JP7372285B2 - Information processing device, information processing method, and information processing program - Google Patents

Description

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

2. Description of the Related Art Conventionally, a service for extracting queries related to a search query has been provided as an auxiliary service to a search service that provides search results based on a search query. In such services, techniques have been proposed for extracting more diverse search queries when extracting search queries that are strongly related to the input search query.

JP 2017-224022 Publication

However, with conventional techniques, it is difficult to suggest keywords that are linked to users with desired attributes.

The present application has been made in view of the above, and aims to provide an information processing device, an information processing method, and an information processing program that can suggest keywords associated with users with desired attributes.

The information processing device according to the present application includes an acquisition section, a generation section, and a provision section. The acquisition unit acquires keywords associated with the candidate user from the candidate user's search history and behavior history. The generation unit generates candidate word information that clearly indicates the positioning of the keyword acquired by the acquisition unit using a predetermined evaluation element. The providing unit provides the candidate word information generated by the generating unit to the service user as recommendation information that can be referenced when specifying conditions for narrowing down candidate users.

According to one aspect of the embodiment, keywords associated with users with desired attributes can be proposed.

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

DESCRIPTION OF THE PREFERRED EMBODIMENTS An information processing apparatus, an information processing method, and an embodiment of an information processing program (hereinafter referred to as "embodiments") according to the present application will be described in detail below with reference to the drawings. Note that the information processing apparatus, information processing method, and information processing program according to the present application are not limited to the embodiments described below. Furthermore, the embodiments described below can be combined as appropriate within the range that does not conflict with the processing contents. Further, in the embodiments described below, the same parts are given the same reference numerals, and redundant explanations will be 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, the information processing system 1 according to the embodiment includes a terminal device 10 and an information processing device 100. Note that the information processing system 1 is not limited to the example shown in FIG. 1, and may include a plurality of terminal devices 10 and information processing apparatuses 100. Further, the information processing device 100 is not limited to the example described below, and can execute the information processing described below in parallel on 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 phone 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.

The terminal device 10 is an information processing device used by a service user U to utilize a service provided by the information processing device 100. The terminal device 10 is realized by a smartphone, 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. Note that when the terminal device 10 receives control information for realizing information display processing from the information processing device 100 or the like, it realizes 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 realized by a server device, a cloud system, or the like. Note that 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 written in, for example, 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 device 100 may be regarded as control information.

For example, the information processing device 100 can provide various services on the Internet to the service user U. Services provided by the information processing device 100 include search engine sites, news sites, technology commentary sites, shopping sites, finance sites (stock price sites), route search sites, map providing sites, travel sites, etc. , various services provided through restaurant introduction sites, web pages related to web blogs, etc. The information processing device 100 also includes various applications installed on 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, You can provide information to be displayed on travel apps, restaurant introduction apps, blog viewing apps, etc.

Further, the information processing device 100 can obtain information on the search word input by the service user U through the provision of the various services described above. Further, the information processing device 100 can accumulate information on the acquired search words as a search history (search log). The information processing device 100 also uses user attributes (for example, demographic attributes such as age, gender, region, etc., usage history of online content of various services, etc.) based on the operations and browsing of the service user U in various services. (e.g., psychographic attributes estimated based on the information) and the behavior history of the service user U in various services can be collected and stored in association with the user ID.

Further, the information processing device 100 can provide the service user U with a desk research tool for use in marketing activities, etc., as one of the provided services. The desk research tool provided by the information processing device 100 acquires information on candidate users who can become target users, and provides the information to the service user U, according to narrowing conditions arbitrarily set by the service user U, for example. By referring to the information provided by the desk research tool, the service user U can infer the interests of candidate users with desired attributes, which can be used 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, selecting effective keywords to be set as narrowing conditions for further narrowing down candidate users having desired attributes is not necessarily an easy task. To give a specific example, it is extremely difficult to infer suitable search words used by each user who is a single man in his 20s with an annual income of 6 million yen or more and set them as narrowing conditions.

Therefore, as described below, the information processing apparatus 100 according to the embodiment performs information processing to propose a keyword associated with a user with a desired attribute.

For example, as shown in FIG. 1, upon receiving a recommendation request from the terminal device 10, the information processing device 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 device 100 generates candidate word information that specifies the positioning of the acquired keyword using predetermined evaluation elements (step S2).

