JP2004094936A - Information retrieval method and information retrieval device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To efficiently retrieve and output information close to the request of a user from application information of an event. <P>SOLUTION: In a search condition table 12, retrieval items to application information are kept as a hierarchical structure. Priority 15 of the retrieval item used as a retrieval object is calculated for every user classification item as required based on event trend information 13 showing the trend of desired events for every user classification item and event contract achievement information 14 showing an event contract agreement status between past users for every user classification item and the provider of the application information. When the retrieval item designated by the user and the user classification item relating to the user are received from the user as a search condition (S2), an application information DB 11 is searched (S3), and when the number of pieces of the application information is not more than a predetermined value (S4), the application information DB 11 is searched again by using other search conditions in the same rank based on the search condition table 12 in the ascending order of the priority 15 to annunciate the search result to the user (S5). <P>COPYRIGHT: (C)2004,JPO

Description

The present invention relates to an information search method and an information search device for searching for recruitment information for an event and notifying a user of the event.

In recent years, services that can search and browse job information registered in the database using terminals installed in consultation offices and the like have been generally provided to job seekers. In this service, it is possible to perform a search by specifying, for example, a job type, a business type, a wage, a work place, and the like as search conditions. In addition, there is also a service that can search for job information through the Internet.

In such a conventional job information search service, when a search condition specified by a user is received, a matching result of items limited to the search condition is simply output. For this reason, when the specification of the search condition is not appropriate, the number of obtained search results is too large, or the relevant job information is output as zero in many cases. On the other hand, as a technique for obtaining search results closer to the user's desire, synonyms and synonyms of words entered by users, words expressing the same words in katakana, hiragana, etc. are included in search conditions. Search technology called "fuzzy search" is also used.

In addition, when classifying and organizing search results from a large amount of information, information is structured and displayed as an information structured display device that can be structured from various viewpoints and visualized in an easy-to-understand form A structured axis word input means for inputting a word as an axis of a dimension to be changed, a database holding information of structured display target, and displaying from a database using a word inputted by the structured axis word input means as a search word Some include information retrieval means for retrieving information and structured display processing means for displaying retrieved display information as a list arranged along the axis of a dimension for structured display (for example, see Patent Document 1). .).
JP-A-7-288787 (paragraph numbers [0017] to [0047], FIG. 1)

As described above, in the conventional job information search service, when a search is performed using the search conditions input by the user, the number of search results is often too large, or the number of corresponding search results is zero. In such a case, the user himself / herself repeatedly searches for job information close to his / her request while changing the search conditions, which is inefficient. In particular, in the case of new graduates at school, the desire for the type of business or occupation that they want to find a job is vague, and the search conditions are selected from vague conditions. In such a search, for example, in many cases, job information close to hope is not found even though there is actually job information.

従 来 Also, the conventional search technique called "fuzzy search" is one in which the search conditions are relaxed by predetermined rules, and it is insufficient for performing an appropriate search. For this reason, for example, job types and industries that are advantageous to those who are from the same department may be reflected in search results according to the recruiting situation that changes every year, or sensibility such as the image of the job that the job seeker has There is a demand for more efficient search operations by actively outputting search results close to the user's request, such as performing searches using conditions. Further, it is also required to display search results by such a method in a manner that is more easily understood by users.

The present invention has been made in view of such a problem, and has as its object to provide an information search method capable of efficiently searching and outputting recruitment information of an event close to a user's request. .

Another object of the present invention is to provide an information retrieval apparatus capable of efficiently retrieving and outputting event recruitment information close to a user's request.

In the present invention, in order to solve the above-mentioned problem, as shown in FIG. 1, in an information search method for searching for recruitment information for an event and notifying a user, search items for the recruitment information are arranged in a hierarchical structure in a search condition table 12. And stores the recruitment information from the provider in the recruitment information database 11 in association with the search condition table 12 and indicates a desired event tendency for each user classification item for classifying the user. Based on the event tendency information 13 and the event contract result information 14 indicating the contract establishment status for each event between the past user and the provider of the recruitment information for each of the user classification items, The priority of the item is calculated as needed for each of the user classification items, and the search item designated by the user and the user for the user The recruitment information database 11 is searched using the category item as a search condition (step S3). If the corresponding recruitment information is equal to or less than a predetermined number (step S4), the recruitment information database 11 is searched based on the search condition table 12, The recruitment information database 11 is searched again using the above search items as search conditions in the order of higher priority 15 (step S5), and the search result is notified to the user. You.

In such an information search method, first, the recruitment information database 11 is searched using the search item specified by the user and the user classification item for the user as search conditions. At this time, if the corresponding recruitment information is equal to or less than the predetermined number, the other search items in the same hierarchy as the search condition specified by the user are searched in the descending order of the priority 15 based on the search condition table 12. And the recruitment information database 11 is searched again. Since the search condition table 12 holds search items serving as search conditions in a hierarchical structure, the search conditions are relaxed at the time of re-search. Further, the search result by the re-search is notified to the user in the descending order of the priority 15 of the search item.

Here, the priority 15 is a value calculated based on the event tendency information 13 and the event contract result information 14, and by using the priority 15, a user belonging to the same user classification item has desired in the past. The user is notified preferentially of the number of recruitment or recruitment information belonging to the search item for which the number of times the contract was actually concluded is large. For example, when the event information targeted for the recruitment information is recruitment information, the job type to be recruited, the type of business of the recruiting company, and the like are applied as search items. Further, as the user classification item, for example, the department to which the user belongs is applied.

Further, in the present invention, in an information search device for searching for recruitment information for an event and notifying a user of the recruitment information, a search condition table storing search items for the recruitment information in a hierarchical structure; A recruitment information database in which recruitment information is stored in association with the search condition table, event tendency information indicating a tendency of a desired event for each user classification item for classifying the user, and for each of the user classification items The priority of the search items to be searched is determined for each of the user classification items at any time based on event contract performance information indicating the status of contract establishment for each event between the past user and the provider of the recruitment information. Priority calculating means for calculating, and a search condition between the search item specified by the user and the user classification item for the user Then, the recruitment information database is searched, and when the corresponding recruitment information is equal to or less than a predetermined number, the other search items in the same hierarchy based on the search condition table are calculated by the priority calculation means. There is provided an information search device comprising: a search processing unit that searches the recruitment information database again as a search condition in the order of the priority order and notifies the user of the search result.

Here, the search processing means first searches the recruitment information database using the search item designated by the user and the user classification item for the user as search conditions. At this time, if the applicable recruitment information is less than the predetermined number, based on the search condition table, other search items in the same hierarchy as the search condition specified by the user are designated as search conditions in descending order of priority. Then, search the recruitment information database again. Since the search condition table holds search items serving as search conditions in a hierarchical structure, the search conditions are relaxed during re-search. In addition, the search result by the re-search is notified to the user in the descending order of the priority of the search item.

Here, the priority is a value calculated by the priority calculating means based on the event tendency information and the event contract result information, and by using this priority, users belonging to the same user classification item can be used in the past. Recruitment information belonging to a search item having a desired number of times or a number of times a contract has actually been concluded is notified to a user with priority. For example, when the event information targeted for the recruitment information is recruitment information, the job type to be recruited, the type of business of the recruiting company, and the like are applied as search items. Further, as the user classification item, for example, the department to which the user belongs is applied.

According to the information search method of the present invention, the search condition is automatically relaxed, the recruitment information database is searched again in the order of the priority of the search item, and the search result is notified to the user. As a result, it is possible to positively present to the user information about recruitment information for other types of events that the user may be able to contract, types of events that are likely to be contracted, and the like. For example, a user who is seeking a job can be positively presented with other occupations and types of business that can be employed by this user, and employment types and types of business that are likely to be employed. Therefore, useful information is provided to the user, and the possibility that recruitment information close to the user's desire can be obtained with a smaller number of searches increases, thereby improving search efficiency.

