JP4040555B2 - Information retrieval apparatus and information retrieval program - Google Patents

Description

The present invention relates to an information search apparatus and an information search program for searching for recruitment information for an event and notifying a user.

  In recent years, for job seekers, services that can search and browse job information registered in a database using a terminal installed at a consultation center or the like are generally provided. In this service, for example, it is possible to search by specifying job type, type of business, wage, working place, etc. as search conditions. In addition, there are services that can search job information through the Internet.

  In such a conventional job information search service, when a search condition input by a user is specified, 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, there are many cases where the number of search results obtained is too large, or 0 corresponding job information is output. On the other hand, as a technique for obtaining search results that are closer to the user's wishes, synonyms and synonyms for the words entered by the user, words that represent the same words in katakana, hiragana, etc. are included in the search conditions. A search technique called “fuzzy search” is also used.

When sorting and organizing search results from a large amount of information, the 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 manner. Structured axis word input means for inputting a word as an axis of a dimension to be processed, a database for holding information on a structured display target, and a word input by the structured axis word input means as a search word for display from the database There has been provided information search means for searching for information and structured display processing means for displaying the searched display information as a list arranged along a dimension axis for structured display (see, for example, Patent Document 1). .)
Japanese Patent Laid-Open No. 7-282087 (paragraph numbers [0017] to [0047], FIG. 1)

  As described above, in the conventional job information search service, there are many cases where the number of search results is too large or the number of applicable search results is 0 when searching with the search conditions input by the user. In this case, the user himself / herself repeatedly searched for job information close to his / her desire while changing the search condition, which was inefficient. In particular, in the case of new graduates at school, there was a vague desire for the type of industry or job type in which they wanted to find a job, and the search conditions were selected from vague conditions. In such a search, for example, there are many cases where it is not possible to find job information that is close to what is desired, although it actually exists.

  In addition, the conventional search technique called “fuzzy search” is such that the search condition is relaxed by a predetermined rule, which is insufficient for performing an appropriate search. For this reason, for example, job types and industries that are advantageous to people from the same department are reflected in search results according to job vacancies that change year by year, or sensibility such as job images possessed by job seekers. 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. Furthermore, it is also required to display search results obtained by such a method in a manner that is easier for the user to understand.

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

Another object of the present invention is to provide an information search program capable of efficiently searching for 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 apparatus for searching for recruitment information for an event and notifying a user, search conditions for storing search items for the recruitment information as a hierarchical structure a table 12, a collection information database 11 that the collection information from the provider of the recruitment information accumulated in correspondence with the search condition table 12, desired event in each user categories for classifying the user Based on the event trend information 13 indicating the tendency of the user and the event contract record information 14 indicating the contract establishment status for each event between the past user for each user classification item and the provider of the recruitment information a priority calculation unit from time to time calculate the priority of the search item for each of the user classification items to, designated by the input of the user Searching the collection information database 11 and the user classification items for the search item and the user as a search condition, when the collection information applicable is equal to or smaller than the predetermined number, based on the search condition table 12 The other search items in the same hierarchy are searched again in the recruitment information database 11 as search conditions in descending order of the priority 15 calculated by the priority calculation means , and the search result is notified to the user. a search processing means for outputting the information retrieval device, characterized in that have a are provided as.

In such an information search apparatus , the search processing means searches the recruitment information database 11 using the search item designated 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, based on the search condition table 12, the other search items in the same hierarchy as the search condition specified by the user are searched in descending order of priority 15. The recruitment information database 11 is searched again. Since the search condition table 12 holds search items as search conditions as a hierarchical structure, the search conditions are relaxed at the time of re-search. In addition, 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 by the priority calculation means based on the event tendency information 13 and the event contract record information 14, and the users belonging to the same user classification item by using the priority 15. The user is preferentially notified of the recruitment information belonging to the search item that the user has requested in the past or the number of times that the contract has actually been established. For example, when the event information that is the target of the recruitment information is the job offer information, the job type to be recruited, the business type of the company that is the recruitment source, etc. are applied as the search items. Further, as the user classification item, for example, the department to which the user belongs is applied.

Further, in the present invention, a search condition table storing search items for recruitment information for an event as a hierarchical structure, and a recruitment information database storing the recruitment information from the offer information provider in association with the search condition table; the computer storing the, in the information retrieval program for executing processing for informing the user by searching the collection information, the computer, the tendency of the desired event in each user categories for classifying the user The search to be a search target based on event trend information indicating a contract establishment status for each event of a past user for each user classification item and a provider of the recruitment information priority calculation means to optionally calculate the priority of the entry for each said user classification items, the input of the user If the recruitment information searches the collection information database and the user categories for the constant has been the search item and the user as a search condition, appropriate is equal to or smaller than the predetermined number, the search condition table The search information database is searched again for other search items in the same hierarchy based on the search conditions in descending order of the priorities calculated by the priority calculation means, and the search results are used as notification information to the user. information retrieval program characterized Rukoto to function search processing means for outputting as, is provided.

Here, the search processing means, the user categories for the search item and the user specified by the interest for the user as the search condition, perform a search for the recruitment information database. At this time, if the corresponding recruitment information is less than a predetermined number, based on the search condition table, specify other search items in the same hierarchy as the search condition specified by the user as the search condition in descending order of priority. And re-search the recruitment information database. Since the search condition table holds search items as search conditions as a hierarchical structure, the search conditions are relaxed at the time of re-search. In addition, the search result by the re-search is notified to the user in descending order of the priority of the search items.

  Here, the priority is a value calculated by the priority calculating means based on the event trend information and the event contract record information, and by using this priority, users belonging to the same user classification item have been recorded in the past. The user is preferentially notified of the recruitment information belonging to the search item that has been requested many times or the number of times that the contract has actually been established. For example, when the event information that is the target of the recruitment information is the job offer information, the job type to be recruited, the business type of the company that is the recruitment source, etc. are applied as the search items. Further, as the user classification item, for example, the department to which the user belongs is applied.

