Talent bidding support system, talent bidding support method, talent bidding support device, and talent bidding support program

Abstract

One embodiment of the present disclosure is a talent bidding support system provided with a subject terminal device, a dispatch destination terminal device, and a talent bidding device connected to the subject terminal device and the dispatch destination terminal device via a communication network, the talent bidding device being provided with: an issuing unit that issues the talent bidding device; issuing a bidding point to the dispatch destination operator; an information providing unit that transmits the talent information acquired from the subject terminal device to the dispatch destination terminal device; a bid reception unit that receives, from the dispatch destination terminal device, a bid request including subject information and bid point number information; and a dispatch destination determination unit that determines the dispatch destination of the subject on the basis of the bid request.

Description

Technical Field

[0001] The present disclosure relates to a talent bidding support system, a talent bidding support method, a talent bidding support device, and a talent bidding support program. Background Art

[0002] Conventionally, as a technology related to bidding, for example, a bidding device described in Patent Document 1 is known. The bidding device described in Patent Document 1 gives points to a user, presents a bidding screen including a plurality of purchase objects on a terminal device, receives a purchase object selected from the plurality of purchase objects and a number of points input for the purchase object as bidding points from the terminal device during a bidding period, and determines a successful bidder for the purchase object based on the bidding points at the end of the bidding period.

[0003] Patent Document 1: Japanese Patent Application Publication No. 2020-119010 Summary of the invention

[0004] Problem that the invention aims to solve

[0005] In the bidding device described in Patent Document 1, the purchase object is a commodity or service, and there is no description of applying the bidding device to talents. Even if the bidding device described in Patent Document 1 is applied to matching talents such as full-time personnel, there is a problem that it is impossible to consider various situations such as the skills of the full-time personnel and the areas they can cope with when bidding.

[0006] For example, there is a situation where the employment locations of full-time professionals with professional qualifications are unevenly distributed in different regions, while the non-employment rate is very high. In areas where there are no full-time professionals, even if there is an opportunity to find a full-time professional, full-time professionals cannot respond and there is a tendency for the loss of opportunities to increase. In addition, the turnover rate is high due to the workplace environment of full-time professionals, and it is necessary to promote the effective utilization of full-time professionals. In recent years, it is also possible to provide remote services for full-time professionals to conduct interviews online. In this way, various situations need to be considered when bidding for talents.

[0007] The present disclosure has been made in view of such circumstances, and an object of the present disclosure is to provide a talent bidding support system, a talent bidding support method, a talent bidding support device, and a talent bidding support program that can support bidding that takes various situations of talent into consideration.

[0008] Solutions for solving problems

[0009] The present disclosure is completed to solve the above-mentioned problems. One method of the present disclosure is a talent bidding support system, which includes a subject terminal device used by a subject, a dispatch destination terminal device used by a talent dispatch destination operator, and a talent bidding device connected to the subject terminal device and the dispatch destination terminal device via a communication network, and the talent bidding device includes: an issuance unit, which issues bidding points to the dispatch destination operator; an information providing unit, which sends talent information obtained from the subject terminal device to the dispatch destination terminal device; a bid acceptance unit, which accepts a bid request including subject information and bid point number information from the dispatch destination terminal device; and a dispatch destination determination unit, which determines the dispatch destination of the subject based on the bid request.

[0010] Another aspect of the present disclosure is a talent bidding support method, which is a talent bidding support method of a talent bidding support system, the talent bidding support system comprising a subject terminal device used by a subject, a dispatch destination terminal device used by a dispatch destination operator of the talent, and a talent bidding device connected to the subject terminal device and the dispatch destination terminal device via a communication network, the talent bidding support method comprising the following steps: the talent bidding device issues bidding points to the dispatch destination operator; the subject terminal device sends the subject's talent information to the talent bidding device; the talent bidding device sends the talent information obtained from the subject terminal device to the dispatch destination terminal device; the dispatch destination terminal device sends a bidding request including the subject information and bidding point number information to the talent bidding device; the talent bidding device accepts the bidding request including the subject information and bidding point number information from the dispatch destination terminal device; and the talent bidding device determines the dispatch destination of the subject based on the bidding request.

[0011] Another embodiment of the present disclosure is a talent bidding support device, which is connected to a target terminal device used by a target and a dispatch destination terminal device used by a talent dispatch destination operator via a communication network, and comprises: an issuance unit, which issues bidding points to the dispatch destination operator; an information provision unit, which sends talent information obtained from the target terminal device to the dispatch destination terminal device; a bid acceptance unit, which accepts a bid request including target information and bid point number information from the dispatch destination terminal device; and a dispatch destination determination unit, which determines the dispatch destination of the target based on the bid request.

[0012] Another aspect of the present disclosure is a talent bidding support program, which enables a computer of a talent bidding support device connected to a subject terminal device used by a subject and a dispatch destination terminal device used by a talent dispatch destination operator via a communication network to function as the following parts: an issuance unit that issues bidding points to a dispatch destination operator; an information provision unit that sends talent information acquired from the subject terminal device to the dispatch destination terminal device; a bid acceptance unit that accepts a bid request including subject information and bid point number information from the dispatch destination terminal device; and a dispatch destination determination unit that determines the dispatch destination of the subject based on the bid request.