Further, in the information search device of the present invention, the recruitment information database is automatically re-searched in the order of the priority of the search item by the process of the search processing means, the search condition is automatically relaxed, and the search result is notified to the user. You. As a result, it is possible to positively present to the user information about recruitment information for other types of events that the user may be able to contract, types of events that are likely to be contracted, and the like. For example, a user who is seeking a job can be positively presented with other occupations and types of business that can be employed by this user, and employment types and types of business that are likely to be employed. Therefore, useful information is provided to the user, and the possibility that recruitment information close to the user's desire can be obtained with a smaller number of searches increases, thereby improving search efficiency.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
FIG. 1 is a principle diagram for explaining the principle of the present invention.
In the following description of FIG. 1, as an example, the present invention is applied to a system in which a server computer 1 and a terminal device 2 are connected via a network (not shown). It is assumed that a service that provides is provided. Note that the present invention can also be realized on a single computer device.

In this service, the server computer 1 receives recruitment information for an event from a provider and accumulates the recruitment information in a recruitment information database (DB) 11, and recruits information according to a search condition input from the terminal device 2 by a user of the service. Search the database 11. Then, the user is notified of the number of hits in the search and a list of recruitment information, or information such as the number of hits when the search conditions are narrowed down or relaxed, and finally one or more recruitment selected by the user The content of the information is provided and the user browses through the terminal device 2.

The following describes the above system, with occasional examples where job information is applied as recruitment information. In this case, the content of one or more recruitment information (recruitment slip) selected by the user is finally provided to the user.

The recruitment information database 11 can be searched by designating search items held in a search condition table 12 described later. Further, in addition to this, a search can be performed using numerical information included in the recruiting information, for example, a salary amount included in the recruiting information as a key.

{Circle around (1)} The server computer 1 holds a search condition table 12, event tendency information 13, and event contract result information 14. The search condition table 12 stores search items for the recruitment information database 11 in a hierarchical structure. As the search items, for example, the job type to be recruited, the type of business of the recruiting company, the place of work, and the like can be applied. Therefore, when the search conditions are relaxed or narrowed down, the search can be performed by referring to the search condition table 12 and extracting the search conditions higher or lower in the hierarchy.

The event tendency information 13 is information indicating a tendency of a desired event for each user classification item for classifying a user, and indicates, for example, a tendency of a job hunting destination for each user classification item. Here, as a user classification item, for example, when a student is targeted as a user, the department to which the user belongs is applied. In the case of general job seekers other than students, the skills of the user (qualifications possessed, occupations / types of business experienced in the past, etc.) are applied.

The event tendency information 13 indicates that one piece of recruitment information has been selected and notified to the past user based on the number of times a past user has designated a search item as a search condition and a search result of the recruitment information database 11. In this case, it is represented by an addition value to the counted number of the search items to which the recruitment information belongs. Therefore, for example, the tendency such as the occupation type and the type of business that the past user of the service has desired as a place of employment is displayed for each user classification item. The event tendency information 13 is updated each time a search is performed by a new user. Specifically, the update is performed at a timing when the search condition is first specified by the user and at a timing when one piece of recruiting information is selected thereafter.

The event contract result information 14 is information indicating the contract establishment status of each event between the past user and the provider of the recruitment information for each user classification item, and when a contract based on the recruitment information is established, the recruitment is performed. It is represented by the counted number of search items to which the information belongs. For example, when employment based on certain job information is determined, search items to which the job information belongs are counted. Therefore, a follow-up survey is conducted for the users who newly use the service, and the event contract result information 14 is updated as needed based on the recruitment information based on which the employment destination is finally determined. It is desirable to continue.

At the time of searching the recruitment information database 11, the priority 15 of the search item to be searched is calculated based on the event tendency information 13 and the event contract result information 14, and the search item is designated based on the priority 15. The priority 15 is calculated, for example, as a value obtained by adding a value obtained by applying a predetermined weight to the value of the event contract result information 14 to the value of the event tendency information 13. Note that the priority 15 may be calculated and held at any time as the event tendency information 13 and the event contract result information 14 are updated.

(4) Next, the processing at the time of providing the service will be described step by step. This service is started when the user accesses the server computer 1 from the terminal device 2 via the network. At this time, for example, an input screen for the search condition is displayed on the terminal device 2.

Here, in step S1, the user specifies a search condition in the terminal device 2, and the search condition is transmitted to the server computer 1. In step S2, the server computer 1 receives the search condition. In step S3, the server computer 1 searches the recruitment information database 11 using the received search condition.

Here, as the search condition, a user classification item to which the user himself belongs (for example, the department to which the user belongs) and a search item to be searched (for example, a desired occupation or business type) are specified. For the search item, basically, the name of the search item held as a hierarchical structure in the search condition table 12 is specified. In this case, the search target becomes wider as the name of the upper hierarchy is specified. In addition, other information such as salary amount can be added as a search condition.

(4) In step S4, it is determined whether or not the number of pieces of recruitment information matching the above search condition is equal to or less than a predetermined number. If the number is equal to or less than the predetermined number, the process proceeds to step S5; otherwise, the process proceeds to step S6. This process is for determining whether or not the number of pieces of recruitment information that matches the search condition from the user is small.

In step S5, since the number of search results is small, the search conditions are relaxed with reference to the search condition table 12, and the recruitment information database 11 is searched again. In this process, first, a search item to be prioritized is determined in advance, and one search item that is not prioritized is designated as a search condition by a hierarchy one level higher, that is, all search items on the original hierarchy. Here, it is conceivable that a large amount of relevant recruiting information is extracted in a search that simply uses the upper hierarchy as a search condition. For this reason, search items on the original hierarchy other than those specified by the user are searched in order from the one with the highest priority 15. At this time, for example, the total number of items to be output is determined in advance, and only the search results for the search items with a high priority 15 are output.

Here, the priority 15 is calculated based on the event tendency information 13 and the event contract result information 14. By using this priority 15, a user belonging to the same user classification item (for example, the department to which the user belongs) wishes in the past, or a search item with a large number of times the contract has been actually determined (for example, it is determined as a place of employment) Recruitment information about the occupation and type of business that has been given) is notified to the user with priority.

(4) The search result obtained by the processing in step S5 is transmitted to the terminal device 2, and the search result is displayed in step S6. Also, when the number of relevant recruiting information is equal to or more than the predetermined number in the process of step S4 described above, the process similarly proceeds to step S6, and the search result is displayed. The information displayed at this time is, for example, a list of the number of search hits for each search item, the name of the provider of the searched recruitment information (for example, the company name of recruitment information), and the like. Here, for example, when the number of search hits is displayed, a list of search results is displayed by selecting a predetermined portion on the screen, or further adding search conditions such as a work place and a salary amount. Or a search with further narrowed search conditions can be performed.

Then, in step S7, by selecting one item from the displayed list of recruiting information, the server computer 1 is requested to be notified of the content of the selected recruiting information. In step S8, in response to a request from the terminal device 2, the server computer 1 extracts the content of one selected recruitment information from the recruitment information database 11 from the search results in the processing in steps S3 and S6. , To the terminal device 2. In step S9, the terminal device 2 receives and displays the transmitted recruitment information, so that the user can browse the recruitment information (for example, a recruitment slip).

By the way, the event trend information 13 is searched according to a request from the user, and the content is updated each time the recruitment information is notified. Specifically, in the process of step S2, the corresponding event tendency information 13 is updated for a search item specified as a search condition from the terminal device 2. In the process of step S8, when one piece of recruitment information is selected from the terminal device 2, the event tendency information 13 corresponding to the search item to which the selected recruitment information belongs is updated. At the time of these updates, only the event tendency information 13 corresponding to the user classification item to which the user belongs is updated.

In the above service provision process, if the number of relevant search results is small in the search using the search conditions specified by the user, the search conditions are automatically relaxed and the search is performed again, and the search results are Notify the user. In this re-search, a search result is notified preferentially for a search item having a high priority 15 based on the event tendency information 13 and the event contract result information 14. As a result, for example, users who are vague about the desired occupation or industry can be positively presented with other occupations or industries that can be employed, and employment or industries that are likely to be employed. In addition, useful information is provided for users who are seeking a job. In addition, the user is more likely to obtain job information close to the user's desire without having to search many times while changing search conditions, thereby improving search efficiency.

