JP2011138553A - Program and method for selecting recommended exhibition booth - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To precisely determine a personal interest target of each user and plan the best visiting destination of exhibition. <P>SOLUTION: An interest determining means 2 by learning content calculates points that indicate the degree of a user's interest in each field according to the user's learning content in each field. Next, an interest determining means 4 by exhibition booth determines a field corresponding to the exhibition content of each exhibition booth, calculates points for a learning experience corresponding to the field, and calculates points that indicate the degree of the user's interest in the exhibition booth. A recommended exhibition booth selection means 5 preferentially selects the exhibition booth with high points of each exhibition booth, and creates a list 6 of recommended places to visit that indicate the exhibition booths recommended for the user to visit. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a recommended exhibition booth selection program for guiding a booth to visitors to an exhibition, and a recommended exhibition booth selection method, and more particularly, a recommended exhibition booth for guiding an appropriate booth according to information of individual visitors. The present invention relates to a selection program and a recommended display booth selection method.

  In the industry, exhibitions are sometimes held to introduce products and services provided by each company. When it becomes a large-scale exhibition like an exhibition related to information technology, various exhibitors set up an exhibition booth. Visitors often visit busy schedules, and it is necessary to efficiently look around the booths that are of business interest.

  Generally, a visitor selects a booth that he / she should visit before visiting or after arriving at an exhibition hall, and visits the selected exhibition booth. However, it may not be possible to accurately determine the contents of the exhibition at each exhibition booth simply by referring to the exhibition brochure. In addition, even though there is an exhibition booth that is very closely related to the business, there is a possibility that the existence of the exhibition booth may be overlooked. For this reason, there were cases where it was not possible to visit the exhibition booth that should be visited.

  Even if you can visit the target exhibition booth, it is difficult for you to obtain information that you can convince while staying in the exhibition booth for a short time if it is about a completely new technology, product, or service. Also, if you happen to visit an exhibition booth that exhibits a technology you are interested in, or want to get more information about that technology, search the information source and select the appropriate one. That was difficult. Therefore, it was difficult to efficiently visit each exhibition booth at the exhibition.

  Therefore, as a means to solve the above problems, a method has been proposed in which the interest of each booth visitor is estimated from the past booth visit history and information related to the exhibition is customized and provided for each visitor. (See Patent Document 1).

JP-A-11-96230

  However, in the invention described in Patent Document 1, since the interest is merely estimated based only on the past booth visit history, it is not accurate in determining the user's interest. For example, even if a user has visited a certain exhibition booth in the past, there may be a case in which the contents of the exhibition are not interesting as a result of visiting only to check what is being exhibited. If only the booth visit history is used as a judgment criterion as in Patent Document 1, even if the exhibition booth is not interested, once the exhibition booth stops, the exhibition content of the exhibition booth is counted as an object of interest. In other words, it is difficult to estimate whether or not the visitor really needed knowledge / information on the technology, products, and services exhibited at the booth.

  The present invention has been made in view of the above points, and a recommended exhibition booth selection program and a recommended exhibition booth selection method capable of accurately determining an object of interest of each individual user and designing an optimum destination for an exhibition. The purpose is to provide.

  In order to solve the above problems, the present invention provides a recommended exhibition booth selection program as shown in FIG. The recommended exhibition booth selection program according to the present invention can cause a computer to execute the function shown in FIG. 1 in order to select an exhibition booth according to the user's interest in an exhibition as a recommended visit destination.

  The learning content-based interest determination unit 2 refers to the learning history storage unit 1 in which a learning history indicating the content learned by the user is stored, and the user's interest in each field according to the learning content for each field of the user. A point indicating the degree of the is calculated. The interest determination means 4 for each exhibition booth refers to the exhibition information storage means 3 in which exhibition information indicating the exhibition contents of the exhibition booth opened at the exhibition to be held is stored. A corresponding field is determined, points for learning experiences corresponding to the field are totaled, and points indicating the degree of interest of the user with respect to the exhibition booth are calculated. The recommended exhibition booth selection means 5 preferentially selects the exhibition booth having a high point for each of the exhibition booths, and creates a recommended visit destination list 6 indicating exhibition booths recommended as visit objects for the user.

  When such a recommended exhibition booth selection program is executed by a computer, the interest determination means 2 for each learning content calculates points indicating the degree of interest of the user in each field according to the learning content for each field of the user. . Next, the exhibition booth-specific interest determination means 4 determines a field corresponding to the exhibition contents of each exhibition booth, points for learning experience corresponding to the field are totaled, and a point indicating the degree of interest of the user to the exhibition booth is obtained. Calculated. Then, the recommended exhibition booth selection means 5 preferentially selects an exhibition booth having a high point for each exhibition booth, and creates a recommended visited list 6 indicating exhibition booths to be recommended as users to visit.

  In the present invention, the interest of each user's field is determined based on the user's learning history, the exhibition booth of the exhibition content that the user is likely to be interested in is extracted, and the recommended visited list is generated. By referring to the recommended visited list, the user can efficiently visit the exhibition booth related to the field of interest.

It is a figure which shows the outline of this Embodiment. It is a figure which shows the system configuration example of this Embodiment. It is a figure which shows the hardware structural example of the center server used for this Embodiment. It is a block diagram which shows the function of a center server. It is a figure which shows the information memorize | stored in an exhibition guidance information storage part. It is a figure which shows the example of a data structure of a 1st interest determination table. It is a figure which shows the example of a data structure of a 2nd interest determination table. It is a figure which shows the example of a data structure of the stay scheduled time determination table. It is a figure which shows the example of a data structure of the interest determination table according to booth. It is a figure which shows the data structure example of exhibition DB. It is a figure which shows the example of a data structure of exhibition booth DB. It is a figure which shows the data structure example of learning content DB. It is a figure which shows the example of a data structure of visitor DB. It is a figure which shows the example of a data structure of booth visit history DB. It is a figure which shows the example of a data structure of a visit schedule booth table. It is a figure which shows the example of a data structure of a booth visit order table. It is a figure which shows the example of a data structure of the movement time table between booths. It is a flowchart which shows the procedure of a visit booth list determination process. It is the first half of the flowchart which shows the procedure of a visit schedule booth table preparation process. It is the second half of the flowchart which shows the procedure of a visit schedule booth table preparation process. It is a flowchart which shows the procedure of a visit order determination process. It is a flowchart which shows the procedure of the visit schedule booth cancellation process. It is a flowchart which shows the procedure of a visit schedule booth addition process. It is a flowchart which shows the procedure of a stay time change process. It is a flowchart which shows the procedure of an excess time adjustment process. It is a flowchart which shows the procedure of a reduction time adjustment process. It is a figure which shows the example of the visit schedule notified before the change. It is a figure which shows the example of the visit schedule after a change.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
FIG. 1 is a diagram showing an outline of the present embodiment. As a basic configuration of the present embodiment, a learning history storage unit 1, an interest determination unit 2 according to learning contents, an exhibition information storage unit 3, an interest determination unit 4 by exhibition booth, and a recommended exhibition booth selection unit 5 are provided. .

