JP2021077198A - Keyword proposal system, keyword proposal method, and keyword proposal program - Google Patents

Abstract

To propose a more suitable keyword.SOLUTION: The present invention is directed to a keyword proposal system 1 for managing keywords set by a plurality of users with respected to each management object. The system has a first extracting unit 12 for extracting a management object set with a keyword that is the same keyword as a target keyword set by a target user and is set by a user different from the target user, a second extracting unit 13 for extracting a keyword set by the user different from the target user for the management object extracted by the first extracting unit 12, and a proposal unit 14 for proposing, to the target user, the keyword extracted by the second extracting unit 13 as a keyword candidate.SELECTED DRAWING: Figure 1

Description

One aspect of the disclosure relates to a keyword proposal system, a keyword proposal method and a keyword proposal program.

The following Patent Document 1 discloses a search system that proposes a related search keyword related to the search keyword.

Japanese Unexamined Patent Publication No. 2014-67095

The above search system preferentially proposes related search keywords with high advertising effectiveness. However, there is a problem that the related search keyword having a high advertising effect is not the search keyword desired by the user. Therefore, it is desired to propose more appropriate keywords.

The keyword proposal system according to one aspect of the present disclosure is a keyword proposal system that manages keywords set for each management target by a plurality of users, and is a target keyword that is a keyword set by a target user who is one user. The first extraction unit that extracts the management target that has the same keyword but the keyword set by the user different from the target user is set, and the management target that is different from the target user is set to the management target extracted by the first extraction unit. It includes a second extraction unit that extracts keywords, and a proposal unit that proposes keywords extracted by the second extraction unit to target users as keyword candidates.

In this aspect, management targets that have the same keywords as the keywords set by the target user but have keywords set by users different from the target user are extracted, and users different from the target user are extracted. The keywords set as targets are extracted, and the extracted keywords are proposed to the target users as keyword candidates. As a result, for example, a keyword of another user who has the same interests as the target user is proposed to the target user, so that a keyword more useful for the target user is proposed. That is, more appropriate keywords can be proposed.

According to one aspect of the disclosure, more appropriate keywords can be proposed.

It is a figure which shows an example of the functional structure of the keyword proposal system which concerns on embodiment. It is a figure which shows the table example of the keyword table. It is a figure which shows the table example of the news table. It is a figure which shows an example of the hardware composition of the computer used in the keyword proposal system which concerns on embodiment. It is a flowchart which shows an example of the process executed by the keyword proposal system which concerns on embodiment. It is a figure which shows the structure of the keyword proposal program which concerns on embodiment together with the storage medium.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. In the description of the drawings, the same elements are designated by the same reference numerals, and duplicate description will be omitted. Further, the embodiments in the present disclosure in the following description are specific examples of the present invention, and are not limited to these embodiments unless otherwise specified to limit the present invention.

The keyword proposal system 1 according to the embodiment is a computer system that manages keywords set for each management target by each of a plurality of users and proposes new keywords to the users. The keyword proposal system 1 may further manage the search results searched by the above-mentioned managed keywords.

The management target is something that the user manages, for example, a thing, a thing, a person (including a corporation, etc.), a company, an organization, a group, information, and the like. In the embodiment, the management target is a customer managed by the user, but the management target is not limited to the customer. The "customer" in the embodiment may be appropriately read as "managed object" or the like.

A keyword is a word or phrase that can be used for any purpose. In the embodiment, the keyword is a search keyword for searching news that the customer is interested in on a news site or the like, but the keyword is not limited to this. The "search keyword" in the embodiment may be appropriately read as a "keyword" or the like. A search is performed based on the search keywords managed by the keyword proposal system 1 (by the keyword proposal system 1 or the like).

The search result is information on the result of a search performed based on the search keyword (by the keyword proposal system 1 or the like). In the embodiment, the search result is news searched on a news site or the like (information on the content of a web page such as a news site), but the present invention is not limited to this. The "news" in the embodiment may be appropriately read as a "search result" or the like.