The information processing device 100 then provides the generated candidate word information to the service user U as recommendation information that can be referenced when specifying conditions for narrowing down candidate users (step S3).

An example of providing recommendation information according to the embodiment will be described using FIGS. 2 to 6. 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 of candidate users matching demographic attributes.

As shown in FIG. 2, the terminal device 10 executes the desk research tool provided by the information processing device 100, thereby setting the target 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 settings from the service user U for narrowing down conditions for narrowing down candidate users who can become target users. In the example shown in Figure 2, the target setting window W-1 has multiple 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.

In the "age" item, age conditions for narrowing down candidate users are set. In the "gender" item, gender conditions for narrowing down candidate users are set. In the "annual income" setting item, annual income conditions for narrowing down candidate users are set. An arbitrary keyword for narrowing down candidate users is set in the "Search keyword" item. In the example shown in FIG. 2, the terminal device 10 accepts "20s (age)", "male (gender)", and "6 million yen - (annual income)" set as narrowing conditions by service user U. ing.

Further, in the example shown in FIG. 2, an icon OB-1 for displaying recommendation information is provided adjacent to the "search keyword" item. The service user U can display recommendation information provided from the information processing device 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, it transmits a recommendation request including the narrowing conditions set in the target setting window W-1 to the information processing device 100. In the example shown in FIG. 2, the recommendation request sent from the terminal device 10 to the information processing device 100 includes the following: Age: "20s" + Gender: "Male" + Annual Income: "6 million yen - (or more)" This will include filtering 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 the criteria for narrowing down candidate users. As shown in FIG. 2, the recommendation information includes information on the narrowing conditions specified by the service user U ("20s + male + annual income of 6 million yen and up") and candidate word information.

The plurality of candidate words included in the candidate word information are keywords linked to candidate users that match the narrowing conditions set by the service user U, and for example, correspond to 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, the service user U can infer the interests of candidate users who match the demographic attributes set as narrowing conditions from the candidate words included in the recommendation information. The service user U can also select any candidate word from among a plurality of candidate words and use it as a search keyword to further divide the user segment corresponding to the candidate user. That is, the service user U can determine the interests of candidate users who can become target users by setting 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. You can analyze interests in detail by segment.

In addition, as shown in Figure 2, the recommendation information clearly indicates the positioning of the keyword using the volume of the keyword recommended as a candidate word (number of searches, number of hits, etc.) and the degree of relevance between the keyword and the candidate user. provided by graph information (scatter plot). In this way, by visualizing and providing the recommendation information, it is possible to encourage the service user U to intuitively grasp the positioning of candidate words.

In addition, as shown in Figure 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 keywords for inferring the interests of the candidate user. be able to. For example, in the recommendation information shown in Figure 2, keywords whose volume is relatively smaller than other keywords and whose degree of relevance is relatively larger than other keywords are likely to attract potential user groups or early adopters among candidate users. (early adopters). Thereby, the service user U can obtain a clue for dividing the user segment corresponding to the candidate user into a potential user group or an early adopter group. Further, using the degree of association corresponding to each keyword displayed in the graph as a guide, it becomes possible to easily separate candidate users who meet the narrowing conditions into user segments having the degree of association desired by the service user U.

Further, FIG. 3 shows an example of provision of recommendation information of candidate users matching demographic attributes and search keywords. In the example shown in FIG. 3, the terminal device 10 selects the filters that are set by the service user U as “20s (age),” “male (gender),” and “6 million yen or more (annual income).” , "Word X (search keyword)" is accepted.

When the terminal device 10 detects the operation of the icon OB-1, it transmits a recommendation request including the narrowing conditions set in the target setting window W-1 to the information processing device 100. In the example shown in FIG. 3, a recommendation request sent from the terminal device 10 to the information processing device 100 includes age: "20s" + gender: "male" + annual income: "6 million yen - (or more)" + "word Narrowing conditions consisting of "X (search keyword)" will be included.

Further, as shown in FIG. 3, the terminal device 10 displays recommendation information provided from the information processing device 100 in a recommendation window W-2. The recommendation information includes information on a narrowing condition corresponding to the recommendation information ("20s + male + annual income of 6 million yen ~ + word X") and information on multiple keywords (candidate word information). Thereby, the service user U can analogize the interests of candidate users who match the demographic attributes and match the arbitrarily set search keywords from among the keywords included in the recommendation information.