[0013] Effects of the Invention

[0014] According to the present disclosure, it is possible to support bidding that takes various situations of human resources into consideration. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a block diagram showing an example of a talent bidding support system in the embodiment.

[0016] Figure 2 This is a block diagram showing an example of the configuration of a talent bidding device and a talent rating device in the embodiment.

[0017] Figure 3 This is a block diagram showing an example of a specific configuration of the talent bidding support system in the embodiment.

[0018] Figure 4 This is a diagram showing an example of a multivariate analysis unit in the embodiment.

[0019] Figure 5 It is a diagram showing an example of a mapping process of a feature vector in the embodiment.

[0020] Figure 6 This is a diagram showing an example of a subject person extraction process using a feature vector in the embodiment.

[0021] Figure 7 This is a diagram showing an example of a calculation process of competitive value in the embodiment.

[0022] Figure 8 This is a sequence diagram showing an example of the operation process of the human resource bidding support system in the embodiment.

[0023] (Explanation of Reference Numerals)

[0024] 1: Talent bidding support system; 100: Talent bidding device; 102: Points management device; 104: Talent verification device; 110: Issuing unit; 112: Consumption unit; 120: Information provision unit; 130: Bid acceptance unit; 140: Dispatch destination determination unit; 200: Talent rating device; 200A: Multivariate analysis unit; 202: Talent registration device; 204: Enterprise demand registration unit; 206: Talent information registration unit; 210: Calculation unit; 212: Storage device; 212a: Member information Information database; 212b: learning database; 214: learning device; 214: talent characteristics evaluation unit; 214a: talent characteristics evaluation unit; 214b: talent value evaluation unit; 214c: learning information update unit; 220: rating determination unit; 230: competitive value determination unit; 300: subject terminal device; 400: dispatch source terminal device; 410: comprehensive evaluation unit; 500: dispatch destination terminal device; 600: external device; 700: training content providing device; 710: test implementation unit DETAILED DESCRIPTION

[0025] Hereinafter, a talent bidding support system, a talent bidding support method, a talent bidding support device, and a talent bidding support program to which the present invention is applied will be described with reference to the drawings.

[0026] Figure 1 1 is a block diagram showing an example of a talent bidding support system 1 in an embodiment. The talent bidding support system 1 includes, for example, a talent bidding device 100, a talent rating device 200, a subject terminal device 300, a dispatch source terminal device 400, a dispatch destination terminal device 500, an external device 600, and a training content providing device 700. The talent bidding device 100, the talent rating device 200, the subject terminal device 300, the dispatch source terminal device 400, the dispatch destination terminal device 500, the external device 600, and the training content providing device 700 are connected via a communication network NW, and have a communication interface (not shown) such as a NIC (Network Interface Card) or a wireless communication module for connecting to a network such as the Internet. The network may include a general network such as the Internet and a dedicated network such as a local 5G or WiFi (registered trademark).

[0027] The subject terminal device 300 is an information processing device such as a smartphone or a personal computer used by the subject. The dispatch source terminal device 400 is an information processing device such as a smartphone or a personal computer used by the dispatch source operator. The dispatch destination terminal device 500 is an information processing device such as a smartphone or a personal computer used by the dispatch destination operator. The external device 600 is an information processing device such as a server device that receives a request from the subject terminal device 300, information from the dispatch source terminal device 400, and information from the dispatch destination terminal device 500 and evaluates the subject from the outside. The training content providing device 700 is an information processing device such as a server device that receives a request from the subject terminal device 300 and sends content for training and education to the subject terminal device 300.

[0028] Figure 2 1 is a block diagram showing an example of the structure of the talent bidding device 100 and the talent rating device 200 in the embodiment. The talent bidding device 100 is, for example, an information processing device that provides the following services: registering talent information, evaluation results, dispatch source business operator information, and dispatch destination business operator information, and determining the dispatch destination of the target person based on the bid of the dispatch destination business operator. The target person as a talent is, for example, a full-time person with professional qualifications and skills such as a licensed pharmacist. The talent information is information reported by the target person. The talent information may be information including the age, available work place, work style, professional resume, or skills of the target person. The evaluation result includes evaluation information such as the test result received by the target person using an external device for evaluating the target person. The evaluation result may be information including the training audio-visual history of the target person, the labor history at the dispatch destination, or the evaluation of the target person obtained from the dispatch destination terminal device 500. The dispatch source business operator information is information for specifying the dispatch source business operator of the target person. The dispatch destination business operator information is information for specifying the dispatch destination business operator.

[0029] The talent bidding device 100 includes, for example, a dispatching unit 110, an information providing unit 120, a bid accepting unit 130, and a dispatch destination determining unit 140. The dispatching unit 110, the information providing unit 120, the bid accepting unit 130, and the dispatch destination determining unit 140 are implemented by, for example, a processor such as a CPU (Central Processing Unit) executing a program stored in a program memory.