In the information retrieval apparatus of the present invention, the search by the processing of the processing means, automatically search collection information database is re-searched priority in descending order of relaxed the search item, search results Ru is notified to the user. Thereby, it is possible to actively present to the user the recruitment information for other types of events that the user may be able to contract, the types of events that are likely to be contracted, and the like. For example, it is possible to positively present other job types and types of business that can be employed by the user, job types and types of business that are likely to be employed, to the user who is seeking a job. Therefore, information useful for the user is provided, and there is a high possibility that the recruitment information close to the user's wish can be obtained with a smaller number of searches, thereby improving the search efficiency.

In the information search program of the present invention, the search conditions are automatically relaxed by the processing as the search processing means , and the recruitment information database is re-searched in order of the priority of the search items, and the search result is notified to the user. Is done. Thereby, it is possible to actively present to the user the recruitment information for other types of events that the user may be able to contract, the types of events that are likely to be contracted, and the like. For example, it is possible to positively present other job types and types of business that can be employed by the user, job types and types of business that are likely to be employed, to the user who is seeking a job. Therefore, information useful for the user is provided, and there is a high possibility that the recruitment information close to the user's wish can be obtained with a smaller number of searches, thereby improving the 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 through a network (not shown), and the server computer 1 performs processing results in response to a request from the terminal device 2. Assume that a service is provided. 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, accumulates it in the recruitment information database (DB) 11, and recruits information according to the search conditions input from the terminal device 2 by the service user. The database 11 is searched. It then notifies you of information such as the number of hits by search and the list of recruitment information, or the number of hits when the search conditions are narrowed down or relaxed, and finally one or more recruitments selected by the user. The content of the information is provided, and the user is browsed by the terminal device 2.

  Hereinafter, the above system will be described with reference to the case where job offer information is applied as recruitment information. In this case, the user is finally provided with the contents of one or a plurality of job information (job cards) selected by the user.

  The recruitment information database 11 can be searched by designating search items held in a search condition table 12 described later. In addition to this, it is also possible to perform a search using the numerical information included in the recruitment information, for example, the salary amount included in the recruitment information as a key.

  The server computer 1 also holds a search condition table 12, event trend information 13, and event contract record information 14. The search condition table 12 holds search items for the recruitment information database 11 as a hierarchical structure. As the search item, for example, the job type to be recruited, the type of business of the company that is the recruitment source, the place of employment, etc. 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 at the upper or lower level.

  The event tendency information 13 is information indicating a tendency of a desired event for each user classification item for classifying users. For example, the event tendency information 13 indicates a tendency of a job applicant for each user classification item. Here, as a user classification item, for example, when a student is targeted as a user, an affiliated department or the like is applied. In addition, when targeting general job seekers other than students, user skills (qualifications possessed, job types / industry, etc. experienced in the past), etc. are applied.

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

  The event contract record information 14 is information indicating the contract establishment status for each event of the past user and the offer information provider for each user classification item, and when the contract based on the offer information is established, the offer It is represented by a count number obtained by counting search items to which information belongs. For example, when employment based on certain job information is determined, search items to which the job information belongs are counted. Therefore, follow-up surveys are conducted for users who have newly used this service, and event contract performance information 14 is updated as needed based on the recruitment information that is the basis of the employer finally determined. It is desirable to do.

  When searching for the recruitment information database 11, the priority 15 of the search item to be searched is calculated based on the event trend information 13 and the event contract record information 14, and the search item is designated based on this 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 record information 14 to the value of the event trend information 13. The priority 15 may be calculated and held as needed with the update of the event trend information 13 and the event contract record information 14.

  Next, the processing at the time of service provision will be described in order. This service is started when the user accesses the server computer 1 from the terminal device 2 through the network. At this time, for example, an input screen for the search condition is displayed on the terminal device 2.

  Here, in step S <b> 1, 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 a search condition, a user classification item to which the user belongs (for example, a department) and a search item to be searched (for example, a desired job type or type of business) 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 designated. In this case, the search target becomes wider as the name of the upper hierarchy is specified. In addition to these, other information such as salary can be added as a search condition.

  In step S4, it is determined whether or not the recruitment information that matches the search condition is equal to or less than a predetermined number. If it is less than or equal to the predetermined number, the process proceeds to step S5, and if not, the process proceeds to step S6. This process is for determining whether or not the number of recruitment information that matches the search conditions from the user is small, and the number of judgment criteria is preferably about 0 to 10.

  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, search items to be prioritized are determined in advance, and one search item that is not prioritized is designated as a search condition by one level higher hierarchy, that is, all search items on the original hierarchy. Here, it is conceivable that a large amount of corresponding recruitment information is extracted in a search that simply uses the upper hierarchy as a search condition. For this reason, the search items on the original hierarchy other than the one designated by the user are searched in order from the highest priority 15. At this time, for example, the total number of items to be output is determined in advance, and only search results for search items with a high priority 15 are output.

  Here, the priority 15 is calculated based on the event trend information 13 and the event contract record information 14. By using this priority 15, a search item (for example, determined as a place of employment) that a user who belongs to the same user classification item (for example, department) desires in the past or that the contract is actually determined many times is used. Information on the type of job or type of work) is preferentially notified to the user.

  The search result by the process of the above step S5 is transmitted to the terminal device 2, and the search result is displayed in step S6. Further, when the number of applicable recruitment information is greater than or equal to 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 search hits for each search item, the name of the provider of the searched recruitment information (for example, the company name of the recruitment information), and the like. Here, for example, if the number of search hits is displayed, a list of search results is displayed by selecting a predetermined part on the screen or adding search conditions such as work place and salary. You can also perform a search with further refined search conditions.