  The learning history storage unit 1 stores a learning history indicating contents learned by the user (learning contents regarding technology, products, services, etc.). The stored learning history is provided by a learning support server that provides a learning environment to the user using a network such as e-learning.

  The learning content-specific interest determination unit 2 refers to the learning history storage unit 1 and calculates points indicating the degree of interest of the user in each field according to the learning content for each field of the user. For example, the point indicating the degree of interest is set to a higher value as the grade of learning content (beginner, intermediate, advanced, etc.) is higher.

  The exhibition information storage means 3 stores exhibition information indicating the exhibition contents of the exhibition booth that opens at the exhibition to be held. The exhibition information is registered by an operation input, for example, by a system administrator who has seen the announcement of the exhibition.

  The exhibition booth-specific interest determination unit 4 refers to the exhibition information storage unit 3 to determine a field corresponding to the exhibition contents of each exhibition booth, and totals points for learning experience according to the field. Then, the exhibition booth-specific interest determination means 4 calculates a point indicating the degree of interest of the user with respect to the exhibition booth.

  The recommended exhibition booth selection means 5 preferentially selects an exhibition booth having a high point for each exhibition booth, and creates a recommended visit destination list 6 indicating exhibition booths to be recommended as user visit targets. At this time, the recommended exhibition booth selection means 5 can determine an appropriate order of visit in consideration of the travel time between the selected exhibition booths, and can rearrange the recommended exhibition booths according to the order. Also, the recommended exhibition booth selection means 5 can calculate the planned stay time of the exhibition booth according to the degree of interest of the user, and can set an appropriate visit schedule.

  Thereby, first, the points indicating the degree of interest of the user in each field are calculated by the interest determination means 2 by learning content according to the learning content for each field of the user. Next, the exhibition booth-specific interest determination means 4 determines a field corresponding to the exhibition contents of each exhibition booth, points for learning experience corresponding to the field are totaled, and a point indicating the degree of interest of the user to the exhibition booth is obtained. Calculated. Then, the recommended exhibition booth selection means 5 preferentially selects an exhibition booth having a high point for each exhibition booth, and creates a recommended visited list 6 indicating exhibition booths to be recommended as users to visit.

  In this way, it is possible to appropriately determine an exhibition booth in which the user is interested according to the user's past learning history, and to teach the user the exhibition booth that the user is likely to be interested in. As a result, the user can efficiently visit the exhibition booth in which he is interested.

Note that the accuracy of determination of the degree of interest in each field can be increased by referring to not only the learning content but also the past exhibition booth visit history in past exhibitions.
Next, an embodiment of the present invention will be specifically described. In the following embodiment, when visiting an exhibition booth at an exhibition, based on the visitor's past visit history, interest, and learning history, the selection of the booth to visit, the order of visits, and the visit time are optimized, and the visit Educational content that matches the characteristics of visitors more than the latest technical information obtained by doing this.

  FIG. 2 is a diagram illustrating a system configuration example of the present embodiment. As shown in FIG. 2, a center server 100, a client 21, a mail server 23, a learning support server 25, and an exhibition hall management server 210 are connected via a network 10.

  The center server 100 refers to the learning history of the individual of the user 22, plans an optimal booth destination at the exhibition for the user 22, and notifies the user 22 of the optimal location. Further, the center server 100 collects information on the visit destinations of the user 22 at the exhibition, sequentially updates the optimum visit destinations, and notifies the user 22 of the updated information.

  The client 21 is a computer used by the user 22. The mail server 23 is a server computer for performing an electronic mail service via a mobile phone network. The mail server 23 transmits an e-mail to the mobile phone 30 owned by the user 22 via the base station 24 of the mobile phone network. The learning support server 25 provides online services such as provision of learning materials in various fields, sales of books, and application for participation in a group workshop to the user 22.

  The mobile phone 30 has an e-mail transmission / reception function in addition to the telephone function. Further, the mobile phone 30 has an IC tag 31 built therein. The IC tag 31 stores identification information for uniquely identifying the user 22 who uses the mobile phone 30.

  In the exhibition hall 200, an exhibition hall management server 210 is installed. The exhibition hall management server 210 is connected to IC tag readers 221, 231, 241, 251, 261, and 271 provided in the exhibition booths 220, 230, 240, 250, 260, and 270 in the exhibition hall 200.

  The IC tag readers 221, 231, 241, 251, 261, and 271 read identification information in the IC tag 31 when the IC tag 31 built in the mobile phone 30 approaches a predetermined range, and display the exhibition hall management server 210. Send to. Further, the IC tag readers 221, 231, 241, 251, 261, 271 detect that the nearby mobile phone 30 has gone out of the predetermined range by not being able to receive information from the IC tag 31, The exhibition hall management server 210 is notified that the mobile phone 30 is out of the predetermined range.

Here, with reference to FIG. 2, the flow of service provision to the user using the embodiment will be described.
First, the user 22 performs a membership procedure for the center server 100 using the client 21. At that time, the user 22 inputs information for determining the knowledge level regarding the exhibition booth. For example, age, gender, job type, work history, holding qualifications / skills, learning history, seminar attendance history, exhibition booth visit history, reading history, and the like. Note that when the user 22 is receiving learning support in the learning support server 25, the center server 100 can acquire information on the knowledge level from the learning support server 25. When the membership procedure is completed, you will be given an ID and password to log in on the dedicated page.

  Next, the user 22 first logs into the member page in order to obtain information necessary for a certain business. Specifically, the user 22 accesses the center server 100 using the client 21 and inputs an ID and a password. Then, for example, exhibition candidates within three months from now are displayed on the screen of the client 21.