When the user uses the keyword suggestion system 1, it is assumed that the user logs in to the keyword suggestion system 1. When the user logs in to the keyword proposal system 1, a user ID and password unique to the user and identifying the user are entered. After the user logs in, the keyword proposal system 1 identifies that the process based on the user's operation or the like is performed by the user.

By using the keyword proposal system 1, each of the plurality of users can set a search keyword for each customer, and can refer to the news searched by the search keyword for each customer. As a result, each user can refer to the news that the customer is interested in for each customer without any hassle. Then, for example, when communicating with the customer, each user can talk about the news that he / she referred to, so that it becomes a so-called ice break and can smoothly communicate with the customer.

FIG. 1 is a diagram showing an example of the functional configuration of the keyword proposal system 1. As shown in FIG. 1, the keyword proposal system 1 includes a management unit 10, a storage unit 11, a first extraction unit 12 (first extraction unit), a second extraction unit 13 (second extraction unit), and a proposal unit 14. It is composed.

Each functional block of the keyword proposal system 1 is assumed to function in the keyword proposal system 1, but is not limited to this. For example, a part of the functional block of the keyword proposal system 1 is a computer device different from the keyword proposal system 1, and information is appropriately transmitted to and received from the keyword proposal system 1 in the computer device connected to the keyword proposal system 1 via a network. It may function while doing so. Further, some functional blocks of the keyword proposal system 1 may be omitted, a plurality of functional blocks may be integrated into one functional block, or one functional block may be decomposed into a plurality of functional blocks. Good.

Hereinafter, each function of the keyword proposal system 1 shown in FIG. 1 will be described.

The management unit 10 performs various types of management in the keyword proposal system 1. Specifically, the management unit 10 manages the search keywords and news, including the management.

[Management of search keywords]
The management unit 10 sets the search keyword specified by the user for the customer specified by the user. For example, after the user logs in to the keyword proposal system 1, the keyword proposal system 1 displays a list of customers registered in advance for the user in the keyword proposal system 1 to the user together with a text box and a setting button (communication described later). Display (via device 1004 or output device 1006), the user selects one of the customers in the list of customers, enters the search keyword in the text box and presses the set button, the keyword suggestion system 1 selects. Set the entered search keyword for one customer.

The management unit 10 may manage search keywords by using the keyword table stored by the storage unit 11 described later. FIG. 2 is a diagram showing an example of a keyword table. As shown in FIG. 2, the keyword table includes a user ID (used at the time of login) that identifies the user who sets the search keyword, a keyword ID issued by the keyword proposal system 1 that identifies the search keyword, and the keyword ID. The set date and time, which is the date and time when the search keyword is set, the customer ID that identifies the customer for which the search keyword is set, and the keyword 1 and the keyword 2 which are the search keywords are associated with each other. In the embodiment, it is assumed that two search keywords (keyword 1 and keyword 2 described above) are set for one customer, but the present invention is not limited to this, and one search keyword may be set. However, three or more search keywords may be set. When the user receives an input regarding the setting of the search keyword, the management unit 10 refers to the keyword table stored by the storage unit 11 and updates the keyword table based on the input.

[News management]
The management unit 10 searches (web search) based on the set search keyword (news site or the like), and stores the news that is the result of the search. The management unit 10 may search by periodic batch processing (for example, executed at 0 o'clock every day), or may search based on the instruction of the administrator of the keyword proposal system 1.

The management unit 10 may manage news by using the news table stored by the storage unit 11 described later. FIG. 3 is a diagram showing an example of a news table. As shown in FIG. 3, the news table is a news ID issued by the keyword proposal system 1 that identifies the news searched based on the set search keyword, and the date and time when the news was acquired (searched). The acquisition date and time, the URL (Uniform Resource Locator) of the news, the title of the news, and the outline of the news (automatically generated based on the content of the news by the keyword proposal system 1) are associated with each other. .. In addition, for example, by further associating the user ID and the keyword ID in the news table, the relationship between the user, the search keyword set by the user, and the news searched by the search keyword may be further managed. ..