  In step S7, the server computer 1 is requested to notify the content of the selected recruitment information by selecting one item from the displayed list of recruitment information. In step S8, the server computer 1 extracts the content of the selected recruitment information from the recruitment information database 11 from the search results in the processing of step S3, step S6, etc. in response to a request from the terminal device 2. 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 job offer card).

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

  In the above service provision processing, if the number of applicable search results is small in the search using the search conditions specified by the user, the search conditions are automatically relaxed and re-searched. Notify users. In this re-search, search results are preferentially notified about search items having a high priority 15 based on the event trend information 13 and the event contract record information 14. This makes it possible, for example, to actively present other occupations and industries that are likely to find employment, and occupations and industries that are likely to be employed, to users who vaguely hold the desired occupation or industry. Useful information for users seeking jobs. In addition, there is a high possibility that the user can obtain job information close to the user's wish without searching many times while changing the search condition, and the search efficiency is improved.

  It should be noted that the search result obtained by the process of step S5 is desirably displayed in an easily understandable manner by the process of step S6 in the terminal device 2. As examples of such display images, the following can be considered. In this display image, the first display unit displaying the number of search hits by the search in step S3 and the number of search hits by the re-search in step S5 are displayed closer to the first display unit as the priority 15 is higher. And a plurality of second display units.

  In such a display image, the number of search hits according to the search condition designated by the user is displayed on the first display unit, and further, the second display unit is close to the search condition by the user and the user. The search result for the search condition (for example, job type or business type) that is considered to be advantageous to the user is displayed at a position closer to the first display unit. Therefore, the user can intuitively grasp the job type and the business type suitable for him. Further, in order to further display a list of searched recruitment information and the like, the screen can be easily changed 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 providing a job information search service for students assuming a student as a target for recruitment.

FIG. 2 is a diagram showing a system configuration example 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 a user (student) who subscribes to a search service provided by the job information search server 100, and is a personal computer, for example. That is, the user can use the job information search service by accessing the Web site provided by the job information search server 100 from any of the terminal devices 200a to 200c through the Internet 300.

  Note that a large number of terminal devices connected to the Internet 300 are actually provided according to the number of users. In addition to this, a computer device or the like of a recruitment source company that registers job information through the Internet 300 with respect to the job information search server 100 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, a job information search server 100 includes a central processing unit (CPU) 101, a random access memory (RAM) 102, a hard disk drive (HDD) 103, a graphic processing unit 104, and an input I / F (interface). 105 and a communication I / F 106, which are connected to each other 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 to be 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.

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

  With the hardware configuration as described above, 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 also be realized by the same hardware configuration.

Next, the processing function of the job information search server 100 will be described.
FIG. 4 is a block diagram illustrating 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 website to the terminal devices 200 a to 200 c that are access sources, and a search processing unit 120 that performs a process of searching for job information. The condition candidate setting unit 130 for setting a condition candidate when the search condition is relaxed, and the information update processing unit 140 for updating the employment tendency information. In addition, a job search database (hereinafter abbreviated as DB) 100a in which job search information is stored, a search condition table 100b that holds search conditions in a hierarchical structure, and job trend information in which job trend information and job history information are respectively stored. DB 100c and employment result information DB 100d, and a priority information DB 100e that holds priority information of search items when the search conditions are relaxed.

  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 processing for outputting various homepage screens in the job search service as HTML (Hyper Text Markup Language) data 113 to the terminal devices 200a to 200c via the Internet 300. For example, the screen generation processing unit 111 outputs an input screen such as a search condition. When the search result is received from the search processing unit 120, the search result is incorporated into the homepage screen and output.

  The input data processing unit 112 acquires search conditions and selection information input in the terminal devices 200 a to 200 c for the homepage screen output by the screen generation processing unit 111, and sends these data to the search processing unit 120. Output. Furthermore, when a search condition is first specified by the user, and when one job information is selected after the list of search results is output, the specified search condition and job information selection 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 or the like that performs user authentication with reference to a user DB (not shown), but is omitted here.
The search processing unit 120 searches the recruitment DB 100a using the search condition received from the input data processing unit 112, extracts the relevant recruitment information, and outputs the list to the screen generation processing unit 111. When selection information is received from the input data processing unit 112, a list of further search results corresponding to the selection or the content of the selected job information is output to the screen generation processing unit 111.

  Here, the recruitment information registered from the recruiting company is stored in the recruitment DB 100a. The search condition table 100b holds search items for job information such as business types, job types, and work places as a database having a hierarchical structure (tree structure). Therefore, the recruitment DB 100a has a data structure that allows a search to be performed using items classified in the search condition table 100b as search keys.

  When the number of search hits by the first search condition from the user exceeds a predetermined number such as 50, the search processing unit 120 performs a re-search according to the narrowing of the search condition by the user. At this time, for example, by referring to the search condition table 100b, the search items in the lower hierarchy are extracted by one and notified to the user as selection target items. When the number of hits exceeds a predetermined number, a search result may be automatically output by referring to the search condition table 100b and narrowing down such a search condition.

  Further, when the number of search hits based on the first search condition is extremely small (for example, 0), 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, using the search items set from the condition candidate setting unit 130 according to these pieces of information as search conditions, the job search DB 100a is searched again.

  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 preferential search conditions for each department to which the user belongs, The search processing unit 120 is notified. The information update processing unit 140 updates the contents of the employment trend information DB 100c using the search items based on the search conditions and selection information supplied from the input data processing unit 112.

  Here, the employment tendency information DB 100c counts the number of times that a certain job type and type of business are designated as a search condition by the user, and the job type and type of business to which the job information belongs when job information is selected based on the search. The number of counts is accumulated for each department to which the user belongs. Therefore, the job trend information accumulated therein indicates the job type and type of industry desired by past users.