  The user 22 selects one exhibition and inputs the planned stay time. Then, the center server 100 refers to the knowledge level of the user 22 and displays a list of exhibition booths (visited) that are estimated to be related based on the importance level registered in advance based on the user's business and interest member information. (Destination list). At this time, the user 22 can delete what is deemed inappropriate from the displayed list at this stage. In addition, the user 22 can select an exhibition booth other than the displayed one from the list and add it to the visited site.

  Next, the center server 100 refers to the work / qualification acquisition / learning history of the user 22 and, when it is determined that pre-learning is necessary at the exhibition booth selected as a visit destination, selects the corresponding learning content. Then, the content information is displayed on the client 21. Here, when the user 22 purchases and takes the content, the learning history is registered in the learning support server 25. Then, the learning history of the content that has been taken is provided from the learning support server 25 to the center server 100.

  Based on the above results, based on the location information of the exhibition booths at the exhibition hall, the center server 100 determines the list of exhibition booths to be finally visited, the order of visits, and the scheduled stay time at each exhibition booth. . Then, the determination result is displayed on the client 21.

  On the day of the exhibition, the user 22 visits the exhibition hall 200 with the mobile phone 30 incorporating the IC tag 31. In the exhibition hall 200, when the user 22 holds the mobile phone 30 and actually visits the exhibition booth, the IC tag reader installed in each exhibition booth sends the exhibition booth ID, arrival time, and departure time logs to the center. .

  If there is a difference from a preset visit schedule (visit order, staying time, etc.), the center server 100 rearranges the priority order of the exhibition booths to be visited each time and adjusts the planned staying time. Then, the center server 100 transmits the changed change schedule to the mobile phone 30 by mail.

  After the exhibition visit, the center server 100 refers to the learning history among the themes related to all visited exhibition booths, and if there is an item to be newly learned, transmits the contents to the client 21 to thereby allow the user to 22 to present. When the user 22 actually takes the learning item, the learning history is updated.

In this way, the visit schedule of the exhibition booth can be optimized. Moreover, it is possible to efficiently obtain prior knowledge about the exhibition booth scheduled to be visited.
Furthermore, it will be easier to deepen the knowledge gained at the exhibition booth. Specifically, they can efficiently learn about the latest trends in corporate training, e-learning, technology acquired from books, and knowledge, and can be effectively linked to the next learning.

Next, functions necessary for realizing the present embodiment will be described in detail.
FIG. 3 is a diagram illustrating a hardware configuration example of the center server used in the present embodiment. The entire center server 100 is controlled by a CPU (Central Processing Unit) 101. A random access memory (RAM) 102, a hard disk drive (HDD) 103, a graphic processing device 104, an input interface 105, and a communication interface 106 are connected to the CPU 101 via a bus 107.

  The RAM 102 temporarily stores at least part of an OS (Operating System) program and application programs to be executed by the CPU 101. The RAM 102 stores various data necessary for processing by the CPU 101. The HDD 103 stores an OS and application programs.

  A monitor 11 is connected to the graphic processing device 104. The graphic processing device 104 displays an image on the screen of the monitor 11 in accordance with a command from the CPU 101. A keyboard 12 and a mouse 13 are connected to the input interface 105. The input interface 105 transmits a signal transmitted from the keyboard 12 or the mouse 13 to the CPU 101 via the bus 107.

  The communication interface 106 is connected to the network 10. The communication interface 106 transmits / receives data to / from another computer via the network 10.

  With the hardware configuration as described above, the processing functions of the present embodiment can be realized. Although FIG. 3 shows the hardware configuration of the center server 100, the client 21 and the exhibition hall management server 210 can also be realized with the same hardware configuration.

  FIG. 4 is a block diagram illustrating functions of the center server. The center server 100 includes an exhibition guide information storage unit 110, a booth visit order calculation unit 130, an exhibition information notification unit 140, and a visit destination information update unit 150.

The exhibition guide information storage unit 110 stores information on exhibitions to be held and personal learning history.
The booth visit order calculation unit 130 refers to the information in the exhibition guide information storage unit 110, determines knowledge contents based on the user's learning history, and determines the visit order of the exhibition booth according to the user's knowledge. . The basic functions shown in FIG. 1 are included in the booth visit order calculation unit 130.

  The exhibition information notification unit 140 notifies the user of the exhibition booth visit order determined by the booth visit order calculation unit 130. Specifically, the exhibition information notification unit 140 notifies the client 21 used by the user 22 of the exhibition booth and the optimal order of the exhibition booth by e-mail or the like to the client 21 used before the exhibition visit. To do. In addition, if the user 22 is visiting the exhibition hall 200, the exhibition information notification unit 140 notifies the latest information in the order of visiting the exhibition booth by e-mail to the mobile phone used by the user 22.

  The visited site information update unit 150 acquires from the exhibition site management server 210 information related to the exhibition booth that the user 22 visited while visiting the exhibition site 200, and registers the content in the exhibition guide information storage unit 110.

Next, information stored in the exhibition guide information storage unit 110 will be described in detail.
FIG. 5 is a diagram illustrating information stored in the exhibition guide information storage unit. As shown in FIG. 5, the exhibition guide information storage unit 110 includes a first interest determination table 111, a second interest determination table 112, a scheduled stay time determination table 113, an interest determination table by booth 114, and an exhibition database. (DB) 115, exhibition booth DB 116, learning content DB 117, visitor DB 118, booth visit history DB 119, scheduled visit booth table 120, booth visit order table 121, and inter-booth travel time table 122 are stored.

  In the first interest determination table 111, interest determination criteria based on the learning history of the user 22 are defined. In the second interest determination table 112, interest determination criteria based on the visit history of the user 22 to the exhibition booth are defined. The planned stay time determination table 113 stores the standard for calculating the planned stay time at the exhibition booth according to the degree of interest of the user 22. The booth-specific interest determination table 114 stores a determination result for determining how much interest the user 22 shows in each exhibition booth. The exhibition database (DB) 115 stores information on exhibitions. The exhibition booth DB 116 stores information on exhibition booths in the exhibition. The learning content DB 117 stores e-learning material information. The visitor DB 118 stores information on visitors (users). The booth visit history DB 119 stores the visit history of the user's exhibition booth. The scheduled visit booth table 120 stores information on exhibition booths that the user 22 plans to visit. The booth visit order table 121 stores the visit status of exhibition booths actually visited by the user 22. The time required for movement between exhibition booths is stored in the movement time table 122 between booths.

Details of each piece of information shown in FIG. 5 will be described below.
FIG. 6 is a diagram illustrating a data structure example of the first interest determination table. In the first interest determination table 111, points for each learning content for determining the user's interest according to the content learned by the user in the past are registered. Specifically, the first interest determination table 111 has columns for group training, e-learning, book subscription, and news subscription.