[0030] The issuing unit 110 issues bid points to the dispatch destination business operator. The issuing unit 110 can issue bid points to the dispatch destination business operator and the dispatch source business operator. Bid points are information that functions as virtual currency that is virtually traded for bidding among the talent bidding device 100, the dispatch source business operator, and the dispatch destination business operator. The issuing unit 110 can perform at least one of the following processes: a process of regularly issuing bid points based on the registered dispatch destination business operator information; a process of regularly issuing bid points based on the registered dispatch source business operator information; and a process of issuing bid points based on the browsing history of specific content. The specific content is, for example, content including information related to the candidate, the dispatch source business operator, and the dispatch source business operator provided by the talent bidding device 100. The specific content may be content displayed when the dispatch destination business operator inputs recruitment conditions, content displayed when the dispatch destination business operator bids, or content displayed when the dispatch source business operator registers the candidate. The dispatch destination business operator has the issued bid points and can bid using the bid points it has.

[0031] The information providing unit 120 transmits the human resource information acquired from the subject terminal device 300 and the evaluation result acquired from the external device 600 to the dispatch destination terminal device 500. For example, the information providing unit 120 receives a request including recruitment conditions from the dispatch destination terminal device 500, and responds to the dispatch destination terminal device 500 with the human resource information and the evaluation result of the subject extracted based on the recruitment conditions. The recruitment conditions are, for example, conditions of human resources desired by the dispatch destination business operator in the human resource information and the evaluation result.

[0032] The bid accepting unit 130 accepts a bid request including the subject information and the bid point information from the dispatch destination terminal device 500. The subject information is information for identifying the subject. The bid point information is information indicating the bid points used in the bid of the subject among the bid points owned by the dispatch destination business operator.

[0033] The dispatch destination determination unit 140 determines the dispatch destination of the subject based on the bid request. When the dispatch destination determination unit 140 accepts one bid request for one subject, the dispatch destination business operator of the dispatch destination terminal device 500 that has sent the bid request is determined as the successful bidder. When the dispatch destination determination unit 140 accepts multiple bid requests for one subject, the dispatch destination business operator with the largest number of bid points among the dispatch destination business operators of the dispatch destination terminal device 500 that has sent the bid request is determined as the successful bidder.

[0034] The talent rating device 200 includes, for example, a calculation unit 210, a rating determination unit 220, and a competitive value determination unit 230. The calculation unit 210, the rating determination unit 220, and the competitive value determination unit 230 are implemented by, for example, a processor such as a CPU executing a program stored in a program memory.

[0035] The operation unit 210 receives the talent information of the subject obtained from the subject terminal device 300 and the evaluation result of the subject obtained from the external device 600 as a talent evaluation device, and outputs the feature information of the subject. The feature information is, for example, a high-dimensional feature vector including the talent information of the subject and the evaluation result. The rating determination unit 220 determines the rating of the subject based on the feature information output from the operation unit 210. The rating of the subject is information indicating the value of the subject, such as the demand degree, recommendation degree, ranking among multiple subjects, and the like of the subject.

[0036] The bidding value determination unit 230 determines the initial value of the bidding value of the object person based on the rating determined by the rating determination unit 220. The bidding value of the object person indicates the number of bidding points required by the dispatch destination operator in order to bid on the object person. The higher the rating, the higher the initial value of the bidding value of the object person is set. The bidding value determination unit 230 corrects the bidding value in a manner that the more bidding requests there are, the higher the bidding value. The bidding value determination unit 230 can correct the bidding value in a manner that the bidding value decreases when there are few bidding requests. The information providing unit 120 sends the object person information and the bidding value determined by the bidding value determination unit 230 to the dispatch destination terminal device 500 in response to a request from the dispatch destination terminal device 500.

[0037] The dispatch destination determination unit 140 determines a dispatch destination business operator who has won the bid for the target person based on the bid value determined by the bid value determination unit 230 and the bid request.

[0038] Figure 3 This is a block diagram showing an example of a specific configuration of the talent bidding support system 1 in the embodiment.

[0039] The talent bidding support system 1 has a talent matching function and a talent rating function. The talent matching function is realized by, for example, a point management device 102, a subject terminal device 300, a dispatch source terminal device 400, a dispatch destination terminal device 500, which are terminal devices operated by a user of the talent bidding support system 1, and a talent checking device 104. The point management device 102 and the talent checking device 104 are functional units realized by the talent bidding device 100.

[0040] The talent rating function includes, for example, an external device 600, a talent registration device 202, a storage device 212, and a learning device 214. The learning device 214 includes, for example, a talent characteristic evaluation unit 214a, a talent value evaluation unit 214b, and a learning information update unit 214c. The talent registration device 202, the storage device 212, and the learning device 214 are functional units implemented by the talent rating device 200.

[0041] The human resource checking device 104 is, for example, a functional unit realized by the human resource bidding device 100. The human resource checking device 104 includes, for example, an information providing unit 120, a bid accepting unit 130, and a dispatch destination determining unit 140.