検 索 In addition, it is desirable that the search result obtained in the process of step S5 be displayed in an easy-to-understand manner in the process of step S6 in the terminal device 2. Examples of such a display image include the following. In this display image, the first display unit displaying the number of search hits in the search in step S3 and the number of search hits in the re-search in step S5 are displayed closer to the first display unit as the priority 15 is higher. It comprises a plurality of second display units.

In such a display image, the number of search hits according to the search condition specified by the user is displayed on the first display unit, and further, on the second display unit, the number of search hits is close to the search condition by the user. A search result for a search condition (for example, occupation or business type) that is considered to be more advantageous is displayed at a position closer to the first display unit. Therefore, the user can intuitively grasp the occupation type, business type, and the like suitable for the user. Further, in order to further display a list of the searched recruitment information and the like, it is possible to easily transition the screen by selecting the first or second display unit, and the operability is improved.

Next, an embodiment of the present invention will be specifically described using an example in which the present invention is applied to a Web server for performing a job information search service for students, assuming a student as a recruiting target.

FIG. 2 is a diagram illustrating an example of a system configuration according to the embodiment of the present invention.
The job information search system according to the present embodiment includes a job information search server 100 and a plurality of terminal devices 200a, 200b, and 200c, which are connected via the Internet.

The job information search server 100 is a Web server that provides a job information search service to the terminal devices 200a to 200c. The terminal devices 200a to 200c are terminals operated by users (students) who subscribe to the search service provided by the job information search server 100, and are, for example, personal computers. That is, the user can use the job information search service by accessing the website provided by the job information search server 100 through the Internet 300 from any of the terminal devices 200a to 200c.

In addition, a large number of terminal devices connected to the Internet 300 are provided according to the number of users. In addition, a recruiting company computer or the like that registers recruiting information to the recruiting information search server 100 via the Internet 300 may be provided.

FIG. 3 is a diagram illustrating a hardware configuration example of the job information search server 100 used in the embodiment of the present invention.
As shown in FIG. 3, the job information search server 100 includes a CPU (Central Processing Unit) 101, a RAM (Random Access Memory) 102, a HDD (Hard Disk Drive) 103, a graphic processing unit 104, an input I / F (interface). 105 and a communication I / F 106, which are interconnected via a bus 107.

The CPU 101 controls the entire job information search server 100. The RAM 102 temporarily stores at least a part of a program executed by the CPU 101 and various data necessary for processing by the program. The HDD 103 stores an OS (Operating System), application programs, and various data.

The monitor 104a is connected to the graphic processing unit 104. The graphic processing unit 104 displays an image on the screen of the monitor 104a according to a command from the CPU 101. A keyboard 105a and a mouse 105b are connected to the input I / F 105. The input I / F 150 transmits signals from the keyboard 105a and the mouse 105b to the CPU 101 via the bus 107. The communication I / F 106 is connected to the Internet 300, and transmits and receives data to and from another computer via the Internet 300.

処理 With the above hardware configuration, the processing functions of the present embodiment can be realized. Although FIG. 3 shows an example of the hardware configuration of the job information search server 100, the terminal devices 200a to 200c can be realized by a similar hardware configuration.

Next, the processing function of the job information search server 100 will be described.
FIG. 4 is a block diagram showing functions of the job information search server 100.
As shown in FIG. 4, the job information search server 100 includes a Web server unit 110 that performs a process of providing a Web site to the access source terminal devices 200a to 200c, and a search processing unit 120 that performs a job information search process. And a condition candidate setting unit 130 for setting condition candidates when the search condition is relaxed, and an information update processing unit 140 for updating employment tendency information. Also, a recruitment database (hereinafter abbreviated as DB) 100a in which recruitment information is stored, a search condition table 100b in which search conditions are stored in a hierarchical structure, and employment tendency information in which employment tendency information and employment performance information are stored, respectively. It includes a DB 100c and a employment record information DB 100d, and a priority information DB 100e that holds priority information of search items at the time of relaxation of search conditions.

The Web server unit 110 includes a screen generation processing unit 111 and an input data processing unit 112. The screen generation processing unit 111 performs a process of outputting various homepage screens in the job information search service to the terminal devices 200 a to 200 c via the Internet 300 as HTML (Hyper Text Markup Language) data 113. The screen generation processing unit 111 outputs, for example, an input screen for search conditions and the like. When receiving the search result from the search processing unit 120, the search result is incorporated into a homepage screen and output.

The input data processing unit 112 acquires search conditions and selection information input in the terminal devices 200a to 200c for the homepage screen output by the screen generation processing unit 111, and sends these data to the search processing unit 120. Output. Further, when the search condition is first specified by the user and when one job information is selected after the search result list is output, the selected search condition and the selected information of the job information are searched. The information is output to the information update processing unit 140 together with the unit 120.

In addition, the Web server unit 110 is provided with an authentication processing unit and the like for performing user authentication by referring to a user DB (not shown), but is omitted here.
The search processing unit 120 searches the job recruitment DB 100 a using the search conditions received from the input data processing unit 112, extracts relevant job information, and outputs a list thereof to the screen generation processing unit 111. When the selection information is received from the input data processing unit 112, a list of further search results according to the selection or the content of the selected job information is output to the screen generation processing unit 111.

Here, the recruitment DB 100a stores recruitment information registered from the recruiting source company. The search condition table 100b stores search items for job information such as the type of business, the type of job, and the place of employment as a database having a hierarchical structure (tree type structure). Therefore, the recruitment DB 100a has a data structure that allows a search using the items classified in the search condition table 100b as a search key.

When the number of search hits from the user according to the first search condition exceeds a predetermined number, for example, 50, the search processing unit 120 performs a search again according to the narrowing of the search condition by the user. At this time, for example, one search item of a lower hierarchy is extracted with reference to the search condition table 100b, and the user is notified as a selection target item. When the number of hits exceeds a predetermined number, a search may be automatically performed by narrowing down such search conditions with reference to the search condition table 100b, and a search result may be output.

Further, when the number of search hits based on the first search condition is extremely small (for example, when the number of hits is zero), the search processing unit 120 automatically relaxes the search condition and searches the recruitment DB 100a again. At this time, the search condition designated by the user and the department to which the user belongs are output to the condition candidate setting unit 130. Then, the recruitment DB 100a is searched again using the search item set by the condition candidate setting unit 130 according to the information as a search condition.

Based on the information acquired from the search processing unit 120, the condition candidate setting unit 130 calculates, from the priority information DB 100e, a predetermined number of search item candidates that are preferentially used as search conditions for each department to which the user belongs, Notify the search processing unit 120. The information update processing unit 140 updates the contents of the employment tendency information DB 100c using the search condition and the search item based on the selection information supplied from the input data processing unit 112.

Here, the employment tendency information DB 100c counts the number of times a certain job type and business type are specified as search conditions by the user, and counts the job type and business type to which the job information belongs when job information is selected based on the search. Counts are accumulated for each user's department. Therefore, the employment tendency information accumulated therein indicates the tendency of the occupation type and the type of business that the user desires in the past.

The employment performance information DB 100d stores, for each department to which the user belongs, a count value obtained by counting the occupation type and the type of business when the employment is actually determined.
The priority information DB 100e accumulates the priorities of search items (occupations and types of business) used as search conditions when relaxing search conditions for each department. The priority is calculated based on information accumulated in the employment tendency information DB 100c and the employment performance information DB 100d. The information stored in the priority information DB 100e is updated at regular intervals.

Next, data held in the search condition table 100b will be described. The search condition table 100b stores information on the type of job to be recruited, the type of business of the recruiting company, and the place of employment as search items as search conditions for the recruitment DB 100a. These pieces of information have a hierarchical structure. The occupation type and the type of business have a three-stage hierarchical structure of “major classification”, “middle classification”, and “small classification”. In addition, for the place of employment, there is a hierarchical structure such as prefectures, local names (Kanto region, Tokai region, etc.), regions within prefectures (for example, in Tokyo, 23 wards in Tokyo, Tama region, etc.), and municipalities. Given.