  The group training column is divided into detailed columns for advanced, intermediate, and elementary levels. In the advanced, intermediate and beginner columns, numerical values indicating the degree of interest of the user in the field corresponding to the contents of the group training when the user participates in the group training of each rank are set. The higher the rank (closer to advanced), the higher the degree of interest.

  The e-learning column is divided into detailed columns for advanced, intermediate and beginners. In the advanced, intermediate and beginner columns, numerical values are set that indicate the degree of interest of the user in the field corresponding to the content of the e-learning when the e-learning of each rank is taken. The higher the rank, the higher the degree of interest.

  The book subscription column is divided into detailed columns for advanced, intermediate and beginner level. In the advanced, intermediate, and beginner classes, numerical values are set that indicate the degree of interest of the user in the field corresponding to the contents of the book when each rank of the book is subscribed. The higher the rank, the higher the degree of interest.

  The news subscription column is divided into specialized and general details. In the special field, a numeric value indicating the degree of interest of the user in the field corresponding to the content of the news when subscribing to news of specialized information (for example, online news distributed on the Internet) is set. The In the general column, a numerical value indicating the degree of interest of the user in the field corresponding to the content of the news when subscribing to news of general information is set. Specialized news subscriptions are set to be more interesting than general news subscriptions.

  FIG. 7 is a diagram illustrating a data structure example of the second interest determination table. The second interest determination table 112 defines a calculation formula for determining the user's interest according to the exhibition booth visited by the user. Specifically, the second interest determination table 112 has columns for stay time (n), index, and number of points.

  In the stay time column, the time during which the user stayed in the exhibition booth visited is set. An arbitrary numerical value (index) is set in advance in the index column. In the point number column, points indicating the user's interest in the field corresponding to the exhibition booth visited by the user are set. Specifically, the result obtained by dividing the stay time by the index is set in the point number column.

  FIG. 8 is a diagram illustrating an example of the data structure of the scheduled stay time determination table. In the planned stay time determination table 113, a correspondence relationship for determining the planned stay time of the user at the exhibition booth corresponding to the relevant field is set according to the degree of interest of the user in any field. Specifically, the planned stay time determination table 113 includes columns for the number of points and the planned stay time.

  In the point number column, a point number range indicating the degree of interest of the user in an arbitrary field is set. In the column of scheduled stay time, the planned stay time corresponding to the range of the number of points is set in units of minutes.

  By referring to this scheduled stay time determination table 113, it is possible to determine the recommended scheduled stay time according to the degree of interest. For example, for an exhibition booth in a field where the number of points of interest is 2.5, a 10-minute stay is recommended.

  FIG. 9 is a diagram illustrating an example of the data structure of the booth-specific interest determination table. In the booth-specific interest determination table 114, information indicating how much the user is interested in each exhibition booth is set together with information serving as a calculation source thereof. Specifically, the booth-specific interest determination table 114 includes columns for booth ID, event ID, event category, grade, event name, date and time of occurrence, and points.

  In the booth ID column, an identification number of the exhibition booth is set. In the event ID column, an identification number indicating a user learning event related to a field related to the corresponding exhibition booth is set. In the event category column, an event category (learning content or exhibition booth visit) is set. In the grade column, the level of learning content in the learning event is set.

  In the event name column, the name of the event that has occurred is set. If it is a learning event, learning content is set. If it is a visit to the exhibition booth, the contents of the exhibition are set. In the occurrence date and time column, the date and time when the event occurred is set. In the point column, points indicating the degree of interest calculated according to the event that has occurred are set. Note that the total value of points is set at the bottom of the point column.

  FIG. 10 is a diagram illustrating an example of the data structure of the exhibition DB. In the exhibition DB 115, information such as an exhibition schedule and a venue is set. Specifically, the exhibition DB 115 includes columns for exhibition ID, name, start date, end date, and venue.

  An exhibition identification number is set in the exhibition ID column. The name of the exhibition is set in the name column. An exhibition start date is set in the start date column. In the end date column, the exhibition end date is set. The venue for the exhibition is set in the venue column.

  FIG. 11 is a diagram showing an example of the data structure of the exhibition booth DB. In the exhibition booth DB 116, information such as companies participating in the exhibition and the location of the exhibition booth is set. Specifically, the exhibition booth DB 116 includes columns for exhibition ID, booth ID, exhibiting company, theme, and block.

  An exhibition identification number is set in the exhibition ID column. In the booth ID column, an identification number of an exhibition booth that opens a store at the exhibition is set. The name of the company that opens the store in the exhibition booth is set in the column of the exhibiting company. The theme of the exhibition content is set in the theme column. In the block column, identification information indicating the position of the exhibition booth in the exhibition is set.

  FIG. 12 is a diagram illustrating a data structure example of the learning content DB. In the learning content DB 117, information related to learning materials that the user can learn via the network is registered. Specifically, the learning content DB 117 includes columns for a booth ID, a learning content ID, a name, a providing form, a providing source, and a price.

  In the booth ID column, an ID of an exhibition booth related to the learning content is set. In the learning content ID column, an identification number for uniquely identifying the learning content is set. In the name column, the name of the learning content is set. The form (e-learning, book, group training, etc.) when applying the learning content is set in the provision form column. The name of the company that provides the learning material is set in the provider column. In the price column, the selling price of the learning material is set.

  FIG. 13 is a diagram illustrating a data structure example of the visitor DB. In the visitor DB 118, information related to a user who receives a service for providing an exhibition visit schedule is set. Specifically, the visitor DB 118 has columns of visitor ID, name, affiliation, and department.

  In the column of visitor ID, an identification number of a user (visitor) who visited the exhibition booth is set. The name of the visitor is set in the name column. In the affiliation column, the name of the company to which the visitor belongs is set. The department to which the visitor belongs is set in the department column.

  FIG. 14 is a diagram illustrating a data structure example of the booth visit history DB. In the booth visit history DB 119, information related to the history of the user visiting the exhibition booth is set. Specifically, the booth visit history DB 119 includes columns for a visitor ID, an exhibition ID, a booth ID, a visit date, and a stay time.

  In the visitor ID column, a user identification number is set. In the exhibition ID column, the identification number of the exhibition visited by the user is set. In the booth ID column, an identification number of the exhibition booth visited by the user is set. In the visit date column, a date visited by the user is set. In the stay time column, the time during which the user stayed in the exhibition booth is set.