Further, FIG. 4 shows an example of provision of recommendation information of candidate users matching demographic attributes and a URL (Uniform Resource Locator) set as a search keyword. As shown in FIG. 4, the target setting window W-1 can accept the setting of a URL instead of a search keyword as a narrowing condition. In the example shown in FIG. 4, the terminal device 10 selects the filters in addition to the filtering conditions set by the service user U, such as "20s (age)," "male (gender)," and "6 million yen ~ (annual income)." , “https://www.ex.co.jp (URL)” is accepted.

Further, as shown in FIG. 4, the terminal device 10 displays recommendation information provided from the information processing device 100 in a recommendation window W-2. The recommendation information displayed in the recommendation window W-2 includes information on the filtering conditions corresponding to the recommendation information ("20s + male + annual income of 6 million yen ~ + https://www.ex.co.jp"), Contains information on multiple keywords (candidate word information). Thereby, the service user U can infer not only the demographic attributes but also the interests of the candidate user linked to the arbitrarily set URL from among the keywords included in the recommendation information.

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

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

Further, as shown in FIG. 6, the recommendation window W-2 may be configured in such a manner that it can accept selection of multiple keywords at once. For example, as shown in FIG. 6, the service user U can request bulk selection of keywords by performing an operation to specify a range of the area where the keywords are displayed in the recommendation window W-2.

When the recommendation window W-2 receives a range specification from the service user U, it displays a pop-up window W-3 for inquiring the service user U whether or not to select keywords included in the specified range all at once. .

A message asking the service user U whether or not to select candidate words all at once is displayed in the pop-up window W-3. Furthermore, the pop-up window W-3 is provided with a button BT-1 that is operated when confirming the batch selection request, and a button BT-2 that is operated when canceling the batch selection request.

For example, when an operation on button BT-1 is detected in pop-up window W-3, recommendation window W-2 receives a range specification from service user U, and responds to each keyword included in the specified 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" selected all at once by the service user U. OB-6 is displayed in the selection column.

In this way, the information processing device 100 can suggest to the service user U a keyword that is linked to a user with a desired attribute. In other words, the information processing apparatus 100 proposes keywords that can be set as narrowing conditions for further narrowing down candidate users having desired attributes, thereby providing narrowing conditions for further dividing candidate users having desired attributes. settings can be supported.

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

As shown in FIG. 7, the information processing device 100 includes a communication section 110, a storage section 120, and a control section 130. Note that FIG. 7 shows an example of the configuration of the information processing apparatus 100, and the information processing apparatus 100 is not limited to the configuration shown in FIG. 7, and may have a configuration that includes functional units other than those shown in FIG.

(Communication Department 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 other devices such as the terminal device 10 via the network N. The communication unit 110 is realized 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 (such as a mobile phone network or a fixed telephone network), a local IP (Internet Protocol) network, or the Internet. . The network N may include a wired network or a wireless network.

The communication unit 110 receives a recommendation request from the terminal device 10. Furthermore, 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 semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 120 stores programs and data for implementing information processing executed by each unit of the control unit 130.

As shown in FIG. 7, the storage unit 120 includes 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 a service user's search history in association with identification information (for example, user ID) for identifying the service user (for example, service user U). The search history stored in the search history storage unit 121 includes information on search words input by the service user through the search engine site.

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

(Control unit 130)
The control unit 130 is a controller that controls the information processing device 100. The control unit 130 allows a CPU (Central Processing Unit), an MPU (Micro Processing Unit), etc. to execute various programs (for example, information processing programs) stored in a storage device inside the information processing device 100 using the RAM as a work area. This is achieved by Further, the control unit 130 may be realized by, for example, 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 includes an acquisition unit 131, a generation unit 132, and a provision unit 133. The control unit 130 uses these units to realize or execute information processing functions and operations described below. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 7, and may be any other configuration as long as it performs information processing to be described later. Further, the connection relationship between the respective units included in the control unit 130 is not limited to the connection relationship shown in FIG. 7, and may be other connection relationships.