Note that the priority of the condition item when the search condition is relaxed in the search processing unit 120 is set for each department to which the user belongs in the priority information DB 100e for the occupation and the type of business. However, for the work place, the priority of the search item within the same hierarchy may be determined in advance in the search condition table 110b. For example, when "Tokyo" is specified as a search condition, by giving higher priority to "Saitama" and "Kanagawa" adjacent to Tokyo, these can be used as search conditions when the search conditions are relaxed. Use preferentially.

Next, specific database structures of the employment tendency information DB 100c, the employment result information DB 100d, and the priority information DB 100e will be described. FIG. 5 is a diagram illustrating a database structure of the employment tendency information DB 100c.

The employment tendency information DB 100c is classified according to the department to which the user belongs. FIG. 5 shows, by way of example, the database structure of the employment tendency information DB 100c for a user whose department belongs to “mechanical engineering”. In the employment tendency information DB 100c, information on occupations and types of business is accumulated on one database structure as a relational database.

で は In the database structure shown in FIG. 5, the vertical axis indicates the type of job and the horizontal axis indicates the type of business. In the example of FIG. 5, as for the occupations, occupation codes composed of three hierarchies of “major classification”, “middle classification”, and “small classification” are shown, and occupation names belonging to “small classification” are indicated for each of these occupation codes. I have. For example, the job code "03" of "major category" indicates "engineer", and the "machine engineer" is further classified by the job code "1" in the lower layer, and the job code "00" is further in the lower layer. "Machine technician" to "plant technician" of job code "40". As for the type of business, only the type of business belonging to “middle classification” and the type of business code (28 to 34) in “middle classification” are shown as an example. Then, the numerical values of the employment tendency information are stored in the cells corresponding to these occupation type names and industry names.

This employment tendency information indicates the number of times that the user has designated the corresponding job posting information based on the search result and the number of times specified as the first search condition by the user. For example, when a user whose department is mechanical engineering specifies “machine tool technician” and “general machinery / equipment manufacturing” as the occupation and industry as the first search conditions, the corresponding cell in FIG. The above numbers are counted up. Also, based on the search results, a similar user selects and browses one piece of job information in which the job type and the type of job to be recruited are “machine tool technician” and “general machinery / equipment manufacturing industry”, respectively. In this case, similarly, the numerical value on the corresponding cell in FIG. 5 is counted up. Therefore, the tendency of the occupation type and the type of business that the past user of the service has hoped for as a place of employment is reflected in the numerical value for each department to which the user belongs.

The employment performance information DB 100d has the same database structure as the employment tendency information DB 100c. In this employment performance information DB 100d, when the employment destination of the user is determined, the numerical value on the cell corresponding to the type of business of the company and the employed job type is counted up. In the employment performance information DB 100d, for example, for a user who has used the present service in the past, information is accumulated by pursuing the employment determination destination.

The numerical values stored in the employment tendency information DB 100c and the employment performance information DB 100d may be obtained by weighting the count value for newer data. For example, the count value based on the information output from the information update processing unit 140 this year is doubled with respect to the accumulated value up to the last year, and is accumulated in the employment tendency information DB 100c. As a result, highly accurate information that largely reflects information on new employment trends and employment results is accumulated.

The priority information DB 100e also has the same database structure as the employment tendency information DB 100c and the employment performance information DB 100d. The priority information DB 100e, based on the information accumulated in the employment tendency information DB 100c and the employment performance information DB 100d, determines the priority of a search item (occupation type and industry) as a search condition when relaxing the search condition for each user's department. To accumulate. Specifically, a value obtained by adding a certain weight to the employment performance information stored in the employment performance information DB 100d is added to the numerical value of the employment trend information stored in the employment trend information DB 100c, and the result is added to the priority information DB 100e. Store.

Here, the employment tendency information is considered to be information accumulated for the purpose of, for example, introducing the user to the employment of students and graduates belonging to the same department as the user and seeking reference. On the other hand, employment performance information is information that indicates the number of occupations and types of businesses that were actually determined as employment by graduates of the same department, and is extremely accurate because it is fact-based information. It is considered to be important for the user. Therefore, by weighting the employment performance information, the difference in the importance of the accumulated information is reflected, and the accuracy of the information can be improved.

The update of the priority information DB 100e is performed at regular intervals such as every 24 hours, for example, which corresponds to the update of the employment tendency information DB 100c and the employment performance information DB 100d.

Next, the processing at the time of providing the service in the job information search server 100 will be described step by step. FIG. 6 is a flowchart showing a flow of the entire processing of the job information search server 100 when the service is provided to the user.

First, the job information search server 100 outputs initial screen data for providing a service to the terminal device of the access source by the screen generation processing unit 111 of the Web server unit 110, and checks the user ID, password, and the like. Is performed, screen data for inputting search conditions is output.

In step S601, the input data processing unit 112 of the Web server unit 110 receives the search condition input by the user. In this process, information on the search items (job type, business type, place of employment, salary, etc.) specified by the user and information on the department to which the user belongs are received and output to the search processing unit 120 and the information update processing unit 140. . In the user's search condition designation screen on the terminal device, for example, the name of the search item held in the search condition table 110b or the like is displayed on a pop-up screen or the like to allow the user to select. Alternatively, an arbitrary keyword may be input by the user. Furthermore, an arbitrary keyword may be associated with the name of a search item using an ambiguous search or the like on the job information search server 100 side and used as a search condition.

In step S602, the information update processing unit 140 counts up the value of the corresponding employment tendency information stored in the employment tendency information DB 100c based on the information provided from the input data processing unit 112.

In step S603, the search processing unit 120 searches the recruitment DB 100a using search conditions from the user. In step S604, it is determined whether or not the number of hits in the search is 0. If it is 0, the process proceeds to step S605, and if it is not 0, the process proceeds to step S606.

In step S605, the search processing unit 120 executes a search condition relaxation process for relaxing the search condition specified by the user and re-searching the job recruitment DB 100a. After this processing ends, the flow proceeds to step S608. The search condition relaxing process will be described in detail with reference to FIG.

In step S606, it is determined whether or not the number of hits in the search in step S603 exceeds 50, and if so, the process proceeds to step S607; otherwise, the process proceeds to step S608.

In step S607, since the number of hits in the search is too large, the search processing unit 120 executes a search condition narrowing process of narrowing the search conditions and re-searching the job DB 100a. This search condition narrowing process is performed, for example, as follows.

First, the search processing unit 120 refers to the search condition table 110b, extracts a search item of a lower hierarchy from the search item specified by the user, outputs the extracted search item to the screen generation processing unit 111, Let the device transmit. In the terminal device, the user further selects a desired item from these search items. The recruitment information search server 100 searches the recruitment DB 100a again using the search item selected by the user. The above processing is repeated until the number of hits becomes 100 or less, and thereafter, the process proceeds to step S608.

In step S608, a list of search results is output to the terminal device. In this processing, the list information of the job information searched by the search processing in steps S603, S605, and S607 is output from the search processing unit 120 to the screen generation processing unit 111 of the Web server unit 110. Then, the screen generation processing unit 111 incorporates the received information into the corresponding HTML data 113 and outputs the information to the access source terminal device.

The list information transmitted at this time includes, for example, the recruiting source company name of the hit recruiting information, as well as information such as the type of business and the type of job being recruited. Then, the user selects an arbitrary one from the list of job information displayed on the terminal device. Accordingly, in step S609, the job information search server 100 receives the selection information from the terminal device. Then, the search processing unit 120 extracts the selected job information from the job recruitment DB 100a and outputs the job information to the screen generation processing unit 111, and the screen generation processing unit 111 generates a screen for a job recruitment slip and transmits it to the terminal device.

In step S610, the corresponding employment tendency information in the employment tendency information DB 100c is counted up based on the occupation type, the type of business to which the job information selected in step S609 belongs, and the department to which the user belongs.