  FIG. 15 is a diagram illustrating an example of the data structure of the scheduled visit booth table. In the planned visit booth table 120, an optimal exhibition booth visit schedule presented to the user is set. Specifically, the scheduled visit booth table 120 has columns for exhibition ID, priority, booth ID, points, recommended stay time, and visitability determination.

  In the exhibition ID column, an identification number of the exhibition to be held is set. In the priority column, the priority of visits to the exhibition booth exhibiting at the exhibition is set. The priority indicates that the smaller the value, the higher the priority. An identification number of the exhibition booth is set in the booth ID column. In the point column, a calculation result of the degree of interest of the user for the corresponding exhibition booth is set. In the recommended stay time column, a recommended value of the stay time at the corresponding exhibition booth is set in minutes. In the column for determining whether or not visit is possible, a determination result as to whether or not visit is possible is set. “Y” is set if the visit is possible, and “n” is set if the visit is impossible.

  FIG. 16 is a diagram illustrating an example of the data structure of the booth visit order table. In the booth visit order table 121, the exhibition booth visit status of the user on the day when the user participated in the exhibition is set. Specifically, the booth visit order table 121 includes an initial visit order, a modified visit order, a booth ID, points, a travel time to the next booth, an initial recommended stay time, an actual stay time, a prediction difference, an initial visit propriety determination, A column for determining whether or not to allow a modified visit and a visit record is provided.

  In the column of the initial visit order, the planned visit order when scheduling is set in advance. In the corrected visit order column, the visit order after being corrected according to the situation of the day is set. An identification number of the exhibition booth is set in the booth ID column. In the point column, a value indicating the degree of interest in the exhibition booth is set. In the column for the time to move to the next booth, the time to move to the next booth scheduled in the order of visit is set in seconds. In the column of initial recommended stay time, the recommended stay time when scheduled in advance is set in minutes.

  In the actual staying time column, the staying time when actually visiting is set in minutes. The difference between the recommended stay time and the actual stay time (actual stay time−recommended stay time) is set in minutes in the column of the predicted difference. In the initial visitability determination column, the visitability determination result determined in advance when scheduling is set. “1” is set when it is determined that the visit is possible, and “0” is set when it is determined that the visit is impossible. The correction visitability determination column shows a determination result as to whether or not the corresponding exhibition booth can be visited after the visit order is corrected. The visit result column indicates whether or not a visit to the corresponding exhibition booth has been made. “1” is set when visiting, and “0” is set when not visiting.

  In the example of FIG. 16, it was possible to visit the exhibition booth with the booth ID “1312”. However, since the staying time at the other destination exceeds the recommended staying time, it is possible to visit the exhibition booth. It is gone.

  FIG. 17 is a diagram illustrating a data structure example of the inter-booth travel time table. The time required to move between the exhibition booths is set in the inter-booth moving time table 122. Specifically, for each combination of booth IDs that identify exhibition booths, the travel time between the exhibition booths is set in seconds.

  In the center server 100 having the data as described above, the booth visit order calculation unit 130 determines the optimum exhibition booth visit destination and visit order according to the user's interest for the user 22 participating in any exhibition. Calculate. Hereinafter, the process performed by the booth visit order calculation unit 130 will be described in detail.

FIG. 18 is a flowchart showing the procedure of the visit booth list determination process. In the following, the process illustrated in FIG. 18 will be described in order of step number.
[Step S <b> 11] The booth visit order calculation unit 130 executes a process of creating the planned visit booth table 120. In the scheduled visit booth table 120, information such as the degree of user interest (points) and the planned stay time for each exhibition booth that opens in the exhibition is set. Details of this processing will be described later.

[Step S12] The booth visit order calculation unit 130 rearranges the exhibition booths included in the planned visit booth table 120 in descending order of points indicating the degree of interest.
[Step S13] The booth visit order calculation unit 130 refers to the information on the planned exhibition stay time in the planned visit booth table 120.

[Step S14] The booth visit order calculation unit 130 deletes booths below the points that do not fit within the stay time.
[Step S15] The booth visit order calculation unit 130 performs a visit order determination process. Details of this processing will be described later.

FIG. 19 is the first half of a flowchart showing a procedure of a visit schedule booth table creation process. In the following, the process illustrated in FIG. 19 will be described in order of step number.
[Step S21] The booth visit order calculation unit 130 extracts one unextracted exhibition booth from the exhibition booth DB 116.

  [Step S22] The booth visit order calculation unit 130 acquires the learning history of the user 22 from the learning support server 25, and determines whether there is a learning history of the same category (field) as the theme of the exhibition booth. When there is a learning history, it progresses to step S23, and when there is no learning history, it progresses to step S26.

  For example, when the common technical terms are included in the theme of the exhibition booth and the name of the learning content, the same field can be determined. In addition, by setting the field to which the learning content or the exhibition booth belongs in the center server 100 in advance, the identity of the field to which the item belongs may be determined.

[Step S23] The booth visit order calculation unit 130 extracts one of the unextracted learning events from the learning history of the same category as the theme of the exhibition booth.
[Step S24] The booth visit order calculation unit 130 refers to the first interest determination table 111 and calculates points (learning points) corresponding to the learning events extracted in step S23.

  [Step S25] The booth visit order calculation unit 130 determines whether there is an unextracted learning event among the extracted learning events in the same category as the exhibition booth. If there is an unextracted learning event, the process proceeds to step S23. If there is no unextracted learning event, the process proceeds to step S26.

  [Step S26] The booth visit order calculation unit 130 refers to the booth visit history DB 119 and determines whether or not there is a past visit history to another exhibition booth in the same category as the extracted exhibition booth. The category to which each exhibition booth belongs is determined by referring to the theme column in the exhibition booth DB 116 provided for each exhibition. If there is a visit history, the process proceeds to step S27. If there is no visit history, the process proceeds to step S31 (see FIG. 20).

[Step S27] The booth visit order calculation unit 130 extracts a visit event (corresponding record) of the same category as the exhibition booth extracted from the booth visit history DB 119.
[Step S28] The booth visit order calculation unit 130 extracts stay time information from the extracted visit events.

  [Step S29] The booth visit order calculation unit 130 refers to the second interest determination table 112 and calculates a point (visit point) corresponding to the visit event extracted in step S27.