[0042] The point management device 102 includes an issuing unit 110 and a consumption unit 112. The consumption unit 112 consumes the bid points by subtracting the bid points owned by the successful bidder when the dispatch destination is determined by the dispatch destination determination unit 140. The consumption unit 112 does not subtract the bid points of the dispatch source business operators other than the successful bidder.

[0043] The human resource registration device 202 includes, for example, a company demand registration unit 204 and a human resource information registration unit 206. The company demand registration unit 204 acquires the candidate information of the candidate who can be dispatched from the dispatch source terminal device 400. The company demand registration unit 204 acquires information indicating recruitment conditions from the dispatch destination terminal device 500. The company demand registration unit 204 stores the information acquired from the dispatch source terminal device 400 and the dispatch destination terminal device 500 in the storage device 212, thereby registering information indicating the needs of the dispatch source business operator and the dispatch destination business operator. The human resource information registration unit 206 stores the human resource information acquired from the candidate terminal device 300 in the storage device 212.

[0044] The external device 600 is an information processing device that performs processing for evaluating the subject. The external device 600 includes, for example, a test implementation unit 710 and a comprehensive evaluation unit 410. The test implementation unit 710 sends test content to the subject terminal device 300, and calculates the test result based on the answer obtained from the subject terminal device 300. The test implementation unit 710 stores the test result in the member information database 212a. The comprehensive evaluation unit 410 obtains, for example, the evaluation information of the subject in the dispatch source terminal device 400 and the viewing (listening) history of the training content provided to the subject from the training content providing device 700, and stores it in the member information database 212a as information for comprehensively evaluating the subject.

[0045] The storage device 212 is an information processing device that stores various information. The storage device 212 includes, for example, a member information database 212a and a learning database 212b. The member information database 212a accumulates information about the dispatch source business operator, the dispatch destination business operator, and the subject person as members. Specifically, the member information database 212a accumulates subject person information belonging to the dispatch source business operator, information indicating the recruitment conditions of the dispatch destination business operator, and information indicating the talent information and evaluation results of the subject person. The learning database 212b acquires the feature vector of the subject person and the feature vector indicating the recruitment conditions, and stores the feature vector as learning data.

[0046] The talent characteristic evaluation unit 214a includes, for example, a calculation unit 210. The calculation unit 210 obtains the talent information and evaluation results of the subject from the member information database 212a, and transforms the obtained information into a high-dimensional feature vector. The feature vector of the subject is information that expresses the subject in a high-dimensional space. The calculation unit 210 stores the feature vector of the subject in the learning database 212b. In addition, the talent characteristic evaluation unit 214 transforms the recruitment conditions obtained from the dispatch destination business operator into a feature vector of the recruitment conditions having values ​​corresponding to the expectations of the talent, working hours, and location required by the dispatch destination business operator. The feature vector of the recruitment conditions is information that expresses the recruitment conditions in a high-dimensional space. The calculation unit 210 stores the feature vector of the recruitment conditions in the learning database 212b.

[0047] The talent value evaluation unit 214b includes, for example, a rating determination unit 220 and a competitive value determination unit 230. The rating determination unit 220 changes the rating of the subject according to the feature vector of the subject obtained from the talent characteristic evaluation unit 214a. The competitive value determination unit 230 determines the competitive value of the subject based on the changed rating. The talent value evaluation unit 214b outputs an instruction to change the test content to the test implementation unit 710, and the operation unit 210 updates the feature vector based on the test result of the subject who has taken the changed test, and updates the rating information representing the rating of the subject and the competitive value information representing the competitive value. The talent value evaluation unit 214b evaluates the value of the subject by updating the feature vector based on the test result and the information that comprehensively evaluates the subject.

[0048] The learning information updating unit 214c acquires the feature vector from the human resource evaluation unit 214b and outputs it to the human resource verification device 104. The human resource verification device 104 updates the feature vector of the subject stored in the learning database 212b using the feature vector acquired from the learning information updating unit 214c.

[0049] Figure 41 is a diagram showing an example of a multivariate analysis unit 200A in the embodiment. The multivariate analysis unit 200A performs calculations of feature vectors, ratings, and competitive values ​​in the talent feature evaluation unit 214a (calculation unit 210) and the talent value evaluation unit 214b (rating determination unit 220, competitive value determination unit 230). The multivariate analysis unit 200A outputs a feature vector by, for example, receiving self-declaration information and external evaluation information and performing multivariate analysis.

[0050] Self-reported information is, for example, information on national qualifications, professional resume information, university major information, information on areas of expertise and areas of expertise, information on available work areas, information on available work hours, information on working methods such as commuting or remote work, information on languages ​​that can be used, and information on residential information reported by the subject. External evaluation information is, for example, information on online test information, comprehensive evaluation information of the dispatch destination, information related to the professional industry to which the subject belongs (such as a licensed pharmacist association), and other information evaluated by an external organization. External organizations include dispatch source operators, test organizers, training organizers, educational content providers, and other persons other than the subject. The multivariate analysis unit 200A performs processing using any of logistic regression analysis, comparative risk analysis, variance analysis, multiple regression analysis, discriminant analysis, principal component analysis, factor analysis, and cluster analysis as multivariate analysis. Multivariate analysis can include, for example, inductive processing such as principal component analysis and factor analysis, classification processing such as cluster analysis and discriminant analysis, and predictive processing such as regression analysis.