In step S611, it is determined whether or not other job information is to be selected based on a request signal from the user. When the user issues a request to select, the process returns to step S608 to output a list of search results again, and thereafter outputs other job information selected by the user and updates the employment tendency information DB 110c. If no other job information is selected, the process ends.

Next, FIG. 7 is a flowchart showing the flow of the search condition relaxing process shown in step S605 of FIG.
In step S701, a condition candidate setting process for setting a candidate for a condition item when the search condition is relaxed is executed. This process is started when the search processing unit 120 transfers the search condition and the information of the department to which the user belongs to the condition candidate setting unit 130. Then, the condition candidate setting unit 130 sets a candidate for the condition item and passes it to the search processing unit 120. The condition candidate setting process will be described in detail with reference to FIG.

In step S702, the search processing unit 120 searches the recruitment DB 100a using the set condition items. In step S703, it is determined whether the number of hits in the search is 0. If the value is 0, the process returns to step S701 to search for another condition item on the same level, or to perform another search with another condition item (for example, from occupation to business type) relaxed. If the number of hits is not 0, the process proceeds to step S704.

に お い て In step S704, the search result obtained by the search in step S702 is output. In this process, the search result is output from the search processing unit 120 to the screen generation processing unit 111, and image information incorporating the search result is transmitted to the terminal device.

情報 Information specifically presented to the user in this process includes, for example, a search item newly set due to relaxed conditions, the number of job information hit by this search item, and the like. In this processing, since the recruitment information search server 100 automatically reduces the search conditions and executes the search result, which is presented to the user, the information such as the search items and the number of hits is provided by the user. It is necessary to divide the information into information corresponding to the information, information recommended by the service provider, and the like, and to display the information in an easily understandable manner. The screen at this time is exemplified in FIGS. 9 and 11 described later.

In step S <b> 705, the search processing unit 120 receives, via the input data processing unit 112, selection information corresponding to the user's selection on the terminal device with respect to the output information. For example, when the user clicks and inputs the display of the number of hits searched for a certain occupation and industry, this selection information is transmitted to the job information search server 100.

In step S706, the search processing unit 120 determines whether the selected search item (including the occupation type, the type of business, and the place of employment) belongs to the small category, that is, whether the selected search item belongs to the lowest hierarchy. judge. In this process, when it is set in advance which search item is to be searched with priority, it is determined whether the search item prioritized in the steps up to this process belongs to the lowest hierarchy. For example, if a search was performed with priority given to occupations among occupations / industries, the conditions for occupations were not changed by the processing up to this point, but if there were more than a certain number of hits at this point, Further, by refining and retrieving the condition of the job type, it is possible to notify the presence status of more detailed job information.

Therefore, in step S706, if the priority search item is a small classification, the process proceeds to step S608 in FIG. 6 to output a list of search results. If it is not a small classification, the process proceeds to step S707.

In step S707, the search processing unit 120 divides the search item targeted in step S706. Specifically, with reference to the search condition table 110b, a search item of a lower hierarchy than the above search item is extracted. In step S708, the search processing unit 120 searches the recruitment DB 100a again using the subdivided search items. Then, the process returns to step S704 to output the search result again.

Next, FIG. 8 is a flowchart showing the flow of the condition candidate setting process shown in step S701 of FIG. The following processing is executed by the condition candidate setting unit 130.
As described above, in the priority information DB 100e, the number of priority points corresponding to each item of occupation and type of business is stored as a relational database for each department. With such a data storage method, it is possible to easily scan cells according to changes in items and hierarchies of occupations and types of business as described below.

In step S801, the position of the corresponding search item in the priority information DB 100e is set based on the information output from the search processing unit 120. Here, the search processing unit 120 outputs information on the job type and business type specified by the user and information on the department to which the user belongs. The condition candidate setting unit 130 extracts the table of the corresponding department in the priority information DB 100e, and adjusts the position to the cell of the corresponding occupation and industry in this table.

In step S802, for one of the specified search items, another search item on the same level as the specified search item is scanned. For example, if the job type search is performed, the cell of the other business type code in the same classification as the specified business type is scanned without changing the job type designation.

In step S803, it is determined whether or not there is a point indicating the priority in the scanned cell. If so, the process proceeds to step S806; otherwise, the process proceeds to step S804.
In step S804, the target search item is changed and the table of the corresponding department is scanned again. For example, if the job type search is being performed, no job information matching the specified job type is found in step S802. Therefore, in step S804, a higher-level search item is specified for the job type. The cell on the table corresponding to this job type and the type of business used in step S802 is scanned.

に お い て In step S805, it is determined whether or not the scanned cell has a point. If there is, the process proceeds to step S806. If there is no point, the process returns to step S804, and the scan is repeated again using the target search item of a higher hierarchy.

(4) In step S806, among the cells in which points existed by the scan in step S802 or step S804, search items corresponding to points in descending order of points are set as search conditions. For example, if the condition of the type of business has been relaxed (the process of setting another type of business in the same hierarchy) in step S802, a predetermined number of types of businesses having the highest points are extracted from the scan result in order and set as search conditions. I do. Then, this business type is output to the search processing unit 120.

By the processing of FIG. 8, for example, when a search with a job type priority is being performed, a predetermined number of high-priority industries among other industries in the same hierarchy as the industry specified by the user are searched. The recruitment DB 100a is re-searched using the received business category as a search condition. Here, the priority is information based on the trend of the type of business where past users of the same department belong to the past, and the type of business where the job was decided, so the newly set type of business is It can be said that it is an industry that can be recommended as an industry that can become a user's employment and that it is highly likely to be adopted.

Thus, this service allows users who are vague about their employment to actively propose and recommend industries and occupations that are deemed useful. Further, since useful recruiting information close to the user's desire is extracted without the user changing the search condition many times for the search, the search efficiency is improved. For example, in the past, although there was job information close to the request, there were many cases where the job could not be extracted because the specification of the search condition was not appropriate. It can be extracted and provided without leaking from. This is preferable for the recruitment information provider side, because the information that has been buried in the past is easily provided to the user.

In the above processing example, a search item with a high priority is extracted only when the search condition is relaxed. However, priority information can be used in a search in which the search condition is narrowed down. For example, if occupation type priority is specified and an industry name that belongs to the large or medium category is specified as a search condition, those with lower priority than the specified industry name will be automatically selected. It extracts and performs a search using this business type, and notifies the search result. As a result, when the search range is wide, it is possible to provide job information more suitable for the user within the range.

Next, a screen display example displayed on the terminal device by the present service will be described. First, FIG. 9 is a diagram illustrating a screen display example of a search result when a search with relaxed search conditions is performed.
FIG. 9 shows a screen display example corresponding to the processing result of step S704 in FIG. In this screen, if the relevant job information is 0 in the search based on the search conditions specified by the user, this is notified, and the search results obtained by relaxing the search conditions are sent to the user. Notify.

に お い て In FIG. 9, the display units 210 and 220 simultaneously show the search results performed with priority given to the type of business and priority given to the type of job. That is, in FIG. 7, the processing result is obtained based on the case where both the processing in the case where the priority is given to the business type and the processing in which the job type is given priority In FIG. 9, the department to which the user belongs is “Telecommunications Engineering”, and “Manufacturing”, “Telecommunications Engineer”, and “Minato-ku, Tokyo” are designated for the type of industry, occupation, and place of employment, respectively. Further, the search item names extracted by relaxing the conditions for the occupation and the type of business are shown in the item display section 230.

(4) In the display unit 210, the type of business used as the search condition is fixed as the manufacturing industry, and the condition for the job type is relaxed. The number of hits on the job recruitment DB 100a for each job type is shown in the number display unit 211. The number-of-hits display unit 211 displays the number of hits classified by symbols. “-” Indicates 0 hits, “Δ” indicates 1 to 10, “○” indicates 11 to 50, and “◎”. Indicates that the number exceeds 50.