(Acquisition unit 131)
The acquisition unit 131 acquires keywords associated with the candidate user from the search history and behavior history of the candidate user who can become the target user. For example, the acquisition unit 131 acquires keywords from the search history and behavior history of candidate users that match the attribute information specified by the service user as a narrowing condition. Further, for example, the acquisition unit 131 acquires keywords from the search history and behavior history of candidate users that match the search keyword specified by the service user as a narrowing condition. Further, the acquisition unit 131 collects information from the content by analyzing the content corresponding to the URL designated by the service user as a narrowing condition for candidate users, and acquires keywords 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 behavior history storage unit 122 based on the narrowing conditions included in the recommendation request. The search history and behavior history of candidate users that match the narrowing conditions are identified from among the behavior histories stored in . The acquisition unit 131 then acquires keywords associated with the candidate user from the specified search history and behavior history.

To give a specific example, the acquisition unit 131 automatically collects search words (search queries) used by candidate users on search engine sites from the search history of candidate users that match the demographic attributes and search keywords included in the narrowing conditions. It is also possible to automatically collect information contained in content by visiting the websites of various services visited by candidate users. The information included in the content includes various information such as incoming queries, products, services, advertisements, and reviews.

The generation unit 132 generates candidate word information that clearly indicates the positioning of the keyword acquired by the acquisition unit 131 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, the generation unit 132 generates graph information (for example, , see FIGS. 2 to 6, etc.).

(Generation unit 132)
Further, 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 probability of appearance of the keyword in the candidate user and the probability of appearance of the keyword in a user group including the candidate user. Note that the generation unit 132 is not limited to the lift value, and may use any index as long as it is index information that can evaluate the degree of association between the keyword and the candidate user.

Further, although an example has been described in which the generation unit 132 uses the volume of the keyword and the degree of association between the keyword and the candidate user as predetermined evaluation elements for clearly indicating the positioning of the keyword, the generation unit 132 is not limited to this example. 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 the keyword (the number of searches and the number of hits) and the degree of association between the keyword and the candidate user, and graph information that clearly indicates the positioning of the keyword (for example, as shown in FIG. Although an example has been described in which information is generated (see FIG. 6, etc.), the information is not limited to this example, and any form of information may be generated as long as the service user can easily understand the positioning of the keyword. For example, the generation unit 132 may separately generate a list in which keywords are listed in descending order of volume and a list in descending order of relevance.

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

Further, the providing unit 133 provides the service user with the selection contents of the keyword selected by the service user in the recommendation information in a state that the service user can understand. For example, the providing unit 133 displays the keywords selected by the service user on the recommendation window W-2 displayed on the terminal device 10 in a manner that can be understood at a glance through the desk research tool used by the service user. Configure it so that

[3. Processing procedure]
Hereinafter, a processing procedure by the information processing apparatus 100 according to the embodiment will be described using FIG. 8. FIG. 8 is a flowchart illustrating an example of a processing procedure by the information processing apparatus according to the embodiment. The processing procedure shown in FIG. 8 is executed by the control unit 130 of the information processing device 100. The processing procedure shown in FIG. 8 is repeatedly executed while the information processing device 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 behavior history stored in the behavior history storage unit 122 based on the narrowing conditions included in the recommendation request acquired in step S101. The search history and behavior history of the candidate user matching the narrowing conditions are identified from among the search history and behavior history, and keywords linked to the candidate user are acquired from the identified search history and behavior history (step S102).

Furthermore, the generation unit 132 generates candidate word information that clearly indicates the positioning of the keyword acquired by the acquisition unit 131 using predetermined evaluation elements (step S103).

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

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

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

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

The CPU 1100 controls output devices such as a display and a printer, and input devices such as a keyboard and a mouse via an input/output interface 1600. CPU 1100 obtains data from an input device via input/output interface 1600. Further, CPU 1100 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 this 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 disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. etc.

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

[5. others]
Among the processes described in the embodiments and modifications described above, 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 using known methods. In addition, information including the processing procedures, specific names, and various data and parameters shown in the above documents and drawings may be changed arbitrarily, unless otherwise specified.

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

Furthermore, in the embodiments and modified examples described above, 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 to service users. It may be configured to be physically dispersed in the provided devices.

Furthermore, each component of each device shown in the drawings is functionally conceptual, and does not necessarily need to be physically configured as shown in the drawings. In other words, the specific form of distributing and integrating each device is not limited to what is shown in the diagram, and all or part of the devices can be functionally or physically distributed or integrated in arbitrary units depending on 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 embodiments and modified examples can be combined as appropriate within the range that does not conflict with the processing contents.