The storage unit 11 stores arbitrary information. Specifically, the storage unit 11 stores the above-mentioned keyword table and news table. The storage unit 11 may store various information calculated by each function of the keyword proposal system 1. Further, the information stored by the storage unit 11 may be appropriately referred to by each function of the keyword proposal system 1.

The first extraction unit 12 is a user who has the same search keyword as the target keyword set by the target user who is one user but is different from the target user (hereinafter, appropriately referred to as "first different user"). Extract customers for which the search keyword set by is set. For example, the first extraction unit 12 refers to the keyword table stored by the storage unit 11, and corresponds to a record having the same user ID as the user ID of the user (target user) logged in to the keyword proposal system 1. The keyword ID is extracted, the keyword table is referred to again, and the customer ID corresponding to the record which is the same keyword ID as the extracted keyword ID and whose user ID is other than the user ID of the target user described above is extracted. In the embodiment, the target user is described as a user logged in to the keyword proposal system 1, but the present invention is not limited to this. For example, as described later, when the first extraction unit 12 and the like are executed in batch processing, any user (for example, all users) may be the target user. In that case, in the description of the embodiment, the user ID of the user logged in to the keyword proposal system 1 shall be read as the user ID of the user to be processed.

When a plurality of keyword IDs are extracted in the first half of the above processing, the second half of the processing is performed for each of the extracted keyword IDs, the customer IDs for each keyword ID are extracted, and all the extracted customers. Extract the ID as the final customer. Similarly, in the description of the subsequent processing in the embodiment, when a plurality of information is extracted or acquired in the middle of the processing, in the subsequent processing, each information (of the plurality of information) is (repeatedly). All the result products obtained by performing the treatment and combining the result products obtained by each treatment shall be the final result products. In the following description of the process, the description of the iterative process for each information will be omitted as appropriate.

The elements (columns) of the keyword table used in the above processing are only three elements, a user ID, a keyword ID, and a customer ID. Therefore, when performing the above processing, the first extraction unit 12 uses a table that includes only the user ID, the keyword ID, and the customer ID, and the three elements correspond to each other in the same manner as the keyword table, instead of the keyword table. You may. Similarly, in the subsequent processing in the embodiment, when only a part of the elements included in the keyword table and the news table is used, a table including the part of the elements is appropriately generated in advance, and the table is used instead. You may use it.

The first extraction unit 12 may be executed by a periodic batch process (for example, executed at 0 o'clock every day), or may be executed based on an instruction of a user or an administrator of the keyword proposal system 1. The first extraction unit 12 outputs information indicating the extracted customer (extracted customer ID described above) to the second extraction unit 13 and the proposal unit 14. The first extraction unit 12 further extracts information indicating the first different user (the user ID corresponding to the record including the above-mentioned extracted customer ID in the keyword table) in the second extraction unit 13 and the proposal unit. It may be output to 14. Further, the first extraction unit 12 may further output information indicating the target keyword (the above-mentioned extracted keyword ID in the keyword table) to the second extraction unit 13 and the proposal unit 14. Further, the first extraction unit 12 further provides information indicating the date and time when the target user sets the target keyword (the set date and time corresponding to the record including the above-mentioned extracted keyword ID in the keyword table). It may be output to the extraction unit 13 and the proposal unit 14.