The employment result information DB 100d stores, for each department to which the user belongs, a count value obtained by counting the type of job and type of business when employment is actually determined.
The priority information DB 100e stores the priorities of search items (job types and business types) used as search conditions when the search conditions are relaxed for each department. The priority is calculated based on information accumulated in the employment trend information DB 100c and the employment achievement information DB 100d. Further, 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 job types to be recruited, business types of companies that are job seekers, and work places as search items that serve as search conditions for the recruitment DB 100a. Each piece of information has a hierarchical structure. The occupation and type of business have a three-level hierarchical structure of “major classification”, “medium classification”, and “small classification”. In addition, the place of employment has a hierarchical structure such as prefecture, region name (Kanto region, Tokai region, etc.), region within the prefecture (for example, Tokyo 23 wards, Tama region, etc. in the case of Tokyo), and municipalities. Given.

  The priority of the condition items 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 job type and the type of business. However, the priority of search items in the same hierarchy may be determined in advance in the search condition table 110b for work places. For example, when “Tokyo” is specified as a search condition, the priority of “Saitama Prefecture” and “Kanagawa Prefecture” adjacent to Tokyo is set higher, so that these can be used as search conditions when the search conditions are relaxed. Use with priority.

  Next, specific database structures of the employment trend information DB 100c, the employment record information DB 100d, and the priority information DB 100e will be described. FIG. 5 is a diagram showing 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, as an example, a database structure of the employment tendency information DB 100c for a user whose department is “mechanical engineering”. In addition, in the employment tendency information DB 100c, information on job types and types of business is stored as a relational database on one database structure.

  In the database structure shown in FIG. 5, the vertical axis indicates job types and the horizontal axis indicates business types. In the example of FIG. 5, for job types, job type codes including three levels of “major category”, “medium category”, and “small category” are shown, and job type names belonging to “minor category” are shown for each job type code. Yes. For example, the job code “03” of “major classification” indicates “engineer”, “machine engineer” is further classified by the job code “1” in the lower layer, and the job code “00” is further added in the lower layer. From “Machine Engineer” to “Plant Engineer” with job type code “40”. For the business type, for example, only the business name belonging to “medium class” and the business code (28 to 34) in “medium class” are shown. Then, the numerical values of the employment tendency information are stored on the cells corresponding to these job type names and business type names.

  The employment tendency information indicates the number of times specified as the first search condition by the user and the number of times the corresponding job information is selected by the user based on the search result. For example, when a user whose department is mechanical engineering designates “machine tool engineer” and “general machine tool manufacturing industry” as the first search condition, the corresponding cell in FIG. The number above is counted up. In addition, based on the search results, a similar user selects and browses one job information whose job category and type of business are “machine tool engineer” and “general machine tool manufacturing industry”, respectively. In this case, the numerical value on the corresponding cell in FIG. 5 is similarly counted up. Therefore, the tendency of the type of job and the type of business that the past user of this service has desired as a place of employment is reflected in the numerical value for each department to which the user belongs.

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

  The numerical values accumulated in the employment tendency information DB 100c and the employment achievement information DB 100d may be accumulated by weighting the count value to newer data. For example, the count value based on the information output from the information update processing unit 140 in the current fiscal year is doubled with respect to the accumulated value up to last year and accumulated in the employment tendency information DB 100c. Thereby, 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 above-described employment tendency information DB 100c and employment achievement information DB 100d. The priority information DB 100e determines the priority of the search items (job type and industry) that are used as search conditions when the search conditions are relaxed based on the information accumulated in the employment trend information DB 100c and the employment result information DB 100d for each department to which the user belongs. To accumulate. Specifically, a value obtained by applying a certain weight to the employment result information stored in the employment result information DB 100d is added to the numerical value of the employment tendency information DB 100c, and the priority information DB 100e is added. Store.

  Here, the employment trend information is considered to be information accumulated for the purpose of introducing the user to the user's way of thinking about employment and the graduates of the same department as the user for reference. On the other hand, job hunting information is information that shows the number of job types and industries actually decided as a place of employment by graduates of the same department, and is very accurate because it is based on facts. It is considered important for users. Therefore, weighting the employment result information reflects the difference in the importance of the accumulated information, and can improve the accuracy of the information.

  The priority information DB 100e is updated at regular intervals such as every 24 hours, and this corresponds to the update of the employment trend information DB 100c and the employment achievement information DB 100d.

  Next, processing at the time of service provision in the job information search server 100 will be described in order. FIG. 6 is a flowchart showing the overall flow of processing of the job offer information search server 100 when a service is provided to a user.

  First, the job search server 100 first outputs initial screen data for service provision to the access source terminal device by the screen generation processing unit 111 of the Web server unit 110, and collates the user ID, password, and the like. After performing the above, the screen data for inputting the search condition 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 search items (job type, type of business, place of work, salary, etc.) designated 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. . Note that, on the user search condition designation screen in 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 used as a search condition by making it correspond to the name of the search item by using an ambiguous search or the like on the job information search server 100 side.

  In step S602, the information update processing unit 140 counts up the value of the corresponding employment tendency information accumulated 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 the search condition from the user. In step S604, it is determined whether or not the number of hits by 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 search condition relaxation processing for relaxing the search conditions designated by the user and re-searching the recruitment DB 100a. In addition, after this process ends, the process proceeds to step S608. This search condition relaxation 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. If so, the process proceeds to step S607, and if it is 50 or less, the process proceeds to step S608.

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

  First, the search processing unit 120 refers to the search condition table 110b, extracts search items in a lower hierarchy than the search items specified by the user, outputs the extracted search items to the screen generation processing unit 111, and Send to device. In the terminal device, the user further selects a desired item from these search items. The job offer information search server 100 searches the job offer 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 then the process proceeds to step S608.

  In step S608, a list of search results is output to the terminal device. In this process, the job information list information searched by the search processes 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 it to the access source terminal device.