[0051] Figure 5 It is a diagram showing an example of a mapping process of a feature vector in the embodiment.

[0052] The operation unit 210 can compress the dimensions of the feature vector of the subject and the feature vector of the recruitment condition, and extract the subject having a feature vector close to the feature vector of the recruitment condition based on the distance between the feature vector of the subject and the feature vector of the recruitment condition in the compressed dimension. Figure 5 distillation and mapping to 2D space ( Figure 5The method of the multivariate analysis unit 200A (right figure) is known as t-SNE (t-distributed Stochastic Neighbor Embedding). The multivariate analysis unit 200A needs to process feature vectors in real time, and if t-SNE compares feature vectors in a high-dimensional feature vector space, the more input variables, the more calculation time is required. Therefore, the multivariate analysis unit 200A uses t-SNE and RP (Random Projection) to compress the dimension of the feature vector and calculate the distance in the 2D space, thereby achieving high-speed comparison of the feature vector. For example, the high-dimensional feature vector of the subject is standardized into a 2D space, and the feature vector of the talent required by the source dispatch operator is also standardized into a 2D space. As a result, the multivariate analysis unit 200A can screen out subjects who are similar to the talent required by the source dispatch operator in a short time.

[0053] Figure 6 This is a diagram showing an example of a subject person extraction process using a feature vector in the embodiment.

[0054] The multivariate analysis unit 200A performs multivariate analysis on the information including the recruitment conditions, and maps the feature vector of the recruitment conditions to a high-dimensional feature vector space. When the feature vector of the recruitment conditions converges to an arbitrary point in the feature vector space (× in the figure), the multivariate analysis unit 200A uses the k-nearest neighbors method to extract k candidates in the order of the distance from the arbitrary point to the nearest feature vector. Figure 6 When the feature vectors of the recruitment conditions are scattered in any region of the feature vector space, such as the ellipse in FIG. 2 , the talent feature evaluation unit 214a extracts all candidates included in the feature vector space including the recruitment conditions. In order to increase the speed of calculation, the multivariate analysis unit 200A may perform t-SNE and RP to reduce the dimension of the feature vector space, and extract candidates in the reduced feature vector space.

[0055] The multivariate analysis unit 200A performs multivariate analysis on the self-declared information and external evaluation information input as multiple explanatory variables, and calculates the matching rate (similarity and correlation) between the subject person and the recruitment conditions in the feature vector space. In this way, the multivariate analysis unit 200A does not only focus on a certain explanatory variable to find the correlation and similarity between the subject person and the dispatch destination, but can propose dispatch destination candidates that take into account the subtle correlation and similarity in the high-dimensional feature space.

[0056] Figure 7 This is a diagram showing an example of a calculation process of competitive value in the embodiment.

[0057] The bid value determination unit 230 may change the bid value based on the bid request received by the bid receiving unit 130, and may change the bid value change range based on the distance between the feature vector of the target person and the feature vector of the recruitment condition. The bid value change range, for example, indicates the change in the bid value updated for a certain target person in response to the increase in the number of bids. The distance d( Figure 7 The closer the distance d between the feature vector of the subject and the feature vector of the recruitment condition (x=1 / d), the more the competitive value (y in the figure) can be increased by the competitive value determination unit 230 of the talent value evaluation unit 214b. The competitive value determination unit 230 increases the correction amplitude y relative to the initial competitive value g by multiplying the inverse of the distance d between the feature vector of the subject and the feature vector of the recruitment condition by logx, for example, as shown in the following formula.

[0058] y=g·xlogx(x≥1)org(x<1)

[0059] Thus, the closer the candidate is to the recruitment conditions of the dispatch destination business operator, the greater the increase in the bid value can be changed by the bid value determination unit 230. On the other hand, if there is no candidate who is close to the recruitment conditions of the dispatch destination business operator, the bid value determination unit 230 can change the increase in the bid value to a smaller extent.

[0060] Figure 8 This is a sequence diagram showing an example of the operation procedure of the talent bidding support system 1 in the embodiment.

[0061] First, the candidate terminal device 300 transmits registration information S10 including talent information to the talent bidding device 100. The talent information is transmitted to the talent rating device 200 and stored in the storage device 212. The dispatch source terminal device 400 transmits registration information S12 including dispatch source information and candidate information to the talent bidding device 100. The dispatch source information and candidate information are transmitted to the talent rating device 200 and stored in the storage device 212. The dispatch source terminal device 400 may include fee information paid by the dispatch source business operator to the manager of the talent bidding device 100 for registering the candidate in the registration information S12. The dispatch destination terminal device 500 transmits registration information S14 including dispatch destination information and recruitment information to the talent bidding device 100. The dispatch destination information and recruitment information are transmitted to the talent rating device 200 and stored in the storage device 212. The dispatch destination terminal device 500 may include fee information regularly paid by the dispatch destination business operator to the manager of the talent bidding device 100 in the registration information S14, and may include fee information for obtaining bid points. The talent bidding device 100 sends fee information S16 requesting the dispatch destination business operator to pay the intermediary fee to the dispatch destination terminal device 500. The talent bidding device 100 sends fee information S18 requesting the dispatch source business operator to pay the intermediary fee to the dispatch source terminal device 400. Thus, the operator of the talent bidding device 100 can obtain the intermediary fee from the dispatch destination business operator and the dispatch source business operator.