  [Step S30] The booth visit order calculation unit 130 determines whether there is an unextracted visit event among visit events of the same category as the extracted exhibition booth. If there is an unextracted visit event, the process proceeds to step S27. If there is no unextracted visit event, the process proceeds to step S31 (see FIG. 20).

FIG. 20 is the second half of the flowchart showing the procedure of the scheduled visit booth table creation process. In the following, the process illustrated in FIG. 20 will be described in order of step number.
[Step S31] The booth visit order calculation unit 130 adds the learning points and the visit points. Thereafter, the booth visit order calculation unit 130 generates a booth-specific interest determination table 114 corresponding to the exhibition booth for which the points have been calculated, and stores it in the exhibition guide information storage unit 110.

[Step S32] The booth visit order calculation unit 130 refers to the planned stay time determination table 113.
[Step S <b> 33] The booth visit order calculation unit 130 determines a planned stay time corresponding to the added points. Thus, the recommended stay time is determined such that the higher the point (the higher the degree of interest), the longer the stay time.

[Step S34] The booth visit order calculation unit 130 adds information on the exhibition booth extracted in step S21 to the planned visit booth table 120.
[Step S35] The booth visit order calculation unit 130 determines whether there are other unextracted exhibition booths. If there is an unextracted exhibition booth, the process proceeds to step S21 (see FIG. 19). If there is no unextracted exhibition booth, the process proceeds to step S36.

  [Step S36] The booth visit order calculation unit 130 sets the priority of each exhibition booth so that the higher the display booth point set in the planned booth booth table 120, the higher the priority (the lower the priority value). Set.

  [Step S37] The booth visit order calculation unit 130 selects an exhibition booth that can be visited within the staying time at the exhibition hall 200 set in advance by the user 22 from the higher priority order, and is able to visit (visit availability determination “ y "). Also, the booth visit order calculation unit 130 sets an exhibition booth that cannot be visited within the stay time to be unvisitable (visit availability determination “n”). At this time, the booth visit order calculation unit 130 makes a determination based on the total value of the recommended stay times of each exhibition booth without considering the travel time between the exhibition booths. Thereafter, the process ends.

FIG. 21 is a flowchart illustrating the procedure of the visit order determination process. In the following, the process illustrated in FIG. 21 will be described in order of step number.
[Step S <b> 41] The booth visit order calculation unit 130 installs the exhibition booth having the highest point from the planned visit booth table 120 at the top of the booth visit order table 121.

  [Step S42] The booth visit order calculation unit 130 extracts from the planned visit booth table 120 the exhibition booth closest to the exhibition booth added immediately before the planned visit booth table 120 (the travel time is the shortest).

  [Step S43] The booth visit order calculation unit 130 determines whether there are a plurality of corresponding exhibition booths. When a plurality of exhibition booths are extracted, the process proceeds to step S44. If only one exhibition booth is extracted, the process proceeds to step S46.

[Step S44] The booth visit order calculation unit 130 compares the extracted points of the exhibition booth.
[Step S45] The booth visit order calculation unit 130 selects an exhibition booth with a higher point as an additional target.

  [Step S46] The booth visit order calculation unit 130 adds the extracted exhibition booths (the exhibition booth selected in step S45 when a plurality of exhibition booths are extracted) to the next order in the booth visit order table 121.

  [Step S47] The booth visit order calculation unit 130 determines whether or not there is an unextracted exhibition booth that is a visit candidate in the planned visit booth table 120. If there is an unextracted exhibition booth, the process proceeds to step S42. If there is no unextracted exhibition booth, the process ends.

  The booth visit order table 121 is created as described above. Then, the contents of the booth visit order table 121 are sent to the client 21 by the exhibition information notification unit 140.

  When the user 22 visits the exhibition hall 200, the exhibition booth visited by the user 22 and the staying time are monitored by the IC tag 31 built in the mobile phone 30. The monitoring result is sent from the exhibition hall management server 210 to the center server 100. When the action of the user 22 deviates from the schedule, the center server 100 reviews the booth visit order.

For example, when the user 22 skips an exhibition booth scheduled to be visited and visits another exhibition booth, the center server 100 performs a visit scheduled booth cancellation process.
FIG. 22 is a flowchart showing the procedure of the visit scheduled booth cancellation process. In the following, the process illustrated in FIG. 22 will be described in order of step number.

  [Step S51] The booth visit order calculation unit 130 detects that the planned booth has been skipped. That is, the booth visit order calculation unit 130 skips the exhibition booth scheduled to be visited next on the booth visit order table 121, and when the user 22 visits the next exhibition booth, the visit planned booth is skipped. Judge that

  [Step S52] The booth visit order calculation unit 130 determines whether there are other booths that are scheduled to visit (excluding skipped booths that are skipped) among the unvisited booths. If there is a booth to be visited, the process proceeds to step S53. If there is no booth to be visited, the process ends.

[Step S53] The booth visit order calculation unit 130 performs a decrease time adjustment process. Details of this processing will be described later.
[Step S54] The booth visit order calculation unit 130 performs visit order determination processing (see FIG. 21). Thereafter, the process ends.

In this way, when the user 22 skips the exhibition booth scheduled to be visited, the visit order is rearranged.
Further, when the user 22 visits an unscheduled exhibition booth, a scheduled visit booth addition process is performed.

FIG. 23 is a flowchart illustrating a procedure of a visit planned booth addition process. In the following, the process illustrated in FIG. 23 will be described in order of step number.
[Step S61] The booth visit order calculation unit 130 detects that the user 22 has stayed at an exhibition booth that is not scheduled to be visited.

[Step S62] The booth visit order calculation unit 130 executes an excess time adjustment process. Details of this processing will be described later.
[Step S63] The booth visit order calculation unit 130 executes a visit order determination process (see FIG. 21). Thereafter, the process ends.

In this way, when the user 22 visits an exhibition booth that is not scheduled to be visited, the visit order is rearranged.
Moreover, it does not necessarily stay at the exhibition booth visited by the user 22 according to the scheduled stay time. Therefore, when the user 22 leaves the exhibition booth where the user 22 stayed, the booth visit order calculation unit 130 performs time adjustment (stay time change processing) according to the stay time at the exhibition booth.

FIG. 24 is a flowchart showing the procedure of the stay time change process. In the following, the process illustrated in FIG. 24 will be described in order of step number.
[Step S71] The booth visit order calculation unit 130 detects the actual difference (the difference between the scheduled time and the actual time) of the booth stay time.