Among the target keywords, the first extraction unit 12 is the same search keyword as the search keyword that has not been set at the predetermined time in the past from the present time or the search keyword for which the predetermined time has passed since the setting, and the target user is Customers with search keywords set by different users (first different users) may be extracted. For example, the first extraction unit 12 first refers to the keyword table stored by the storage unit 11, and has the same user ID as the user ID of the user (target user) logged in to the keyword proposal system 1, and has the same user ID as the set date and time. Is not included in the specified time in the past from the current time, or the keyword ID corresponding to the record whose current time is more than the specified time from the set date and time is extracted, the keyword table is referred to again, and the extracted keyword ID is extracted. The customer ID that has the same keyword ID as the above and the user ID corresponds to a record other than the user ID of the target user described above is extracted.

For each variation of the processing of the first extraction unit 12 described above, two or more may be freely combined.

The second extraction unit 13 extracts the search keyword set for the customer extracted by the first extraction unit 12 by a user different from the target user (second other user). For example, the second extraction unit 13 refers to the keyword table stored by the storage unit 11, is the customer ID extracted (input) by the first extraction unit 12, and is a user who is logged in to the keyword proposal system 1 ( The keyword ID corresponding to the record of the user ID different from the user ID of the target user) is extracted. The first different user and the second different user may be different users or may be the same user. That is, the "user different from the target user" in the process of the first extraction unit 12 and the "user different from the target user" in the process of the second extraction unit 13 may be different users or the same user. It may be.

The second extraction unit 13 outputs information indicating the extracted search keyword (the above-mentioned extracted keyword ID) to the proposal unit 14. The second extraction unit 13 may further output the set date and time of the extracted search keyword (the set date and time corresponding to the record including the extracted keyword ID described above in the keyword table) to the proposal unit 14. ..

The second extraction unit 13 extracts a search keyword different from the target keyword from the search keywords set for the customer extracted by the first extraction unit 12 by a user different from the target user (second other user). May be good. For example, the second extraction unit 13 refers to the keyword table stored by the storage unit 11, is the customer ID extracted (input) by the first extraction unit 12, and is a user who is logged in to the keyword proposal system 1 ( The keyword ID corresponding to the record of the keyword ID different from the user ID of the target user) and different from the keyword ID (indicating the target keyword) input by the first extraction unit 12 is extracted.

The second extraction unit 13 is a search set after the target keyword is set among the search keywords set for the customers extracted by the first extraction unit 12 by a user different from the target user (second different user). Keywords may be extracted. For example, the second extraction unit 13 refers to the keyword table stored by the storage unit 11, is the customer ID extracted (input) by the first extraction unit 12, and is a user who is logged in to the keyword proposal system 1 ( A keyword that is different from the user ID of the target user) and corresponds to a record whose set date and time is later than the set date and time entered by the first extraction unit 12 (indicating the date and time when the target keyword was set). Extract the ID.

For each variation of the processing of the second extraction unit 13 described above, two or more may be freely combined.

The proposal unit 14 proposes the search keyword extracted by the second extraction unit 13 to the target user as a search keyword candidate. For example, the proposal unit 14 extracts the keyword 1 and the keyword 2 corresponding to the keyword ID extracted (input) by the second extraction unit 13 in the keyword table stored by the storage unit 11, and the extracted keyword 1 And the keyword 2 is displayed to the logged-in user (target user) (via the communication device 1004 or the output device 1006 described later) to propose to the target user.

The proposal unit 14 may use the search keyword extracted by the second extraction unit 13 as a search keyword candidate and propose it to the target user based on the timing at which the search keyword is set. For example, the proposal unit 14 extracts the keyword 1 and the keyword 2 corresponding to the keyword ID extracted (input) by the second extraction unit 13 in the keyword table stored by the storage unit 11, and the extracted keyword 1 And the keyword 2 are logged in in the order of the set date and time (information indicating the timing when the extracted keyword 1 and the keyword 2 are set) input by the second extraction unit 13 (for example, the newer the set date and time, the higher the value). It is proposed to the target user by displaying it to the existing user (target user) (via the communication device 1004 or the output device 1006 described later). Further, for example, the proposal unit 14 extracts the keyword 1 and the keyword 2 corresponding to the keyword ID extracted (input) by the second extraction unit 13 in the keyword table stored by the storage unit 11, and the extracted keywords. To the user (target user) who has logged in the set date and time (information indicating the timing when the extracted keyword 1 and keyword 2 are set) input by the second extraction unit 13 and the keyword 1 and the keyword 2 (communication described later). Propose to the target user by displaying (via device 1004 or output device 1006).