[0062] The talent bidding device 100 transmits point issuance information S20 indicating the bidding points issued by the issuing unit 110 to the dispatch destination business operator to the dispatch destination terminal device 500. The talent bidding device 100 transmits point issuance information S22 indicating the bidding points issued by the issuing unit 110 to the dispatch source business operator to the dispatch source terminal device 400.

[0063] The dispatch source terminal device 400 transmits the dispatch registration information S24 including the subject information of the subject to be dispatched among the registered subjects to the talent bidding device 100. The talent rating device 200 determines the rating based on the feature vector of the subject included in the dispatch registration information S24, and transmits the bid value information S26a indicating the bid value based on the rating information to the talent bidding device 100. The talent bidding device 100 transmits the rating information and the bid value information S26a to the subject terminal device 300, the dispatch source terminal device 400, and the dispatch destination terminal device 500. Thus, the subject, the dispatch source business operator, and the dispatch destination business operator can view the rating and bid value of the subject.

[0064] The talent rating device 200 uses the feature vector of the recruitment conditions and the feature vector of the candidate to extract the candidate having a feature vector close to the feature vector of the recruitment conditions, and transmits matching information S26b including the candidate information of the extracted candidate to the talent bidding device 100. The information providing unit 120 transmits the matching information S26b to the dispatch destination terminal device 500. Thus, the dispatch destination business operator can view the candidate matching the recruitment conditions.

[0065] The plurality of dispatch destination terminal devices 500 transmit bid request information S28a, S28b, ... including the subject information and bid score information of a subject to the talent bidding device 100. The bid value determination unit 230 changes the bid value according to the received bid request. The dispatch destination determination unit 140 determines the dispatch destination business operator with the largest bid score among the plurality of bid request information S28a, S28b, ... as the successful bidder, and transmits successful bid information S30 indicating the successful bidder to the dispatch destination terminal device 500, the dispatch source terminal device 400, and the subject terminal device 300.

[0066] The talent bidding device 100 transmits point information S32a obtained by subtracting the bid points from the bid points owned by the dispatch destination business operator as the successful bidder to the dispatch destination terminal device 500 of the successful bidder, and transmits point information S32b for returning the bid points to the dispatch destination business operators who failed to win the bid to the dispatch destination terminal devices 500 of the dispatch destination business operators other than the successful bidder, etc. The issuing unit 110 of the talent bidding device 100 transmits point information S34 for issuing the bid points as a success reward to the dispatch source terminal device 400 corresponding to the dispatch source business operator of the object person who won the bid.

[0067] When the candidate works at the dispatch destination, the issuing unit 110 sends the cost information S36a indicating a part of the employment cost (hourly wage) as the labor cost of the candidate to the dispatch source terminal device 400 of the dispatch source operator of the candidate who has won the bid. The cost information S36a may be information indicating the number of bid points. Thus, the dispatch source operator can obtain remuneration by dispatching the candidate. In addition, the talent bidding device 100 sends the cost information S36b indicating a part of the employment cost (hourly wage) to the dispatch destination terminal device 500 of the dispatch destination operator. Thus, the dispatch destination operator can obtain remuneration by employing the candidate.

[0068] The talent checking device 104 can perform collaborative filtering processing to recommend candidates to the dispatch destination business operator. The talent checking device 104 can search for a dispatch destination business operator similar to the desired candidate based on the search history or bidding history of the dispatch destination business operator, and recommend a candidate similar to the candidate successfully bid by the searched dispatch destination business operator. The talent checking device 104 can recommend a candidate having a feature vector similar to the feature vector of the candidate currently being browsed by the dispatch destination business operator by performing content-based filtering processing. The talent checking device 104 can estimate the feature vector of the recruitment conditions of the dispatch destination business operator by collaborative filtering processing, and recommend a candidate having a feature vector similar to the estimated feature vector of the recruitment conditions by content filtering processing.

[0069] Furthermore, the learning device 214 can use the feature vector of the recruitment conditions of the dispatch destination operator, the feature vector of the successful bidder of the dispatch destination operator, and the bid value (number of bid points) of the successful bid as learning data to learn the prediction model, input the feature vector of the recruitment conditions into the prediction model as an explanatory variable, and recommend the initial value (inference result) of the bidder and the bid value of the target person having a feature vector similar to the feature vector of the target person output from the prediction model. The prediction model can use a statistical model such as a normal distribution and a binomial distribution, and has parameters for determining the statistical model. The parameters are set to the optimal values ​​for outputting the inference result through the learning process.