  [Step S <b> 72] The booth visit order calculation unit 130 calculates “actual stay time−recommended stay time” and determines whether the actual difference is “+” or “−”. If the predicted difference is “+”, the process proceeds to step S73. On the other hand, if the actual difference is “−”, the process proceeds to step S74.

[Step S73] The booth visit order calculation unit 130 executes an excess time adjustment process. Details of this processing will be described later. Thereafter, the process ends.
[Step S74] The booth visit order calculation unit 130 executes a decrease time adjustment process. Details of this processing will be described later. Thereafter, the process ends.

FIG. 25 is a flowchart showing the procedure of the excess time adjustment process. In the following, the process illustrated in FIG. 25 will be described in order of step number.
[Step S81] The booth visit order calculation unit 130 refers to the booth visit order table 121, and the total time when all the exhibition booths that are determined to be visitable are visited is the planned stay time of the exhibition (by the user 22 in advance). It is determined whether or not the set value is exceeded. If the time is exceeded, the process proceeds to step S82. If the time has not exceeded, the process proceeds to step S83.

  [Step S82] The booth visit order calculation unit 130 has the lowest display order (see the planned visit booth table 120) among the exhibition booths that have not been visited (visit result “0”) in the booth visit order table 121. The booth is not allowed to be visited (the value of the corrected visit possibility judgment is “0”). Thereafter, the process proceeds to step S81.

[Step S83] The booth visit order calculation unit 130 executes visit order determination processing (see FIG. 21). Thereafter, the process ends.
FIG. 26 is a flowchart illustrating the procedure of the decrease time adjustment process. In the following, the process illustrated in FIG. 26 will be described in order of step number.

  [Step S91] The booth visit order calculation unit 130 calculates the required time when all the exhibition booths that can be visited are visited. For example, when the time is reduced due to cancellation of the visit to the planned booth, the reduced required time is calculated.

  [Step S92] The booth visit order calculation unit 130 refers to the booth visit order table 121 and determines whether there is an exhibition booth that can be visited in the remaining time. If there is an exhibition booth that can be visited in the remaining time, the process proceeds to step S93. If there is no corresponding exhibition booth, the process ends.

  [Step S93] The booth visit order calculation unit 130 determines whether there are a plurality of exhibition booths that can be visited in the remaining time. If there are more than one, the process proceeds to step S94. If there is only one, the process proceeds to Step S96.

[Step S94] The booth visit order calculation unit 130 compares the points of each exhibition booth that can be visited in the remaining time.
[Step S95] The booth visit order calculation unit 130 selects the exhibition booth with the highest points.

[Step S <b> 96] The booth visit order calculation unit 130 sets the planned exhibition booth to be scheduled to be visited (the value of whether or not the corrected visit is permitted is “1”).
[Step S97] The booth visit order calculation unit 130 determines whether there are other exhibition booths that are candidates for visits. If there is a corresponding exhibition booth, the process proceeds to step S91. If there is no corresponding exhibition booth, the process ends.

In this way, whenever the booth visit schedule is changed as appropriate, the changed schedule is notified by e-mail to the mobile phone 30 used by the user 22.
FIG. 27 is a diagram illustrating an example of a visit schedule notified before the change. This shows a visit schedule sent from the center server 100 to the mobile phone 30 on the morning of the visit day to the exhibition hall 200. On the screen 32 of the display device of the mobile phone 30, a list of booths scheduled to be visited on the day of the visit is displayed.

Thereafter, when the user 22 visits the exhibition hall and visits the exhibition booth, the visit schedule is updated based on the actual staying time, and the updated information is notified to the mobile phone 30.
FIG. 28 is a diagram illustrating an example of the visit schedule after the change. The screen 32 of the mobile phone 30 displays a list of exhibition booths that are included in the visit schedule and have not been visited. Among them, the text “Cancel” is displayed at the exhibition booths that can no longer be visited in time.

  In this way, it is possible to notify the user of an appropriate order of visiting the exhibition booth and to notify the user by sequentially updating the visit schedule when the visit of the day does not proceed as scheduled.

  In cooperation with the learning support server 25, it is possible to propose to the user to take education content related to the exhibition booth scheduled to visit before the visit, if necessary. In addition, after visiting the booth, the exhibition booth that was visited is extracted with reference to past visits and learning histories related to new technologies, products, and services for visitors, and learning content related to those technologies, products, and services. It is also possible to propose a course.

The learning history after participating in the exhibition will be used to optimize the next exhibition visit schedule. As a result, it is possible to improve the determination accuracy of the degree of interest of the user in each field.
In the above example, the IC tag 31 built in the mobile phone 30 is read by the IC tag readers 221, 231, 241, 251, 261, and 271, so that the user 22 can be visited. The destination of the user 22 can be grasped by the method. For example, the user 22 reads the barcode set in the exhibition booth with the mobile phone 30 and transmits the content to the center server 100. The center server 100 identifies the exhibition booth visited by the user 22 based on the sent barcode information.

  The above processing functions can be realized by a computer. In this case, a program describing the processing contents of the functions that the center server should have is provided. By executing the program on a computer, the above processing functions are realized on the computer. The program describing the processing contents can be recorded on a computer-readable recording medium. Examples of the computer-readable recording medium 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 disc include a DVD (Digital Versatile Disc), a DVD-RAM (Random Access Memory), a CD-ROM (Compact Disc Read Only Memory), and a CD-R (Recordable) / RW (ReWritable). Magneto-optical recording media include MO (Magneto-Optical disk).

  When distributing the program, for example, a portable recording medium such as a DVD or a CD-ROM in which the program is recorded is sold. It is also possible to store the program in a storage device of a server computer and transfer the program from the server computer to another computer via a network.

  The computer that executes the program stores, for example, the program recorded on the portable recording medium or the program transferred from the server computer in its own storage device. Then, the computer reads the program from its own storage device and executes processing according to the program. The computer can also read the program directly from the portable recording medium and execute processing according to the program. In addition, each time the program is transferred from the server computer, the computer can sequentially execute processing according to the received program.

The present invention is not limited to the above-described embodiment, and various modifications can be made without departing from the gist of the present invention.
The main technical features of the embodiment described above are as follows.

