference to FIG. 8 . 8 is a flowchart illustrating an example of a processing procedure performed by the information processing apparatus according to the embodiment; FIG. The processing procedure shown in FIG. 8 is executed by the control unit 130 of the information processing apparatus 100 . The processing procedure shown in FIG. 8 is repeatedly executed while the information processing apparatus 100 is in operation.

As shown in FIG. 8, the acquisition unit 131 acquires a recommendation request transmitted from the terminal device 10 through the communication unit 110 (step S101).

The acquisition unit 131 also retrieves the search history stored in the search history storage unit 121 and the action history stored in the action history storage unit 122 based on the narrowing conditions included in the recommendation request acquired in step S101. Search histories and action histories of candidate users that match the narrowing-down conditions are identified from among them, and keywords associated with the candidate users are acquired from the identified search histories and action histories (step S102).

In addition, the generation unit 132 generates candidate word information in which the positioning of the keyword acquired by the acquisition unit 131 is specified using predetermined evaluation elements (step S103).

Further, the providing unit 133 provides the service user with the candidate word information generated by the generating unit 132 as recommendation information that can be referred to when specifying conditions for narrowing down the candidate users (step S104).

[4. Hardware configuration]
The information processing apparatus 100 according to the embodiment is implemented by a computer 1000 configured as shown in FIG. 9, for example. FIG. 9 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus according to the embodiment.

Computer 1000 has CPU 1100 , RAM 1200 , ROM 1300 , HDD 1400 , communication interface (I/F) 1500 , input/output interface (I/F) 1600 and media interface (I/F) 1700 .

The CPU 1100 operates based on programs stored in the ROM 1300 or HDD 1400 and controls each section. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started, a program depending on the hardware of the computer 1000, and the like.

HDD 1400 stores programs executed by CPU 1100 and data used by these programs. Communication interface 1500 receives data from other devices via network (communication network) N, sends the data to CPU 1100, and transmits data generated by CPU 1100 to other devices via network (communication network) N.

The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice, via an input/output interface 1600 . CPU 1100 acquires data from an input device via input/output interface 1600 . CPU 1100 also outputs the generated data to an output device via input/output interface 1600 .

Media interface 1700 reads programs or data stored in recording medium 1800 and provides them to CPU 1100 via RAM 1200 . CPU 1100 loads such a program from recording medium 1800 onto RAM 1200 via media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. and so on.

For example, when the computer 1000 functions as the information processing apparatus 100 according to the embodiment, the CPU 1100 of the computer 1000 implements the functions of the control unit 130 by executing programs loaded on the RAM 1200 . In addition, data in storage unit 120 is stored in HDD 1400 . CPU 1100 of computer 1000 reads these programs from recording medium 1800 and executes them, but as another example, these programs may be obtained from another device via network (communication network) N.

[5. others]
Of the processes described in the above-described embodiments and modifications, all or part of the processes described as being performed automatically can be performed manually, or the processes described as being performed manually can be performed manually. All or part of the processing can also be performed automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified.

In the above-described embodiments and modifications, in order to realize the information processing method (see, for example, FIG. 8) by the information processing apparatus 100, each unit of the control unit 130 (acquisition unit 131, generation unit 132, and the providing unit 133) may be implemented as an add-on to a provided program pre-installed in the information processing apparatus 100, or may be flexibly implemented as a dedicated provided program using a lightweight programming language or the like. It may be realized by describing.

In the above-described embodiment and modification, the information processing device 100 includes a device that provides various services to service users and a desk research tool that is used for marketing activities and the like for service users. It may be configured to be physically distributed with the device to be provided.

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured. For example, the acquisition unit 131 and the generation unit 132 of the control unit 130 may be functionally integrated.

Further, the above-described embodiment and modifications can be appropriately combined within a range that does not contradict the processing content.

[6. effect]
The information processing apparatus 100 according to the above embodiment includes an acquisition unit 131 , a generation unit 132 and a provision unit 133 . The acquisition unit 131 acquires a keyword associated with the candidate user from the candidate user's search history and action history. The generation unit 132 generates candidate word information in which the positioning of the keyword acquired by the acquisition unit 131 is specified using predetermined evaluation elements. The provision unit 133 provides service users with the candidate word information generated by the generation unit 132 as recommendation information that can be referred to when specifying conditions for narrowing down candidate users.