Here, the search result based on the condition specified by the user is stored in the upper left cell of the number display unit 211. This cell indicates that the number of hits is 0, and accordingly, a search in which the conditions of the occupations are relaxed is performed. Note that only this cell may be made to be easily identified by being set to a different color from other cells.

In this example, in addition to the “telecommunications technician” designated by the user, the names of the occupations belonging to the same hierarchy are displayed in the item display section 230 in the order of the highest priority from the top four items. Here, since “telecommunications technician” belonging to the minor category is designated as the desired occupation, the occupation name belonging to the minor category is described in the item display section 230. Further, in the number-of-cases display section 211, conditions for not only the type of job but also the place of work are relaxed. That is, in addition to the “Minato Ward” designated by the user, each nearby Ward is extracted as a high priority area, and the corresponding hit count is indicated.

The structure of the display unit 220 is the same as that of the display unit 210. In this display unit 220, the search result in the case of job type priority is shown. Here, "manufacturing industry" belonging to the large category is specified by the user, and the search range is wide. Are displayed in the item display section 230, and the number of hits for these items is displayed in the number display section 221. In the item display section 230 in the display section 220, the business names having the highest priority are indicated in order from the priority information DB 100e.

Here, when selection is performed on each cell in the display units 210 and 220 by a click operation or the like, the following screen transition is performed. In the case number display sections 211 and 221, when a cell in which the number of cases is indicated by "-" is selected, a job type or business type having a higher priority other than the corresponding job type or business type is selected as the recommended business type or job type. Display in order of priority. When the cell “△” or “○” is selected, a list of relevant job information is displayed (corresponding to step S608 in FIG. 6).

Further, when the cell of “◎” is selected, the search condition is further narrowed down and the search result is displayed. For example, in the case of the display unit 210, a search is performed using a lower hierarchy item for an industry whose conditions are fixed, or by using search items other than the occupation type, the industry, and the place of employment. In addition, in the case of the display unit 220, a search that further subdivides the type of business is performed, and the search result is displayed.

If the displayed industry name or occupation name does not belong to the lowest level, you can select the display of these industry names or occupation names to search using lower level search items. It is.

Next, FIG. 10 is a diagram illustrating a screen display example of a search result when a search is performed with search conditions narrowed down.
The screen illustrated in FIG. 10 has basically the same configuration as the screen illustrated in FIG. 9, and the search results based on the type of business and the search results based on the type of job are displayed on the display units 240 and 250, respectively. Also, the search items (occupation and business type) used for the search are displayed on the item display section 260.

Here, in the display unit 240 displaying the search results with priority given to the type of business, the number of search hits according to the search conditions specified by the user is displayed in the cell at the upper left corner of the number display unit 241, and the number of hits is 50 Is over. Therefore, by selecting this cell, a search in which the search conditions are further subdivided is performed, and the search result is displayed. For example, the business type is searched using lower-level items.

In the screen display examples shown in FIGS. 9 and 10 described above, in the item display sections 230 and 260, in addition to the search items specified by the user, the search items recommended by the service provider side are displayed in the descending order of priority. In addition, it is possible to proactively propose occupations and business types suitable for users. Also, by displaying the number of search hits classified by other search items (working area in the above example) together with these search items, a large amount of information can be presented on the screen.

に 対 し て On the other hand, there may be a method of limiting the information to be displayed and displaying the proposal of the occupation and the type of business based on the priority, which is a feature of this service, in an easy-to-understand manner. Hereinafter, such a screen display example will be described.

FIG. 11 is a diagram illustrating an example of a screen display when the search result is graphically displayed.
In the screen of FIG. 11, the display sections 271, 272, 273, 274, and 275 display search items (here, job titles) specified as search conditions and the number of search hits according to the search conditions. Among them, the display unit 271 is arranged on the leftmost side, and corresponds to the search condition specified first by the user.

{Circle around (2)} The display units 272 to 275 are arranged inside a display range 280 for displaying the job type recommended by the service provider. Therefore, within the display range 280, a search result when the search condition is relaxed is shown. Furthermore, the shorter the length of the straight line connecting the display units 272 to 275 and the display unit 271, the higher the priority of the job shown in the display units 272 to 275.

That is, in the screen of FIG. 11, a search result based on a condition desired by the user is displayed on the leftmost side of the screen, and in the display range 280 on the right side, the closer to the display unit 271, the higher the priority. Is displayed, and information strongly recommended to the user can be easily identified. In this display, it can be said that the image is such that the status of the recruitment market to be searched can be easily grasped.

In addition, in these display units 271 to 275, by changing the background color, area, character, and the like according to the number of search hits and displaying them, it is possible to easily identify the difference in the number of search hits in addition to the above. Further, by selecting these display units 271 to 275, a list of searched job information, a search result when search conditions are further narrowed down, and the like may be displayed. As described above, the screen of FIG. 11 not only can display information in a visually comprehensible manner than the screens of FIGS. 9 and 10, but also greatly improves the operability for transitioning to the next screen.

In the above description of the embodiment, the employment tendency information DB 100c, the employment performance information DB 100d, and the priority information DB 100e are configured based on the occupation type and the count number of the type of business, but other information for classifying job information is used. May be used. For example, information such as the place of work, salary, degree of well-being, the degree of workability such as work environment, and the characteristics of the place of work (whether it is a downtown area or a suburb, etc.) are searched as a hierarchical structure. The information is registered in the condition table 110b, and the information is counted in the employment tendency information DB 100c and the employment performance information DB 100d, and stored as a relational database or the like. As a result, it is possible to increase the number of choices of the search condition when the search condition is relaxed or the like, and to propose detailed job information.

The above processing functions can be realized by a server computer of a client server system. In this case, a server program describing the processing content of the function that the job information search server 100 should have is provided. The server computer executes the server program in response to a request from the client computer. Thereby, the above processing functions are realized on the server computer, and the processing results are provided to the client computer.

サ ー バ The server program describing the processing content can be recorded on a recording medium readable by the server computer. Recording media readable by the server computer include a magnetic recording device, an optical disk, a magneto-optical recording medium, and a semiconductor memory. The magnetic recording device includes a hard disk device (HDD), a flexible disk (FD), a magnetic tape, and the like. The optical disk includes a DVD (Digital Versatile Disk), a DVD-RAM (Random Access Memory), a CD-ROM (Compact Disk Read Only Memory), a CD-R (Recordable) / RW (ReWritable), and the like. The magneto-optical recording medium includes an MO (Magneto-Optical disk) and the like.

When distributing the server program, for example, portable recording media such as DVDs and CD-ROMs on which the server program is recorded are sold.
The server computer that executes the server program stores, for example, the server program recorded on a portable recording medium in its own storage device. Then, the server computer reads the server program from its own storage device and executes processing according to the server program. The server computer can also read the server program directly from the portable recording medium and execute processing according to the server program.

Further, in the above embodiment, recruitment information is targeted for recruitment information, but the present invention is not limited to this and can be applied to other fields.
As an example, the present invention can be applied to a case where a property for sale or a property for rent is a target event. For example, when a real estate agent presents a property for sale to a purchaser when buying or selling a house, the address of the property, the price range of the property, the house type, the number of rooms, etc. are hierarchically structured as search conditions and stored in a database. Remember. If there is no property that matches the area or price range desired by the purchaser first, a search of the upper hierarchy is performed, and a property whose price range or area is close to the desired one, the house type, the number of rooms, the environment It is possible to present properties similar to each other in the order in which the conditions are similar.

In addition to the properties for sale, the same processing is possible for rental properties. Further, even when a complex condition search based on an address, a price range, a house type, the number of rooms, and the like is performed, by presenting in order of priority, it is possible to present a property closer to the needs of a purchase / renter. . Therefore, it is possible to present purchase / rent lease applicants with not only properties that perfectly match the needs, but also properties that can be purchased / rented and that are closer to their needs. While improving convenience, real estate agents who provide information can expect to increase the closing rate.