[0070] In addition, the prediction model can be learned by any method of unsupervised learning or supervised learning. Unsupervised learning includes, for example, dimension compression method processing and clustering processing. Dimension compression methods include, for example, principal component analysis, multidimensional scaling method, t-SNE method, etc. Clustering processing includes k-means method, hierarchical clustering, etc. Supervised learning includes, for example, classification processing or regression processing, etc. Classification processing includes, for example, decision tree, support vector machine, random forest, logistic regression, etc. Regression processing includes, for example, partial least squares (Partial Least Squares Regression, PLS), Lasso regression (least absolute shrinkage and selection operator, LASSO), Ridge regression, support vector machine, random forest, logistic regression, etc. The learning device 214 uses these learning methods to construct a prediction model, and uses the constructed prediction model to perform processing in the multivariate analysis unit 200A (operation unit 210, rating determination unit 220, and competitive value determination unit 230).

[0071] As described above, according to the embodiment, a talent bidding support system 1 can be realized, which includes a subject terminal device 300, a dispatch destination terminal device 500, and a talent bidding device 100 connected to the subject terminal device 300 and the dispatch destination terminal device 500 via a communication network NW, and the talent bidding device 100 includes: an issuing unit 110 that issues bidding points to a dispatch destination business operator; an information providing unit 120 that sends talent information acquired from the subject terminal device 300 to the dispatch destination terminal device 500; a bid accepting unit 130 that accepts a bid request including subject information and bid point number information from the dispatch destination terminal device 500; and a dispatch destination determining unit 140 that determines the dispatch destination of the subject based on the bid request.

[0072] According to the talent bidding support system 1, for example, when a licensed pharmacist is envisioned as the target person, by winning the bid for a licensed pharmacist who can work in a clinic on a holiday or a pharmacy in an area where there is a shortage of licensed pharmacists, it is possible to provide medicines to patients while suppressing the situation of a shortage of licensed pharmacists. In addition, according to the talent bidding support system 1, in order to improve the skills of licensed pharmacists, companies and pharmacies can dispatch licensed pharmacists to workplaces of different industries or work styles as part of education, and the dispatch source operator can seek to improve the skills of the licensed pharmacists they have, which has the advantage of increasing the competitive value of licensed pharmacists. In addition, according to the talent bidding support system 1, training content is provided free of charge based on the information of the registered target person, and the competitive value of licensed pharmacists can be increased according to the lecture history and audio-visual history of the training. Therefore, according to the talent bidding support system 1, licensed pharmacists can see the competitive value corresponding to their own skills, and the value from the perspective of the dispatch destination operator can be increased.

[0073] According to the talent bidding support system 1 of the embodiment, for example, information including the age, available place of work, work style, professional history, or skills of the candidate is obtained from the candidate terminal device 300 as the talent information, and the candidate information is sent to the dispatch destination terminal device 500 to accept the bid, so that it is possible to support bidding that takes various situations of the talent into consideration. In addition, according to the talent bidding support system 1, the talent bidding device 100 obtains the evaluation result of the candidate obtained from the external device 600, and can determine the dispatch destination of the candidate based on the bid request and the evaluation result. In addition, according to the talent bidding support system 1, even if the talent information or evaluation result of the candidate is changed, the changed information can be reflected in the bidding, and for the dispatch destination business operator, it is possible to ensure timely talents such as Dynamic Pricing.

[0074] According to the talent bidding support system 1, the issuing unit 110 performs at least one of the following: periodically issuing bidding points based on the registered dispatch destination business operator information, periodically issuing bidding points based on the registered dispatch source business operator information, and issuing bidding points based on the browsing history of specific content. Therefore, bidding points can be issued to the dispatch source and the dispatch destination to promote bidding for the target person, and the dispatch market for the target person can be expanded. In addition, according to the talent bidding support system 1, it is possible to promote monthly members who are most efficient in issuing points and promote subscription business.

[0075] According to the talent bidding support system 1, the bid value determination unit 230 determines the bid value of the candidate based on the talent information and the candidate evaluation result, and transmits the determined bid value to the dispatch destination terminal device 500, thereby enabling bidding with the bid value reflecting the talent information and the evaluation result.

[0076] According to the talent bidding support system 1, the training content providing device 700 that transmits the training content to the subject terminal device 300 can change the subject's bidding value based on the viewing history of the training content. Therefore, according to the talent bidding support system 1, the subject's viewing status of the training can be reflected in the bidding value.

[0077] According to the talent bidding support system 1, the number of bid points required for a successful bidder is changed based on the bid value determined by the bid value determination unit 230, thereby making it possible to bid a large number of bid points for a successful bidder with high expertise and external evaluation.

[0078] According to the talent bidding support system 1, the bidding points owned by the dispatch destination operator who has won the bid for the target person can be deducted, and the bidding points owned by the dispatch destination operators other than the dispatch destination operator who has won the bid for the target person can be returned. In addition, according to the talent bidding support system 1, the bidding points as a success reward can be issued to the dispatch source operator of the target person who has won the bid. Furthermore, according to the talent bidding support system 1, the bidding points corresponding to a part of the labor cost of the target person can be issued to the dispatch source operator of the target person who has won the bid. Furthermore, according to the talent bidding support system 1, the bidding points corresponding to a part of the labor cost of the target person can be issued to the dispatch destination operator of the target person who has won the bid. Therefore, according to the talent bidding support system 1, bidding for the target person can be promoted, and the development of the dispatch market can be promoted.

