Human resource bidding assistance system, human resource bidding assistance method, human resource bidding assistance device, and human resource bidding assistance program

Abstract

One aspect of the present disclosure is a human resource bidding assistance system comprising a target person terminal device, a dispatch destination terminal device, and a human resource bidding device that is connected to the target person terminal device and the dispatch destination terminal device via a communication network, wherein the human resource bidding device comprises: an issuance unit that issues a bidding point to a dispatch destination company; an information provision unit that transmits, to the dispatch destination terminal device, human resource information which has been acquired from the target person terminal device; a bid reception unit that receives, from the dispatch destination terminal device, a bid request which includes target person information and number-of-bidding-points information; and a dispatch destination determination unit that determines a dispatch destination of the target person on the basis of the bid request.

Description

Human Resources Bidding Support System, Human Resources Bidding Support Method, Human Resources Bidding Support Device, and Human Resources Bidding Support Program

[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.

[0002] A known example of a bidding technology is a bidding device described in Patent Document 1. The bidding device described in Patent Document 1 awards points to users, presents a bidding screen containing multiple purchase items on a terminal device, accepts a purchase item selected from the multiple purchase items from the terminal device during a bidding period and the number of points entered for that purchase item as bid points, and determines a successful bidder for the purchase item based on the bid points at the end of the bidding period.

[0003] Japanese Patent Application Laid-Open No. 2020-119010

[0004] The bidding device described in Patent Document 1 is intended for purchasing goods or services, and there is no mention of applying the bidding device to human resources. Even if the bidding device described in Patent Document 1 is applied to matching human resources such as specialists, there is a problem in that it is not possible to conduct bidding taking into account various factors such as the skills of the specialists and the areas in which they can be employed.

[0005] For example, while employment opportunities for qualified professionals are unevenly distributed across regions, the non-employment rate is extremely high. In areas where there are no qualified professionals, there is a tendency for opportunities requiring professionals to be unavailable, resulting in increased opportunity loss. Furthermore, the turnover rate for professionals is high due to their work environment, making it necessary to promote the effective use of qualified human resources. Furthermore, in recent years, it has become possible to provide remote services where professionals conduct interviews online. As such, various factors must be taken into consideration when bidding for human resources.

[0006] The present disclosure has been made in consideration of the above circumstances, and aims to provide a human resources bidding support system, a human resources bidding support method, a human resources bidding support device, and a human resources bidding support program that can support bidding taking into account various human resources circumstances.

[0007] The present disclosure has been made to solve the above-mentioned problems, and one aspect of the present disclosure is a human resources bidding support system comprising: a target person terminal device used by a target person; a dispatch destination terminal device used by a human resources dispatching company; and a human resources bidding device connected to the target person terminal device and the dispatch destination terminal device via a communication network, wherein the human resources bidding device comprises an issuing unit that issues bid points to the dispatch destination company; an information providing unit that transmits human resources information acquired from the target person terminal device to the dispatch destination terminal device; a bid receiving unit that receives a bid request including target person information and bid point number information from the dispatch destination terminal device; and a dispatch destination determination unit that determines a dispatch destination for the target person based on the bid request.

[0008] Another aspect of the present disclosure is a human resources bidding support method for a human resources bidding support system comprising a target person terminal device used by a target person, a dispatch destination terminal device used by a human resources dispatching company, and a human resources bidding device connected to the target person terminal device and the dispatch destination terminal device via a communication network, the human resources bidding support method including the steps of: the human resources bidding device issuing bidding points to the dispatch destination company; the target person terminal device transmitting human resources information of the target person to the human resources bidding device; the human resources bidding device transmitting the human resources information acquired from the target person terminal device to the dispatch destination terminal device; the dispatch destination terminal device transmitting a bid request including the target person information and bid point number information to the human resources bidding device; the human resources bidding device accepting the bid request including the target person information and bid point number information from the dispatch destination terminal device; and the human resources bidding device deciding a dispatch destination for the target person based on the bid request.