  The list information transmitted at this time includes, for example, information such as the type of business and the type of job being recruited along with the name of the recruiting company of the job information that has been hit. Then, the user selects any one item from the list of job offer information displayed on the terminal device. Thereby, in Step S609, job offer information search server 100 receives selection information from the terminal device. Then, the search processing unit 120 extracts the selected job information from the job search DB 100a and outputs it to the screen generation processing unit 111. The screen generation processing unit 111 generates a screen for the job posting 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 job type, type of industry to which the job information selected in step S609 belongs, and the department to which the user belongs.

  In step S611, based on the request signal from the user, it is determined whether to select other job information. When the user issues a request to select, the process returns to step S608 to output a list of search results again, and then 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 relaxation process shown in step S605 of FIG.
In step S701, a condition candidate setting process for setting candidate condition items when the search condition is relaxed is executed. This process starts when the search processing unit 120 delivers the search condition from the user and information on the department to which the user belongs to the condition candidate setting unit 130. Then, the condition candidate setting unit 130 sets condition item candidates and delivers them to the search processing unit 120. This 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 or not the number of hits by search is zero. If it is 0, the process returns to step S701, and a search for another condition item on the same hierarchy is performed, or a search is performed again with a relaxed search condition for another condition item (for example, from job type to industry). If the hit number is not 0, the process proceeds to step S704.

  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.

  The information specifically presented to the user in this process includes, for example, a search item newly set by relaxing the condition and the number of job information hit by this search item. In this process, the search result automatically executed by the job information search server 100 with the search conditions relaxed is presented to the user, so information such as search items and the number of hits can be requested from the user. It is necessary to divide it into information according to the information, information recommended by the service provider, etc., and display it in an easily understandable manner. The screen at this time is illustrated in FIGS. 9 and 11 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 output information. For example, when the user clicks on the display of the number of hits searched for a certain job type and type of business, this selection information is transmitted to the job search information search server 100.

  In step S706, the search processing unit 120 determines whether the selected search item (including job type or type of business, work place, etc.) belongs to a small category, that is, whether it belongs to the lowest hierarchy. judge. In this process, when which search item is to be preferentially searched is set in advance, it is determined whether or not the search item that has been prioritized in the steps up to this process belongs to the lowest hierarchy. For example, if you have searched for job types among job types / industries, the conditions for job types have not been changed in the process so far, but if there are more than a certain number of hits at this point Further, by subdividing and searching for job conditions, it becomes possible to notify the presence status of more detailed job information.

  Accordingly, in step S706, if the priority search item is a small category, 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 subdivides the search items targeted in step S706. Specifically, referring to the search condition table 110b, search items in a lower hierarchy of the search items are extracted. In step S708, the search processing unit 120 searches the job search DB 100a again using the subdivided search items. And it returns to step S704 and outputs a 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 points of priority corresponding to each item of occupation and type of business is stored as a relational database for each department. With such a data accumulation method, it is possible to easily scan cells according to changes in the items and levels of occupations and industries as shown below.

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

  In step S802, for any one of the designated search items, another search item on the same hierarchy as this is scanned. For example, if a job type priority search has been performed, the cell for other business type codes in the same classification as the specified business type is scanned without changing the job type designation.

In step S803, it is determined whether there is a point indicating priority in the scanned cell. If there is a point, the process proceeds to step S806, and if not, the process proceeds to step S804.
In step S804, the target search item is changed, and the corresponding department table is scanned again. For example, if the job type priority search has been performed, there is no job information that matches the job type specified in step S802. Therefore, in step S804, a higher-level search item is specified for the job type. A cell on the table corresponding to this job type and the business type used in step S802 is scanned.

  In step S805, it is determined whether there is a point in the scanned cell. If there is a point, the process proceeds to step S806. On the other hand, if there are no points, the process returns to step S804, and the scanning is repeated again using the search items of higher level in the target search items.

  In step S806, the search items corresponding to the descending order of the points among the cells in which the points existed by the scan in step S802 or step S804 are set as the search conditions. For example, if the industry condition relaxation (processing for setting another industry in the same hierarchy) has been performed in step S802, a predetermined number of industries with the highest points are sequentially extracted from the scan results and set as search conditions. To do. The business type is output to the search processing unit 120.

  By the processing in FIG. 8, the search processing unit, for example, when a job priority search is performed, a predetermined number of high-priority industries among other industries in the same hierarchy as the industry specified by the user. The job search DB 100a is searched again using this type of business as a search condition. Here, the priority is information based on the trends in the industries that past users of the same department belong to, and the industries that have been decided to find employment. It can be said that this is an industry that can be recommended as an industry that can be used by a user, and that it is highly likely to be employed.

  Therefore, with this service, it is possible to actively propose and recommend business types and job types that are considered useful to users who are vaguely thinking about where to work. In addition, useful job information that is close to the user's wishes is extracted without causing the user side to change the search condition many times and perform the search, thereby increasing the search efficiency. For example, conventionally, there are many cases where job information that is close to desired exists but cannot be extracted because the designation of search conditions is not appropriate. It can be extracted and provided without leakage. This is preferable also for the job offer information provider side because information that has been buried in the past is easily provided to the user.

  In the above processing example, search items with high priority are extracted only when the search conditions are relaxed, but priority information can also be used in searches when the search conditions are narrowed down. For example, when job type priority is specified and an industry name belonging to a major category or middle category is specified as a search condition, the one with lower priority than the specified industry name is automatically selected. Extract, search using this industry, and notify the search results. Thereby, when the search range is wide, it is possible to provide job offer information more suitable for the user within the range.

Next, a screen display example displayed on the terminal device by this 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, when a search is performed based on the search conditions specified by the user and the corresponding job information is 0, this is notified and the search results obtained by relaxing the search conditions are shown to the user. Notify.