[0079] In addition, each embodiment and variation example has been described, but these are merely examples and are not limited to these examples. For example, any one of the embodiments or variations, a part of the embodiments, a part of the variations may be combined with one or more other embodiments or one or more other variations to implement a method of the present invention.

Claims

1. A talent bidding support system comprising a candidate terminal device used by a candidate, a dispatch destination terminal device used by a dispatch destination operator of the talent, and a talent bidding device connected to the candidate terminal device and the dispatch destination terminal device via a communication network, The talent bidding device comprises: The issuing department issues bidding points to operators at the dispatch destination; An information providing unit transmits the human resource information acquired from the subject terminal device to the dispatch destination terminal device; a bid accepting unit that accepts a bid request including target person information and bid point number information from the dispatch destination terminal device; as well as The dispatch destination determination unit determines a dispatch destination of the target person based on the bid request.

2. The talent bidding support system according to claim 1, wherein: The issuing unit performs at least one of the following processes: a process of periodically issuing bid points based on registered dispatch destination business operator information; Processing of issuing bid points regularly based on the registration of dispatch source business operator information; processing of issuing bid points based on the browsing history of specific content.

3. The talent bidding support system according to claim 1, wherein: The human resource information is information including the age, available work location, work style, career history, or skills of the subject.

4. The talent bidding support system according to claim 1, wherein: The talent bidding device acquires the evaluation result of the subject obtained from an external device that evaluates the subject, The dispatch destination determination unit determines a dispatch destination of the target person based on the bid request and the evaluation result.

5. The talent bidding support system according to claim 1, wherein: The talent bidding device includes a bid value determination unit that determines the bid value of a candidate based on the talent information and the evaluation result of the candidate. The information providing unit transmits the bid value determined by the bid value determining unit to the delivery destination terminal device.

6. The talent bidding support system according to claim 5, wherein: A content providing device is provided, and the content providing device sends training content to the subject terminal device. The competitive value determination unit changes the competitive value of the subject based on the viewing history of the training content.

7. The talent bidding support system according to claim 5, wherein: The dispatch destination determination unit changes the number of bid points required for a successful bidder based on the bid value determined by the bid value determination unit.

8. The talent bidding support system according to claim 1, wherein: The dispatch destination determination unit deducts the bid points owned by the dispatch destination business operator who has successfully bid the target person, and returns the bid points owned by the dispatch destination business operators other than the dispatch destination business operator who has successfully bid the target person.

9. The talent bidding support system according to claim 7, wherein: The issuing unit issues bid points as a success reward to a dispatch source business operator of a target person who has won the bid.

10. The talent bidding support system according to claim 7, wherein: The issuing unit issues bid points corresponding to a part of the labor cost of the target person to a dispatch source business operator of the target person who has won the bid.

11. The talent bidding support system according to claim 7, wherein: The issuing unit issues bid points corresponding to a part of the labor cost of the target person to a dispatch destination business operator of the target person who has won the bid.

12. A talent bidding support method, the talent bidding support method being a talent bidding support system, the talent bidding support system comprising a subject terminal device used by a subject, a dispatch destination terminal device used by a dispatch destination operator of the talent, and a talent bidding device connected to the subject terminal device and the dispatch destination terminal device via a communication network, the talent bidding support method comprising: The talent bidding device issues bidding points to the dispatch destination business operator; The subject terminal device sends the talent information of the subject to the talent bidding device; The talent bidding device transmits the talent information acquired from the subject terminal device to the dispatch destination terminal device; The dispatch destination terminal device transmits a bidding request including information about the candidate and information about the number of bidding points to the talent bidding device; The talent bidding device receives a bidding request including candidate information and bidding point information from the dispatch destination terminal device; as well as The human resource bidding device determines a dispatching destination of the subject person based on the bidding request.

13. A talent bidding support device connected to a candidate terminal device used by a candidate and a dispatch destination terminal device used by a talent dispatch destination business operator via a communication network, the talent bidding support device comprising: The issuing department issues bidding points to operators at the dispatch destination; An information providing unit transmits the human resource information acquired from the subject terminal device to the dispatch destination terminal device; a bid accepting unit that accepts a bid request including target person information and bid point number information from the dispatch destination terminal device; as well as The dispatch destination determination unit determines a dispatch destination of the target person based on the bid request.

14. A talent bidding support program, which causes a computer of a talent bidding support device connected to a candidate terminal device used by a candidate and a dispatch destination terminal device used by a talent dispatch destination business operator via a communication network to function as the following part: The issuing department issues bidding points to operators at the dispatch destination; An information providing unit transmits the human resource information acquired from the subject terminal device to the dispatch destination terminal device; a bid accepting unit that accepts a bid request including target person information and bid point number information from the dispatch destination terminal device; as well as The dispatch destination determination unit determines a dispatch destination of the target person based on the bid request.

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