The proposal unit 14 may propose a search keyword candidate to the target user based on the aggregation of the search keywords extracted by the second extraction unit 13. The proposal unit 14 may perform weighting based on the set timing of the search keyword extracted by the second extraction unit 13 at the time of aggregation. For example, the proposal unit 14 first extracts and extracts the keyword 1 and the keyword 2 corresponding to the keyword ID extracted (input) by the second extraction unit 13 in the keyword table stored by the storage unit 11. Keyword 1 and keyword 2 and the number of appearances "1" are paired [keyword 1 and keyword 2, the number of appearances], and are totaled by iterative processing of each first extraction unit 12 and each second extraction unit 13. The proposal unit 14 adds up the number of appearances when the keyword 1 and the keyword 2 overlap at the time of aggregation (the number of appearances is added one by one). Further, the proposal unit 14 may weight the number of appearances as the set date and time input by the second extraction unit 13 is closer to the present time (the newer the set date and time) at the time of aggregation. Next, the proposal unit 14 sends the keywords 1 and 2 included in each pair to the logged-in user (target user) in descending order of the number of appearances (communication device 1004 or output device 1006 described later). Propose to the target user by displaying (via).

For each variation of the processing of the proposal unit 14 described above, two or more may be freely combined.

FIG. 4 is a diagram showing an example of the hardware configuration of the computer used in the keyword proposal system 1 according to the embodiment of the present disclosure. Physically, as shown in FIG. 4, the keyword proposal system 1 shown in FIG. 1 includes a processor 1001 which is a CPU, a memory 1002 which is a main storage device, a storage 1003 which is an auxiliary storage device, a communication device 1004, and an input. It is configured as a computer system composed of a computer including a device 1005, an output device 1006, and the like.

The function of each functional block of the keyword proposal system 1 shown in FIG. 1 is stored under the control of the processor 1001 by loading predetermined computer software on the hardware such as the processor 1001 and the memory 1002 shown in FIG. This is realized by operating the 1003, the communication device 1004, the input device 1005, and the output device 1006, and reading and writing data in the memory 1002 and the storage 1003.

FIG. 5 is a flowchart showing an example of a process (keyword proposal method) executed by the keyword proposal system 1 according to the embodiment. First, the first extraction unit 12 extracts customers who have the same search keyword as the target keyword set by the target user but have a search keyword set by a first different user different from the target user (step S1, step S1). First extraction step). Next, the second extraction unit 13 extracts the search keyword set for the customer extracted in S1 by a second user different from the target user (step S2, second extraction step). Next, the proposal unit 14 proposes the search keyword extracted in S2 to the target user as a search keyword candidate (step S3, proposal step).

Subsequently, the keyword proposal program 100 for causing the computer to execute the above-mentioned series of processes by the keyword proposal system 1 will be described. As shown in FIG. 6, the keyword proposal program 100 is inserted into a computer and accessed, or is stored in a program storage area 51 formed in a storage medium 50 included in the computer. More specifically, the keyword proposal program 100 is stored in the program storage area 51 formed in the storage medium 50 included in the keyword proposal system 1.

The keyword proposal program 100 includes a management module 101, a storage module 102, a first extraction module 103, a second extraction module 104, and a proposal module 105. The functions realized by executing the management module 101, the storage module 102, the first extraction module 103, the second extraction module 104, and the proposal module 105 are the management unit 10, the storage unit 11, and the third unit of the keyword proposal system 1 described above. The functions are the same as those of the first extraction unit 12, the second extraction unit 13, and the proposal unit 14, respectively.