In this way, the information processing apparatus 100 according to the embodiment can propose a keyword associated with a user having a desired attribute to the service user. As a result, the information processing apparatus 100 can assist the service user in setting narrowing conditions for narrowing down the target users using the desk research tool.

Further, in the information processing apparatus 100 according to the embodiment, the generation unit 132 generates information that can be visually recognized by the service user as candidate word information. As a result, the information processing apparatus 100 can visualize the candidate word information, and can encourage the service user to intuitively grasp the positioning of the keywords.

In addition, in the information processing apparatus 100 according to the embodiment, the generation unit 132 generates graph information that clearly indicates the positioning of keywords, using the volume of keywords and the degree of association between keywords and candidate users as candidate word information. do. As a result, the information processing apparatus 100 can allow the service user to easily recognize the keyword for inferring the interest of the candidate user.

In the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires keywords from the search history and action history of candidate users who match attribute information specified as a narrowing condition for narrowing down candidate users. As a result, the information processing apparatus 100 can collect sample data that reflects the interests of candidate users who have attributes desired by service users.

Further, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires keywords from the search history and action history of candidate users who match the search keywords specified as the narrowing conditions for narrowing down the candidate users. As a result, the information processing apparatus 100 can collect sample data that reflects the interests of candidate users who have attributes desired by service users.

Further, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 collects information from the content by analyzing the content corresponding to the URL specified as the narrowing condition for narrowing down the candidate users, and collects the information. Get keywords from the information obtained. As a result, the information processing apparatus 100 can collect sample data that reflects the interests of candidate users who have attributes desired by service users.

In addition, in the information processing apparatus 100 according to the embodiment, the providing unit 133 provides the selected content of the keyword selected by the service user in the recommendation information in such a manner that the service user can comprehend it. Thereby, the information processing apparatus 100 can improve the usability of the desk research tool.

As described above, the embodiments of the present application have been described in detail based on several drawings, but these are examples, and various modifications and It is possible to carry out the invention in other forms with modifications.

Also, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the control unit can be read as control means or a control circuit.

10 terminal device 100 information processing device 110 communication unit 120 storage unit 130 control unit 131 acquisition unit 132 generation unit 133 provision unit

Claims (9)

an acquisition unit that acquires a keyword associated with the candidate user from the candidate user's search history and action history;
a generation unit that generates candidate word information that specifies the positioning of the keyword acquired by the acquisition unit using a predetermined evaluation element;
and a providing unit that provides a service user with the candidate word information generated by the generating unit as recommendation information that can be referred to when specifying a condition for narrowing down the candidate users. . The generating unit
2. The information processing apparatus according to claim 1, wherein information that can be visually recognized by the service user is generated as the candidate word information. The generating unit
3. The method according to claim 2, wherein, as the candidate word information, the volume of the keyword and the degree of association between the keyword and the candidate user are used to generate graph information that clearly indicates the positioning of the keyword. Information processing equipment. The acquisition unit
4. The information processing apparatus according to any one of claims 1 to 3, wherein the keyword is acquired from the search history and the action history of the candidate user that matches the attribute information specified as the condition. The acquisition unit
4. The information processing apparatus according to any one of claims 1 to 3, wherein the keyword is acquired from the search history and the action history of the candidate user that matches the search keyword specified as the condition. The acquisition unit
4. The method according to any one of claims 1 to 3, wherein information is collected from the content corresponding to the URL specified as the condition by analyzing the candidate user, and the keyword is obtained from the collected information. 1. The information processing device according to 1. The providing unit
7. The information processing apparatus according to any one of claims 1 to 6, wherein the selection content of the keyword selected by the service user in the recommendation information is provided in a state that the service user can grasp. . A computer-executed information processing method comprising:
an acquisition step of acquiring a keyword associated with the candidate user from the candidate user's search history and action history;
a generation step of generating candidate word information in which the position of the keyword acquired in the acquisition step is specified by a predetermined evaluation element;
and a providing step of providing the candidate word information generated in the generating step to service users as recommendation information that can be referred to when specifying conditions for narrowing down the candidate users. . to the computer,
an acquisition procedure for acquiring a keyword associated with the candidate user from the candidate user's search history and action history;
a generation procedure for generating candidate word information in which the position of the keyword acquired by the acquisition procedure is specified by a predetermined evaluation element;
and a providing procedure for providing the candidate word information generated by the generating procedure to a service user as recommendation information that can be referred to when specifying conditions for narrowing down the candidate users. program.

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