The present invention can also be applied to, for example, tour information provided by a travel agency as a target event. When a travel agency presents several tours to a user, search conditions such as a destination (region), the number of days, and the purpose of the trip (hill climbing, walking in an ancient city, a beach resort, etc.) are hierarchically stored in a database. Keep it. Then, the search is performed, and if there is no tour desired by the user first, the search is performed in the upper hierarchy of each condition, and tour information having similar desired conditions is presented in the order of similar conditions. It becomes possible. Also in this case, if the search can be performed based on a complex condition such as a tour price range, the search can be performed under a condition closer to the needs of the user.

The present invention can also be applied to a case where a sold car is set as a target event. For example, since a used car property is liquid, a desired used car may not be able to be purchased when a user searches for a used car. In consideration of such points, the vehicle type is hierarchically structured for each field (wagon vehicle, sport type, etc.) and stored in the database, and when the user searches for the desired vehicle type, if the vehicle type does not exist, , To search the upper hierarchy. As a result, it is possible to present a used car that is close to the field of the desired car type from the used cars currently on sale.

Also, at the time of selling a new car, for example, if a user who wants a car not handled by the sales company appears, easily present a car with the same function from the cars handled by the company. Becomes possible. Furthermore, if the search conditions include not only the field but also the displacement, the performance, the model year, and the like as the compound condition, it is possible to present a car that is closer to the needs of the purchaser.

(Supplementary Note 1) In an information search method of searching for recruitment information for an event and notifying a user,
Search items for the recruitment information are stored in a search condition table as a hierarchical structure, and the recruitment information from a provider is stored in a recruitment information database in association with the search condition table,
Event trend information indicating a tendency of a desired event for each user classification item for classifying the user, and a contract for each event between a past user and a provider of the recruitment information for each user classification item Based on the event contract performance information indicating the establishment status, the priority of the search item to be searched is calculated as needed for each of the user classification items,
The recruitment information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and when the corresponding recruitment information is a predetermined number or less, the search is performed. Re-search the recruitment information database as a search condition in the order of the priority of the other search items in the same hierarchy based on a condition table, and notify the user of the search result.
An information retrieval method characterized in that:

(Supplementary Note 2) The event tendency information may include one recruitment information based on the number of times a past user has designated a search item as a search condition and a recruitment information based on a search result of the recruitment information database. It is represented by an addition value with the count number that counted the search item to which the recruitment information belongs when selected and notified,
The event contract result information is represented by a count number of the search item to which the recruitment information belongs when an event contract based on the recruitment information is established,
3. The information search method according to claim 2, wherein the priority is calculated as an added value of a value of the event tendency information and a value obtained by applying a predetermined weight to the value of the event contract result information.

(Supplementary note 3) The information search method according to supplementary note 2, wherein upon receiving the search condition from the user, the event tendency information corresponding to the designated search item is updated.
(Supplementary Note 4) When one piece of the recruitment information is selected by the user based on a search of the recruitment information database in response to a request from the user, the search item to which the selected recruitment information belongs 3. The information search method according to claim 2, wherein the event tendency information corresponding to the information is updated.

(Supplementary Note 5) The recruitment information search method according to Supplementary Note 1, wherein a search result by re-searching the recruitment information database is notified about a predetermined number of the search items in descending order of the priority.

(Supplementary Note 6) The search result of the recruitment information database includes a first display unit displaying the number of search hits based on the search condition specified by the user, and a search result for each of the search items based on the re-search of the recruitment database. The image forming apparatus according to claim 1, wherein the number of search hits is notified to the user as image information including a plurality of second display units displayed closer to the first display unit as the priority is higher. Information retrieval method.

(Supplementary Note 7) {Notify the user of a list of the recruitment information searched or a search result when search conditions are further narrowed down in accordance with the user's selection on the first and second display units. 6. The recruitment information search method according to claim 6, further comprising:

(Supplementary Note 8) The information search method according to Supplementary Note 1, wherein the recruitment information is recruitment information, and the event contract result information is information indicating a employment decision status.
(Supplementary Note 9) The recruitment information search method according to Supplementary Note 8, wherein the search items include a job type to be recruited and a business type of a recruiting company.

(Supplementary note 10) The recruitment information search method according to supplementary note 8, wherein the user classification item includes a department to which the user belongs.
(Supplementary Note 11) The event information that is a target of the recruitment information is property information of a rental house or a house for sale, and the event contract result information is information indicating a status of renting or selling a house. The information retrieval method described in Supplementary Note 1.

(Supplementary Note 12) The information search method according to Supplementary Note 1, wherein the event information targeted for the recruitment information is tour information, and the event contract result information is information indicating a tour contract determination status.

(Supplementary Note 13) The supplementary note 1, wherein the event information that is the target of the recruitment information is car sales information, and the event contract result information is information indicating a decision state of a car sales contract. Information retrieval method.

(Supplementary Note 14) In an information search method of searching for recruitment information for an event and notifying a user,
Search items for the recruitment information are stored in a search condition table as a hierarchical structure, and the recruitment information from a provider is stored in a recruitment information database in association with the search condition table,
Based on event tendency information indicating a tendency of a desired event for each user classification item for classifying the user, the priority of the search item to be searched is calculated as needed for each of the user classification items,
The recruitment information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and when the corresponding recruitment information is a predetermined number or less, the search is performed. Re-search the recruitment information database as a search condition in the order of the priority of the other search items in the same hierarchy based on a condition table, and notify the user of the search result.
An information retrieval method characterized in that:

(Supplementary Note 15) In an information search method of searching for recruitment information for an event and notifying a user,
Search items for the recruitment information are stored in a search condition table as a hierarchical structure, and the recruitment information from a provider is stored in a recruitment information database in association with the search condition table,
For each user classification item for classifying the user, based on the event contract performance information indicating the contract establishment status for each event between the past user and the provider of the recruitment information, the search as a search target The priority of the item is calculated as needed for each of the user classification items,
The recruitment information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and when the corresponding recruitment information is a predetermined number or less, the search is performed. Re-search the recruitment information database as a search condition in the order of the priority of the other search items in the same hierarchy based on a condition table, and notify the user of the search result.
An information retrieval method characterized in that:

(Supplementary Note 16) In an information search device that searches for recruitment information for an event and notifies a user,
A search condition table storing search items for the recruitment information as a hierarchical structure,
A recruitment information database that stores the recruitment information from a provider of the recruitment information in association with the search condition table;
Event trend information indicating a tendency of a desired event for each user classification item for classifying the user, and a contract for each event between a past user and a provider of the recruitment information for each user classification item Priority calculating means for calculating, at any time, the priority of the search item to be searched for each of the user classification items based on the event contract result information indicating the establishment status;
The recruitment information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and when the corresponding recruitment information is a predetermined number or less, the search is performed. The recruitment information database is re-searched as another search item of the same hierarchy based on a condition table in the descending order of the priority calculated by the priority calculation means as a search condition, and the search result is notified to the user. Search processing means to
An information retrieval device, comprising:

(Supplementary Note 17) In an information search device that searches for recruitment information for an event and notifies the user,
A search condition table storing search items for the recruitment information as a hierarchical structure,
A recruitment information database that stores the recruitment information from a provider of the recruitment information in association with the search condition table;
Priority for calculating the priority of the search item to be searched for at any time for each user classification item based on event tendency information indicating the tendency of a desired event for each user classification item for classifying the user Degree calculating means;
The recruitment information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and when the corresponding recruitment information is a predetermined number or less, the search is performed. The recruitment information database is re-searched as another search item of the same hierarchy based on a condition table in the descending order of the priority calculated by the priority calculation means as a search condition, and the search result is notified to the user. Search processing means to
An information retrieval device, comprising:

(Supplementary Note 18) In an information search device that searches for recruitment information for an event and notifies the user,
A search condition table storing search items for the recruitment information as a hierarchical structure,
A recruitment information database that stores the recruitment information from a provider of the recruitment information in association with the search condition table;
For each user classification item for classifying the user, based on event contract performance information indicating the contract establishment status for each event between past users and the provider of the recruitment information, the search target Priority calculating means for calculating a priority of a search item as needed for each of the user classification items;
The recruitment information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and when the corresponding recruitment information is a predetermined number or less, the search is performed. The recruitment information database is re-searched as another search item of the same hierarchy based on a condition table in the descending order of the priority calculated by the priority calculation means as a search condition, and the search result is notified to the user. Search processing means to
An information retrieval device, comprising:

(Supplementary Note 19) A search condition table storing search items for recruitment information for an event in a hierarchical structure, and a recruitment information database storing the recruitment information from the provider of the recruitment information in association with the search condition table are stored. An information search program that causes the computer to execute a process of searching for the recruitment information and notifying a user of the information.
Said computer,
Event trend information indicating a tendency of a desired event for each user classification item for classifying the user, and a contract for each event between a past user and a provider of the recruitment information for each user classification item Priority calculating means for calculating the priority of the search item to be searched as needed for each of the user classification items based on the event contract result information indicating the establishment status;
The recruitment information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and when the corresponding recruitment information is a predetermined number or less, the search is performed. The recruitment information database is re-searched as another search item of the same hierarchy based on a condition table in the descending order of the priority calculated by the priority calculation means as a search condition, and the search result is notified to the user. Search processing means,
An information retrieval program characterized by functioning as a computer.

(Supplementary Note 20) A search condition table storing search items for recruitment information for events in a hierarchical structure, and a recruitment information database storing the recruitment information from the provider of the recruitment information in association with the search condition table are stored. An information search program that causes the computer to execute a process of searching for the recruitment information and notifying a user of the information.
Said computer,
Priority for calculating the priority of the search item to be searched for at any time for each user classification item based on event tendency information indicating the tendency of a desired event for each user classification item for classifying the user Degree calculation means,
The recruitment information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and when the corresponding recruitment information is a predetermined number or less, the search is performed. The recruitment information database is re-searched as another search item of the same hierarchy based on a condition table in the descending order of the priority calculated by the priority calculation means as a search condition, and the search result is notified to the user. Search processing means,
An information retrieval program characterized by functioning as a computer.

(Supplementary Note 21) A search condition table storing search items for recruitment information for events in a hierarchical structure, and a recruitment information database storing the recruitment information from the provider of the recruitment information in association with the search condition table are stored. An information search program that causes the computer to execute a process of searching for the recruitment information and notifying a user of the information.
Said computer,
For each user classification item for classifying the user, based on event contract performance information indicating the contract establishment status for each event between past users and the provider of the recruitment information, the search target Priority calculating means for calculating the priority of the search item as needed for each of the user classification items;
The recruitment information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and when the corresponding recruitment information is a predetermined number or less, the search is performed. The recruitment information database is re-searched as another search item of the same hierarchy based on a condition table in the descending order of the priority calculated by the priority calculation means as a search condition, and the search result is notified to the user. Search processing means,
An information retrieval program characterized by functioning as a computer.

It is a principle figure for explaining the principle of the present invention. FIG. 1 is a diagram illustrating an example of a system configuration according to an embodiment of the present invention. FIG. 3 is a diagram illustrating a hardware configuration example of a job information search server used in the embodiment of the present invention. It is a block diagram showing the function of the job information search server. It is a figure showing the database structure of employment tendency information DB. It is a flowchart which shows the flow of the whole processing of the job information search server at the time of providing a service to a user. It is a flowchart which shows the flow of search condition relaxation processing. It is a flowchart which shows the flow of a condition candidate setting process. It is a figure showing the example of a screen display of a search result at the time of search having eased search conditions. FIG. 9 is a diagram illustrating a screen display example of a search result when a search is performed with search conditions narrowed down. It is a figure showing the example of a screen display at the time of displaying a search result graphically.

Explanation of reference numerals

DESCRIPTION OF SYMBOLS 1 Server computer 2 Terminal device 11 Recruitment information database 12 Search condition table 13 Event trend information 14 Event contract result information 15 Priority

Claims (10)

In the information search method of searching for recruitment information for events and notifying users,
Search items for the recruitment information are stored in a search condition table as a hierarchical structure, and the recruitment information from a provider is stored in a recruitment information database in association with the search condition table,
Event trend information indicating a tendency of a desired event for each user classification item for classifying the user, and a contract for each event between a past user and a provider of the recruitment information for each user classification item Based on the event contract performance information indicating the establishment status, the priority of the search item to be searched is calculated as needed for each of the user classification items,
The recruitment information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and when the corresponding recruitment information is a predetermined number or less, the search is performed. Re-search the recruitment information database as a search condition in the order of the priority of the other search items in the same hierarchy based on a condition table, and notify the user of the search result.
An information retrieval method characterized in that: The event tendency information is obtained by selecting one recruitment information for the past user based on the number of times a past user has specified as a search condition for a certain search item and a search result of the recruitment information database. When notified, the recruitment information is represented by an added value with the count number of the search item to which the recruitment information belongs,
The event contract result information is represented by a count number of the search item to which the recruitment information belongs when an event contract based on the recruitment information is established,
3. The information search method according to claim 2, wherein the priority is calculated as an added value of a value of the event tendency information and a value obtained by applying a predetermined weight to the value of the event contract result information. When one piece of the recruitment information is selected by the user based on a search of the recruitment information database in response to a request from the user, the one corresponding to the search item to which the selected recruitment information belongs 3. The information search method according to claim 2, wherein the event tendency information is updated. 2. The information search method according to claim 1, wherein the recruitment information is recruitment information, and the event contract result information is information indicating a employment decision status. The event information targeted for the recruitment information is property information of a rental house or a house for sale, and the event contract result information is information indicating a status of rent or sale of a house. 1. The information retrieval method described in 1. 2. The information search method according to claim 1, wherein the event information targeted for the recruitment information is tour information, and the event contract result information is information indicating a tour contract determination status. 2. The information search method according to claim 1, wherein the event information targeted for the recruitment information is car sales information, and the event contract result information is information indicating a decision status of a car sales contract. . In the information search method of searching for recruitment information for events and notifying users,
Search items for the recruitment information are stored in a search condition table as a hierarchical structure, and the recruitment information from a provider is stored in a recruitment information database in association with the search condition table,
Based on event tendency information indicating a tendency of a desired event for each user classification item for classifying the user, the priority of the search item to be searched is calculated as needed for each of the user classification items,
The recruitment information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and when the corresponding recruitment information is a predetermined number or less, the search is performed. Re-search the recruitment information database as a search condition in the order of the priority of the other search items in the same hierarchy based on a condition table, and notify the user of the search result.
An information retrieval method characterized in that: In the information search method of searching for recruitment information for events and notifying users,
Search items for the recruitment information are stored in a search condition table as a hierarchical structure, and the recruitment information from a provider is stored in a recruitment information database in association with the search condition table,
For each user classification item for classifying the user, based on the event contract performance information indicating the contract establishment status for each event between the past user and the provider of the recruitment information, the search as a search target The priority of the item is calculated as needed for each of the user classification items,
The recruitment information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and when the corresponding recruitment information is a predetermined number or less, the search is performed. Re-search the recruitment information database as a search condition in the order of the priority of the other search items in the same hierarchy based on a condition table, and notify the user of the search result.
An information retrieval method characterized in that: In an information search device that searches for recruitment information for an event and notifies the user,
A search condition table storing search items for the recruitment information as a hierarchical structure,
A recruitment information database that stores the recruitment information from a provider of the recruitment information in association with the search condition table;
Event trend information indicating a tendency of a desired event for each user classification item for classifying the user, and a contract for each event between a past user and a provider of the recruitment information for each user classification item Priority calculating means for calculating, at any time, the priority of the search item to be searched for each of the user classification items based on the event contract result information indicating the establishment status;
The recruitment information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and when the corresponding recruitment information is a predetermined number or less, the search is performed. The recruitment information database is re-searched as another search item of the same hierarchy based on a condition table in the descending order of the priority calculated by the priority calculation means as a search condition, and the search result is notified to the user. Search processing means to
An information retrieval device, comprising:

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