(Supplementary note 1) In the recommended exhibition booth selection program for selecting an exhibition booth according to the user's interest at the exhibition as a recommended visit,
Computer
Learning that calculates learning points that indicate the degree of interest of the user in each field according to the learning contents for each field of the user with reference to a learning history storage unit that stores a learning history indicating the content learned by the user Interest judging means by contents,
Refer to the exhibition information storage means storing the exhibition information indicating the exhibition contents of the exhibition booth that will be opened at the exhibition to be held, determine the field corresponding to the exhibition contents of each exhibition booth, and in that field Interest booth-specific interest determination means for calculating points indicating the degree of interest of the user with respect to the exhibition booth,
A recommended exhibition booth selection means for preferentially selecting the exhibition booth having a high point for each of the exhibition booths and creating a recommended visited destination list indicating an exhibition booth recommended as a visit target of the user;
Recommended exhibition booth selection program characterized by functioning as

(Supplementary note 2)
Refer to the exhibition visit history storage means in which the exhibition visit history related to the exhibition booth visited by the user at the exhibition held in the past is stored, and according to the visit experience to the exhibition booth for each field of the user, Function as an interest judging means by exhibition visit history to calculate points indicating the degree of interest of the user in each field,
The exhibition booth-specific interest determination means calculates points indicating the degree of interest of the user with respect to the exhibition booth by adding up points for learning experience and visit experience according to the field corresponding to the exhibition contents of the exhibition booth. A recommended exhibition booth selection program as described in appendix 1, characterized by:

(Supplementary note 3)
Information on the exhibition booth visited by the user at the exhibition hall currently being held is sequentially acquired, and functions as a visitor information update means for updating the visitor information indicating the exhibition booth visited by the user at the exhibition hall being held,
The recommended exhibition booth selection program according to appendix 1, wherein the recommended exhibition booth selection means updates the recommended visit destination list each time the visit destination information is updated.

  (Additional remark 4) The said recommended exhibition booth selection means calculates an appropriate order of visit based on the movement time between the selected exhibition booths, and rearranges the said recommended visited list according to the order of visit. 1 recommended exhibition booth selection program.

  (Supplementary Note 5) The recommended exhibition booth selection means calculates the stay time at each exhibition booth according to the degree of interest of the user with respect to the selected exhibition booth, and visits each exhibition booth according to the stay time The recommended exhibition booth selection program according to appendix 1, characterized by determining a schedule of

(Appendix 6) In a recommended exhibition booth selection method for selecting an exhibition booth according to the user's interest at an exhibition as a recommended visit by a computer,
The learning content-based interest determination means refers to a learning history storage means in which a learning history indicating the content learned by the user is stored, and according to the learning content for each field of the user, the interest of the user in each field Calculate the point indicating the degree,
The exhibition booth interest determination means refers to the exhibition information storage means storing the exhibition information indicating the exhibition contents of the exhibition booth opened at the exhibition to be held, and corresponds to the exhibition contents of each exhibition booth. Determine the field, total points for learning experience according to the field, calculate points indicating the degree of interest of the user for the exhibition booth,
The recommended exhibition booth selection means preferentially selects the exhibition booth having a high point for each of the exhibition booths, and creates a recommended visited destination list indicating the exhibition booth recommended as the visit target of the user.
Recommended exhibition booth selection method characterized by that.

(Supplementary note 7) In a recommended exhibition booth selection device for selecting an exhibition booth according to the user's interest in an exhibition as a recommended visit destination,
Learning that calculates learning points that indicate the degree of interest of the user in each field according to the learning contents for each field of the user with reference to a learning history storage unit that stores a learning history indicating the content learned by the user Interest judging means by contents,
Refer to the exhibition information storage means storing the exhibition information indicating the exhibition contents of the exhibition booth that will be opened at the exhibition to be held, determine the field corresponding to the exhibition contents of each exhibition booth, and in that field The interest determination means for each exhibition booth, which calculates the points indicating the degree of interest of the user with respect to the exhibition booth,
A recommended exhibition booth selection means for preferentially selecting the exhibition booth having a high point for each of the exhibition booths and creating a recommended visited destination list indicating an exhibition booth recommended as a visit target of the user;
A recommended exhibition booth selection device characterized by comprising:

DESCRIPTION OF SYMBOLS 1 Learning history memory | storage means 2 Interest determination means according to learning content 3 Exhibition information storage means 4 Interest determination means according to exhibition booth 5 Recommended exhibition booth selection means 6 Recommended visit list

Claims (2)

In the recommended exhibition booth selection program for selecting an exhibition booth according to the user's interest at the exhibition as a recommended visit destination,
On the computer,
With reference to a learning history storage means storing a learning history indicating learning content learned by the user, for each learning content learned by the user, a point indicating the degree of interest of the user with respect to the learning content is calculated,
Refer to the exhibition information storage means storing the exhibition information indicating the exhibition contents of each of the plurality of exhibition booths opened in the exhibition to be held, and the same technical terms as the theme of the exhibition contents of each of the plurality of exhibition booths Points indicating the degree of interest of the user with respect to the learning content learned by the user in the same field as the exhibition booth for each exhibition booth And calculating points indicating the degree of interest of the user for each of the plurality of exhibition booths,
According to the points calculated for each of the plurality of exhibition booths, the recommended stay time of each of the plurality of exhibition booths is set, and the total of the recommended visit time of the selected exhibition booth is scheduled for the exhibition set in advance Preferentially select an exhibition booth with a high point from the plurality of exhibition booths within the range that does not exceed the staying time, and recommend visits that set information indicating that the selected exhibition booth can be visited Create a list,
A recommended exhibition booth selection program characterized by executing processing. A recommended exhibition booth selection method for selecting an exhibition booth according to the user's interest at an exhibition as a recommended visit,
Computer
With reference to a learning history storage means storing a learning history indicating learning content learned by the user, for each learning content learned by the user, a point indicating the degree of interest of the user with respect to the learning content is calculated,
Refer to the exhibition information storage means storing the exhibition information indicating the exhibition contents of each of the plurality of exhibition booths opened in the exhibition to be held, and the same technical terms as the theme of the exhibition contents of each of the plurality of exhibition booths Points indicating the degree of interest of the user with respect to the learning content learned by the user in the same field as the exhibition booth for each exhibition booth And calculating points indicating the degree of interest of the user for each of the plurality of exhibition booths,
According to the points calculated for each of the plurality of exhibition booths, the recommended stay time of each of the plurality of exhibition booths is set, and the total of the recommended visit time of the selected exhibition booth is scheduled for the exhibition set in advance Preferentially select an exhibition booth with a high point from the plurality of exhibition booths within the range that does not exceed the staying time, and recommend visits that set information indicating that the selected exhibition booth can be visited Create a list,
Recommended exhibition booth selection method characterized by that.

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