The keyword proposal program 100 may be configured such that a part or all thereof is transmitted via a transmission medium such as a communication line, received by another device, and stored (including installation). Further, each module of the keyword proposal program 100 may be installed on any of a plurality of computers instead of one computer. In that case, the above-mentioned series of keyword proposal program 100 is processed by the computer system by the plurality of computers.

Subsequently, the operation and effect of the keyword proposal system 1 according to the embodiment will be described.

According to the keyword proposal system 1 that manages the search keywords set for each customer (management target) by each of a plurality of users, the search keywords are the same as the target keywords that are the search keywords set by the target user who is one user. The first extraction unit 12 that extracts customers for which search keywords set by a user different from the target user (first different user) are set, and the first extraction unit 12 that extracts users different from the target user (second different user). It includes a second extraction unit 13 that extracts the search keyword set for the customer extracted by the unit 12, and a proposal unit 14 that proposes the search keyword extracted by the second extraction unit 13 to the target user as a search keyword candidate. .. With this configuration, for example, a search keyword of a second other user who has the same interests as the target user is proposed to the target user, so that a search keyword more useful for the target user is proposed. That is, it is possible to propose a more appropriate search keyword.

Further, according to the keyword proposal system 1, the first extraction unit 12 refers to a search keyword that has not been set at a predetermined time in the past from the present time, or a search keyword that has passed a predetermined time since it was set, among the target keywords. Customers with the same search keyword but with a search keyword set by a user different from the target user may be extracted. With this configuration, it is possible to propose a new search keyword for a search keyword that has not been set (left unattended) by the target user for a certain period of time. As a result, it is possible to propose a more appropriate search keyword for an old search keyword without causing the user to take time and effort.

Further, according to the keyword proposal system 1, the second extraction unit 13 selects a search keyword different from the target keyword among the search keywords set for the customer extracted by the first extraction unit 12 by a user different from the target user. It may be extracted. With this configuration, a search keyword different from the target keyword can be proposed as a new search keyword. Thereby, more appropriate search keywords can be proposed.

Further, according to the keyword proposal system 1, the second extraction unit 13 is set after the target keyword is set among the search keywords set for the customers extracted by the first extraction unit 12 by a user different from the target user. The searched search keyword may be extracted. With this configuration, newer search keywords are extracted, so that more appropriate search keywords can be proposed.

Further, according to the keyword proposal system 1, the proposal unit 14 may use the search keyword extracted by the second extraction unit 13 as a search keyword candidate and propose it to the target user based on the timing at which the search keyword is set. Good. With this configuration, the target user can consider the proposed search keyword including the set timing, so that a more appropriate search keyword can be selected.

Further, according to the keyword proposal system 1, the proposal unit 14 may propose a search keyword candidate to the target user based on the aggregation of the search keywords extracted by the second extraction unit 13. In addition, the proposal unit 14 may perform weighting based on the set timing of the search keyword extracted by the second extraction unit 13 at the time of aggregation. With this configuration, the search keyword is proposed based on the aggregation (and the timing at which the search keyword is set), so that a more appropriate search keyword can be proposed.

Customer interests generally develop over time. In order to grasp the latest situation of interest, it is necessary to update the search keyword once set. In addition, expected users such as sales staff are required to maintain good relationships with many customers, and the number of search keywords to be updated increases in proportion to the number of customers. Updating many search keywords is a burden to the user. However, if the update is neglected, the accuracy of the search keyword will deteriorate, the quality of the extracted information will deteriorate, and the added value of the service will decrease. In some cases, new search keywords can be easily set through conversations with customers, but it is not easy to update search keywords for customers who do not talk frequently. Therefore, the issue is whether there is a way to update the search keyword while suppressing the burden on the user.