  In FIG. 9, the display units 210 and 220 simultaneously show the search results performed with the business type priority and the job type priority, respectively. That is, in FIG. 7, it is based on the processing result in the case where both the business type priority and the occupation type priority are performed. In FIG. 9, the department to which the user belongs is “Telecommunications Engineering”, and “Manufacturing”, “Telecommunications Engineer”, and “Minato-ku, Tokyo” are specified for the type of industry, occupation, and place of work. In addition, search item names extracted by relaxing conditions for job types and types of business are shown in the item display unit 230.

  In the display unit 210, the industry as a search condition is fixed as a manufacturing industry, and the conditions for job types are relaxed. The number of hits on the job offer DB 100a for each job type is shown in the number display section 211. In the number display section 211, the number of hits is classified and displayed by a symbol. “-” Indicates 0 hits, “△” indicates 1-10, “O” indicates 11-50, “◎” Indicates that the number exceeds 50.

  Here, a search result based on a condition specified by the user is stored in the upper left cell of the number display section 211. In this cell, it is shown that the number of hits is 0, and in response to this, a search is performed with relaxed conditions for job types. In addition, you may make it easy to identify only by making this cell a different color from another cell.

  In this example, in the item display unit 230, in addition to the “telecommunications engineer” designated by the user, job titles belonging to the same hierarchy are displayed for the four items from the top in order of priority. Here, since “telecommunications technician” belonging to the small category is designated as the desired job category, the item display section 230 describes the job category name belonging to the minor category. Furthermore, in the number display section 211, conditions are relaxed not only for job types but also for work places. That is, in addition to “Minato Ward” designated by the user, each of the nearby wards is extracted as a high priority area, and the corresponding number of hits is shown.

  The configuration 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” belonging to the major classification is specified by the user, and since the search range is wide, the lower hierarchy is automatically set. The category name belonging to the middle category is shown in the item display section 230, and the number of hits for these items is shown in the number display section 221. In addition, in the item display part 230 in the display part 220, it is shown in order from the industry name with the highest priority based on 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 number display sections 211 and 221, when a cell in which the number display of “−” is displayed is selected, a job type or a business type having a high priority other than the corresponding job type or business type is selected as a recommended business type or job type. Display in order of priority. When the cells “Δ” and “◯” are selected, a list of relevant job information is displayed (corresponding to step S608 in FIG. 6).

  Further, when the cell “◎” 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 items in a lower hierarchy for a business type whose conditions are fixed, or a search item other than the job type, business type, and place of work is used. In the case of the display unit 220, the search is further performed by subdividing the business type, and the search result is displayed.

  In addition, if the displayed industry name or job title does not belong to the lowest hierarchy, it is possible to search using the search items in the lower hierarchy by selecting the display of these industry name and job title. It is.

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

  Here, in the display unit 240 that displays the search results prioritizing the type of industry, the number of search hits according to the search conditions specified by the user is displayed in the cell in 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 with further subdivided search conditions is performed, and the search result is displayed. For example, a search is performed using items in a lower hierarchy for the type of business.

  In the screen display examples shown in FIGS. 9 and 10 above, in the item display units 230 and 260, in addition to the search items specified by the user, the search items recommended by the service provider are shown in the order of high priority. Therefore, it is possible to actively propose job types and business types suitable for users. Also, along with these search items, the number of search hits classified by other search items (in the case of the above example, the work area) is also shown, so that a large amount of information can be presented on the screen.

  On the other hand, it is also possible to limit the information to be displayed and display the job type and type of business proposal based on the priority, which is a feature of this service, in an easily understandable manner. Hereinafter, an example of such a screen display will be described.

FIG. 11 is a diagram showing a screen display example when the search result is displayed in a graphic form.
In the screen of FIG. 11, the display units 271, 272, 273, 274, and 275 display the search item (the job title in this case) specified as the search condition and the number of search hits based on the search condition. Among these, the display unit 271 is arranged on the leftmost side, and corresponds to the search condition specified first by the user.

  The display units 272 to 275 are arranged inside a display range 280 that displays job types recommended by the service provider. Therefore, in the display range 280, search results when the search conditions are relaxed are shown. Further, 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 type shown in the display units 272 to 275.

  That is, in the screen of FIG. 11, the search result based on the 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, This means that information strongly recommended to users can be easily identified. In this display, it can be said that the image can easily grasp the situation of the job market to be searched.

  Further, in these display units 271 to 275, the background color, the area, the character, and the like are changed according to the number of search hits and displayed, whereby the difference in the number of search hits can be easily identified in addition to the above. Furthermore, by selecting these display units 271 to 275, a list of searched job information, a search result when a search condition is further narrowed, or the like may be displayed. As described above, the screen of FIG. 11 not only can display information visually and easily in comparison with 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 job type and the count of the type of industry. However, other information for classifying the job information is provided. May be used. For example, search for information such as work area, salary, benefit level, ease of work such as working environment, and characteristics of work place (whether it is a downtown area or a suburb) as a hierarchical structure. While registering in the condition table 110b, the information is counted in the employment tendency information DB 100c and the employment result information DB 100d and held as a relational database or the like. Thereby, it becomes possible to increase the number of search condition choices when the search condition is relaxed and to propose detailed job information.

  The processing functions described above can be realized by a server computer of a client server system. In that case, a server program describing the processing contents of the functions that the job offer information search server 100 should have is provided. The server computer executes the server program in response to a request from the client computer. As a result, the processing function is realized on the server computer, and the processing result is provided to the client computer.

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

When distributing the server program, for example, a portable recording medium such as a DVD or a CD-ROM in which the server program is recorded is 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.