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

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

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

Furthermore, in the information processing apparatus 100 according to the embodiment, the generation unit 132 generates graph information that clearly indicates the positioning of the keyword, using the volume of the keyword and the degree of association between the keyword and the candidate user as candidate word information. do. Thereby, the information processing apparatus 100 can easily make the service user recognize the keyword for inferring the candidate user's interests.

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

Furthermore, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires keywords from the search history and behavior history of candidate users that match the search keyword specified as a narrowing condition for narrowing down candidate users. Thereby, the information processing apparatus 100 can collect sample data that reflects the interests of candidate users who have attributes desired by the service user.

In the information processing apparatus 100 according to the embodiment, the acquisition unit 131 collects information from content by analyzing content corresponding to a URL specified as a narrowing condition for narrowing down candidate users for candidate users. Obtain keywords from the information. Thereby, the information processing apparatus 100 can collect sample data that reflects the interests of candidate users who have attributes desired by the service user.

Further, 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 a state that the service user can understand. Thereby, the information processing apparatus 100 can improve the usability of the desk research tool.

As mentioned above, the embodiments of the present application have been described in detail based on several drawings, but these are merely examples, and various modifications and variations can be made based on the knowledge of those skilled in the art, including the embodiments described in the disclosure section of the invention. It is possible to carry out the invention in other forms with modifications.

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

Narrowing down conditions set by the service user on the target setting window, which is one of the user interfaces for using the desk research tool that operates on the terminal device used by the service user, according to the operation by the service user. an acquisition unit that acquires a keyword associated with the candidate user from the search history and action history of the candidate user that matches the candidate user;
a generation unit that generates candidate word information that specifies the positioning of the keyword acquired by the acquisition unit using predetermined evaluation elements;
In response to a request from the service user, the desk research tool uses the candidate word information generated by the generation unit as recommendation information that can be referenced when specifying conditions for further narrowing down the candidate users. An information processing apparatus comprising: a provision unit that provides the service to the service user by displaying the information on a recommendation window that is one of the user interfaces for the information processing apparatus. The generation unit is
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 generation unit is
3. The method according to claim 2, wherein, as the candidate word information, a volume of the keyword and a 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 device. The generation unit is
The degree of association is calculated based on the probability of appearance of the keyword in the candidate user and the probability of appearance of the keyword in a group of other users including the candidate user.
The information processing device according to claim 3, characterized in that: The acquisition unit includes:
The information processing device according to any one of claims 1 to 4, wherein the keyword is acquired from the search history and the action history of the candidate user that matches attribute information specified as the condition. The acquisition unit includes:
The information processing apparatus according to any one of claims 1 to 4 , wherein the keyword is acquired from the search history and action history of the candidate user that matches a search keyword specified as the condition. The acquisition unit includes:
Any one of claims 1 to 4 , characterized in that information is collected from the content by analyzing the content corresponding to the URL specified as the condition for the candidate user, and the keyword is obtained from the collected information. The information processing device according to item 1. An information processing method performed by a computer, the method comprising:
Narrowing down conditions set by the service user on the target setting window, which is one of the user interfaces for using the desk research tool that operates on the terminal device used by the service user, according to the operation by the service user. an acquisition step of acquiring a keyword linked to the candidate user from the search history and action history of the candidate user matching the above;
a generation step of generating candidate word information that specifies the positioning of the keyword acquired in the acquisition step using predetermined evaluation elements;
In response to a request from the service user, the desk research tool uses the candidate word information generated in the generation step as recommendation information that can be referenced when specifying conditions for further narrowing down the candidate users. and providing the information to the service user by displaying it on a recommendation window that is one of the user interfaces for the information processing method. to the computer,
Narrowing down conditions set by the service user on the target setting window, which is one of the user interfaces for using the desk research tool that operates on the terminal device used by the service user, according to the operation by the service user. an acquisition procedure of acquiring a keyword associated with the candidate user from the search history and action history of the candidate user matching the above;
a generation procedure for generating candidate word information that specifies the positioning of the keyword acquired by the acquisition procedure using predetermined evaluation elements;
In response to a request from the service user, the desk research tool uses the candidate word information generated by the generation procedure as recommendation information that can be referenced when specifying conditions for further narrowing down the candidate users. An information processing program that causes the information processing program to perform the following steps: providing the service to the service user by displaying the same on a recommendation window that is one of the user interfaces for the information processing program .

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