When browsing news on the web of major media, there is a function to present news that is highly relevant to the news, but existing recommendations based on such relevance can adjust the news group viewed by the user. Can not. Searching with a normal web browser requires a lot of operations for each customer, and "filter bubble", that is, the browsing history of the searcher (the user) is reflected in the search results, and it is for the searcher instead of the customer. There is also the problem of being biased.

According to the keyword proposal system 1 according to the embodiment, since the user can update the search keyword by selecting from the presented options, the burden of updating is significantly suppressed as compared with the resetting from a blank sheet.

In the keyword proposal system 1 according to the embodiment, when recommending a new search keyword to the target user, a second different user who has set the same search keyword as the target user in the past (actually, other than the second different user) If there are multiple items, the search keywords set by all of them) will be the target of the proposal.

1 ... Keyword proposal system, 10 ... Management unit, 11 ... Storage unit, 12 ... First extraction unit, 13 ... Second extraction unit, 14 ... Proposal unit, 50 ... Storage medium, 51 ... Program storage area, 100 ... Keyword proposal Program, 101 ... Management module, 102 ... Storage module, 103 ... First extraction module, 104 ... Second extraction module, 105 ... Proposal module, 1001 ... Processor, 1002 ... Memory, 1003 ... Storage, 1004 ... Communication device, 1005 ... Input device, 1006 ... Output device.

Claims (9)

It is a keyword proposal system that manages keywords set for each management target by multiple users.
The first extraction unit that extracts the management target that has the same keyword as the target keyword that is the keyword set by the target user who is one user but has the keyword set by the user different from the target user.
A second extraction unit that extracts keywords set as management targets extracted by the first extraction unit by a user different from the target user, and a second extraction unit.
A proposal unit that proposes keywords extracted by the second extraction unit to target users as keyword candidates, and a proposal unit.
Keyword proposal system with. Among the target keywords, the first extraction unit includes keywords that are not set at a predetermined time in the past from the present time or keywords that are the same as keywords for which a predetermined time has passed since the setting, but are different from the target user. Extract the management target for which the set keyword is set,
The keyword proposal system according to claim 1. The second extraction unit extracts a keyword different from the target keyword from the keywords set as the management target extracted by the first extraction unit by a user different from the target user.
The keyword proposal system according to claim 1 or 2. The second extraction unit extracts the keywords set after the target keyword is set from the keywords set as the management target extracted by the first extraction unit by a user different from the target user.
The keyword proposal system according to any one of claims 1 to 3. The proposal unit proposes the keyword extracted by the second extraction unit to the target user based on the timing at which the keyword is set, using the keyword as a keyword candidate.
The keyword proposal system according to any one of claims 1 to 4. The proposal unit proposes keyword candidates to the target user based on the aggregation of the keywords extracted by the second extraction unit.
The keyword proposal system according to any one of claims 1 to 5. The proposal unit performs weighting based on the set timing of the keywords extracted by the second extraction unit at the time of aggregation.
The keyword proposal system according to claim 6. It is a keyword proposal method executed by a keyword proposal system that manages keywords set for each management target by multiple users.
The first extraction step to extract the management target that has the same keyword as the target keyword that is the keyword set by the target user who is one user but has the keyword set by the user different from the target user.
A second extraction step in which a user different from the target user extracts a keyword set as a management target extracted in the first extraction step, and a second extraction step.
A proposal step that proposes the keywords extracted in the second extraction step to the target user as keyword candidates, and
Keyword suggestion method including. A keyword proposal system that manages keywords set for each management target by multiple users.
The first extraction unit that extracts the management target that has the same keyword as the target keyword that is the keyword set by the target user who is one user but has the keyword set by the user different from the target user.
A second extraction unit that extracts keywords set as management targets extracted by the first extraction unit by a user different from the target user,
A proposal unit that proposes to the target user the keywords extracted by the second extraction unit as keyword candidates.
Keyword suggestion program to function as.

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