In the above-described embodiment, job offer information is targeted as recruitment information. However, the present invention is not limited to this and can be applied to other fields.
For example, the present invention can be applied to a case where a house sale property or a rental property 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 residence type, the number of rooms, etc. are hierarchically structured as search conditions in the database. Remember. If there is no property that matches the area or price range that the purchaser desires in the first place, a higher-level search is performed, and the property, residence type, number of rooms, and environment where the price range or region is in the vicinity. It is possible to present properties that are similar in the order of close conditions.

  Moreover, the same processing is possible not only for sale properties but also for rental properties. Furthermore, even when a complex condition search is performed by address, price range, residence type, number of rooms, etc., it is possible to present properties closer to the needs of purchase / renters by presenting in order of priority. . Therefore, it is possible to present not only properties that perfectly meet the needs but also properties that can be purchased / rented and that are closer to the needs to purchase / renters. In addition to improving convenience, the real estate agent that is the information provider can also expect an increase in the contract rate.

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

  Also, the present invention can be applied to a case where a car to be sold is a target event. For example, since used car properties are fluid, a desired used car may not be purchased when a user searches for a used car. Considering these points, if the vehicle type is hierarchically structured for each field (wagon car, sports type, etc.) and stored in the database, the user searches for the desired vehicle type and there is no such vehicle type , Search the upper hierarchy. This makes it possible to present a used car that is close to the field of the desired car type among the used cars currently on sale.

  In addition, when a new car is sold, for example, when a user who wants a car that is not handled by the sales company appears, it is easy to present a car with the same function from among the cars handled by the company. Is possible. Furthermore, if not only the field but also the displacement, performance, year, etc. are included in the search conditions as complex conditions, it becomes possible to present a car that is closer to the needs of the purchaser.

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

(Additional remark 2) The said event tendency information is based on the number of times that a past user has specified as a search condition for a certain search item, and one piece of the recruitment information is based on the search result of the recruitment information database. Is represented by an addition value with a count number obtained by counting the search items to which the recruitment information belongs,
The event contract record information is represented by a count number obtained by counting the search items to which the recruitment information belongs when an event contract based on the recruitment information is established.
The information search method according to claim 2, wherein the priority is calculated as an addition value of the value of the event trend information and a value obtained by applying a predetermined weight to the value of the event contract record information.

(Supplementary note 3) The information search method according to supplementary note 2, wherein when the search condition is received from the user, the event tendency information corresponding to the designated search item is updated.
(Additional remark 4) When the said recruitment information is selected by the said user based on the search of the said recruitment information database according to the request | requirement from the said user, the said search item to which the selected said recruitment information belongs The information search method according to appendix 2, wherein the event trend information corresponding to is updated.

  (Additional remark 5) The search result by the re-search of the said recruitment information database is notified about the predetermined number of said search items in order with the said high priority, The job offer information search method of Additional remark 1 characterized by the above-mentioned.

  (Additional remark 6) The search result of the said recruitment information database contains the 1st display part which displayed the number of search hits based on the search conditions designated to the said user, and each search item based on the re-search of the said recruitment database. The supplementary note 1 is characterized in that the user is notified as image information including a plurality of second display units displayed at positions closer to the first display unit as the priority is higher for the number of search hits. Information retrieval method.

  (Supplementary Note 7) In response to selection by the user for the first and second display units, the user is notified of a list of searched recruitment information or a search result when further narrowing down search conditions. The recruitment information search method according to appendix 6, characterized in that:

(Supplementary note 8) The information search method according to supplementary note 1, wherein the recruitment information is job offer information, and the event contract record information is information indicating a job deciding status.
(Supplementary note 9) The job search information search method according to supplementary note 8, wherein the search item includes a job type to be recruited and a business type of a company that is a recruitment source.

(Supplementary note 10) The job offer information searching method according to supplementary note 8, wherein the user classification item includes a department to which the user belongs.
(Additional remark 11) The event information used as the object of the offer information is property information of a rental house or a sale property house, and the event contract record information is information indicating a decision state of rental or sale of a house. The information search method according to Supplementary Note 1.

  (Supplementary note 12) The information search method according to supplementary note 1, wherein the event information that is the target of the recruitment information is tour information, and the event contract record information is information indicating a decision status of a tour contract.

  (Additional remark 13) The event information used as the object of the offer information is car sales information, and the event contract record information is information indicating a decision state of a car sales contract. Information retrieval method.

(Supplementary Note 14) In an information search method for searching for recruitment information for an event and notifying a user,
The search items for the recruitment information are stored in a search condition table as a hierarchical structure, the recruitment information from the provider is stored in the recruitment information database in association with the search condition table,
Based on event trend information indicating the trend 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 user classification item,
The search information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and the search information is less than or equal to a predetermined number. Re-searching the recruitment information database using the other search items in the same hierarchy based on a condition table as a search condition in descending order of priority, and notifying the user of the search results;
An information search method characterized by that.

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

(Supplementary Note 16) In an information retrieval apparatus for retrieving recruitment information for an event and notifying 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 the recruitment information provider in association with the search condition table;
Event trend information indicating a trend of a desired event for each user classification item for classifying the user, and a contract for each event of a past user and the provider of the recruitment information for each user classification item Priority calculation means for calculating the priority of the search item to be searched as needed for each user classification item based on the event contract record information indicating the establishment status;
The search information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and the search information is less than or equal to a predetermined number. Retrieval of the recruitment information database as a search condition for the other search items in the same hierarchy based on the condition table in descending order of the priority calculated by the priority calculation means, and notify the user of the search result Search processing means to
An information retrieval apparatus comprising:

(Supplementary Note 17) In an information retrieval apparatus for retrieving recruitment information for an event and notifying 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 the recruitment information provider in association with the search condition table;
Priority for calculating the priority of the search item as a search target for each user classification item based on event trend information indicating the tendency of a desired event for each user classification item for classifying the user Degree calculation means;
The search information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and the search information is less than or equal to a predetermined number. Retrieval of the recruitment information database as a search condition for the other search items in the same hierarchy based on the condition table in descending order of the priority calculated by the priority calculation means, and notify the user of the search result Search processing means to
An information retrieval apparatus comprising:

(Supplementary Note 18) In an information retrieval apparatus for retrieving recruitment information for an event and notifying 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 the recruitment information provider in association with the search condition table;
For each user classification item for classifying the user, based on event contract performance information indicating a contract establishment status for each event between a past user and the provider of the recruitment information, the search target A priority calculating means for calculating the priority of the search item at any time for each user classification item;
The search information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and the search information is less than or equal to a predetermined number. Retrieval of the recruitment information database as a search condition for the other search items in the same hierarchy based on the condition table in descending order of the priority calculated by the priority calculation means, and notify the user of the search result Search processing means to
An information retrieval apparatus comprising:

(Additional remark 19) The search condition table which stored the search item with respect to the recruitment information with respect to an event as a hierarchical structure, and the recruitment information database which stored the said recruitment information from the provider of the said recruitment information matched with the said search condition table are memorize | stored. In the information search program for causing the computer to execute the process of searching for the recruitment information and notifying the user,
The computer,
Event trend information indicating a trend of a desired event for each user classification item for classifying the user, and a contract for each event of a past user and the provider of the recruitment information for each user classification item Priority calculation means for calculating the priority of the search item to be searched as needed for each user classification item based on event contract record information indicating the establishment status;
The search information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and the search information is less than or equal to a predetermined number. Retrieval of the recruitment information database as a search condition for the other search items in the same hierarchy based on the condition table in descending order of the priority calculated by the priority calculation means, and notify the user of the search result Search processing means,
Information search program characterized by functioning as

(Additional remark 20) The search condition table which stored the search item with respect to the recruitment information with respect to an event as a hierarchical structure, and the recruitment information database which stored the said recruitment information from the provider of the said recruitment information corresponding to the said search condition table are memorize | stored. In the information search program for causing the computer to execute the process of searching for the recruitment information and notifying the user,
The computer,
Priority for calculating the priority of the search item as a search target for each user classification item based on event trend information indicating the tendency of a desired event for each user classification item for classifying the user Degree calculation means,
The search information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and the search information is less than or equal to a predetermined number. Retrieval of the recruitment information database as a search condition for the other search items in the same hierarchy based on the condition table in descending order of the priority calculated by the priority calculation means, and notify the user of the search result Search processing means,
Information search program characterized by functioning as

(Additional remark 21) The search condition table which stored the search item with respect to the recruitment information with respect to the event as a hierarchical structure, and the recruitment information database which stored the said recruitment information from the provider of the said recruitment information corresponding to the said search condition table are memorize | stored. In the information search program for causing the computer to execute the process of searching for the recruitment information and notifying the user,
The computer,
For each user classification item for classifying the user, based on event contract performance information indicating a contract establishment status for each event between a past user and the provider of the recruitment information, the search target Priority calculation means for calculating the priority of search items for each user classification item as needed,
The search information database is searched using the search item specified by the user and the user classification item for the user as search conditions, and the search information is less than or equal to a predetermined number. Retrieval of the recruitment information database as a search condition for the other search items in the same hierarchy based on the condition table in descending order of the priority calculated by the priority calculation means, and notify the user of the search result Search processing means,
Information search program characterized by functioning as

It is a principle figure for demonstrating the principle of this invention. It is a figure which shows the system configuration example of embodiment of this invention. It is a figure which shows the hardware structural example of the job offer information search server used for embodiment of this invention. It is a block diagram which shows the function of a job information search server. It is a figure which shows the database structure of employment tendency information DB. It is a flowchart which shows the flow of the whole process of the job offer information search server at the time of service provision with respect to a user. It is a flowchart which shows the flow of a search condition relaxation process. It is a flowchart which shows the flow of a condition candidate setting process. It is a figure which shows the example of a screen display of a search result when the search which relaxed the search conditions was performed. It is a figure which shows the example of a screen display of a search result at the time of searching by narrowing down search conditions. It is a figure which shows the example of a screen display at the time of displaying a search result graphically.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Server computer 2 Terminal apparatus 11 Recruitment information database 12 Search condition table 13 Event tendency information 14 Event contract performance information 15 Priority

Claims (2)

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 collection information database the collection information from the provider of the recruitment information accumulated in correspondence with the search condition table,
Event trend information indicating a trend of a desired event for each user classification item for classifying the user, and a contract for each event of a past user and the provider of the recruitment information for each user classification item Priority calculation means for calculating the priority of the search item to be searched as needed for each user classification item based on the event contract record information indicating the establishment status;
If the collection information which the searching the collection information database and the user categories for the specified the search item and the user as a search condition by the user input, the corresponding is less than or equal to the predetermined number The search information database is searched again using the other search items in the same hierarchy based on the search condition table as search conditions in descending order of the priorities calculated by the priority calculation means , and the search results are used as the search results. Search processing means for outputting as notification information to the user,
An information retrieval apparatus comprising: A computer that stores a search condition table storing search items for recruitment information for an event as a hierarchical structure, and a recruitment information database that stores the recruitment information from the offer information provider in association with the search condition table, In the information search program for executing the process of searching the recruitment information and notifying the user,
The computer,
Event trend information indicating a trend of a desired event for each user classification item for classifying the user, and a contract for each event of a past user and the provider of the recruitment information for each user classification item Priority calculation means for calculating the priority of the search item to be searched as needed for each user classification item based on event contract record information indicating the establishment status;
When the search information database is searched using the search item specified by the user's input and the user classification item for the user as search conditions, and the corresponding offer information is less than a predetermined number The search information database is searched again using the other search items in the same hierarchy based on the search condition table as search conditions in descending order of the priorities calculated by the priority calculation means, and the search results are used as the search results. Search processing means to output as notification information to the user,
Information search program characterized by functioning as

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