[0009] Another aspect of the present disclosure is a human resources bidding support device that includes a subject terminal device used by a subject, a dispatch destination terminal device used by a human resources dispatching company, and a human resources bidding support device connected via a communication network, the human resources bidding support device including: an issuing unit that issues bid points to the dispatch destination company; an information providing unit that transmits human resources information acquired from the subject terminal device to the dispatch destination terminal device; a bid receiving unit that receives 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 a dispatch destination for the subject based on the bid request.

[0010] Another aspect of the present disclosure is a human resources bidding support program that causes a subject terminal device used by a subject, a dispatch destination terminal device used by a human resources dispatching company, and a computer of a human resources bidding support device connected via a communication network to function as an issuing unit that issues bid points to the dispatch destination company, an information providing unit that transmits human resources information acquired from the subject terminal device to the dispatch destination terminal device, a bid receiving unit that receives 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 a dispatch destination for the subject based on the bid request.

[0011] According to the present disclosure, it is possible to support bidding that takes into consideration various circumstances of human resources.

[0012] FIG. 1 is a block diagram showing an example of a talent bidding support system in an embodiment. FIG. 2 is a block diagram showing an example of the configuration of a talent bidding device and a talent rating device in an embodiment. FIG. 3 is a block diagram showing an example of a specific configuration of the talent bidding support system in an embodiment. FIG. 4 is a diagram showing an example of a multivariate analysis unit in an embodiment. FIG. 5 is a diagram showing an example of a feature vector mapping process in an embodiment. FIG. 6 is a diagram showing an example of a target person extraction process using a feature vector in an embodiment. FIG. 7 is a diagram showing an example of a bid price calculation process in an embodiment. FIG. 8 is a sequence diagram showing an example of an operation procedure of the talent bidding support system in an embodiment.

[0013] 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 below with reference to the drawings.

[0014] FIG. 1 is a block diagram showing an example of a talent bidding support system 1 according to an embodiment. The talent bidding support system 1 includes, for example, a talent bidding device 100, a talent rating device 200, a candidate terminal device 300, a dispatching source terminal device 400, a dispatching 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 candidate terminal device 300, the dispatching source terminal device 400, the dispatching 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 network interface card (NIC) or a wireless communication module for connecting to a network such as the Internet. The network may include, for example, a general-purpose network such as the Internet, and a private network such as local 5G or Wi-Fi (registered trademark).

[0015] The subject terminal device 300 is an information processing device such as a smartphone or personal computer used by the subject. The dispatching source terminal device 400 is an information processing device such as a smartphone or personal computer used by the dispatching company. The dispatch destination terminal device 500 is an information processing device such as a smartphone or personal computer used by the dispatching company. The external device 600 is an information processing device such as a server device that receives requests from the subject terminal device 300, information from the dispatching source terminal device 400, and information from the dispatch destination terminal device 500, and performs processing to externally evaluate the subject. The training content providing device 700 is an information processing device such as a server device that receives requests from the subject terminal device 300 and performs processing to transmit content for training and education to the subject terminal device 300.

[0016] FIG. 2 is a block diagram showing an example of the configuration of a talent bidding device 100 and a talent rating device 200 according to an embodiment. The talent bidding device 100 is an information processing device that, for example, registers talent information, evaluation results, dispatching agency information, and dispatching agency information, and provides a service that determines the dispatch destination of a target person based on the bid of the dispatching agency. The target person as talent is, for example, a professional with specialized qualifications and skills, such as a pharmacist. The talent information is information declared by the target person. The talent information may include the target person's age, available work locations, working style, work history, or possessed skills. The evaluation results include evaluation information such as test results taken by the target person using an external device that evaluates the target person. The evaluation results may include the target person's training viewing history, work history at the dispatching agency, or evaluation of the target person obtained from the dispatching agency terminal device 500. The dispatching agency information is information that identifies the target person's dispatching agency. The dispatching agency information is information that identifies the dispatching agency.

[0017] The talent bidding device 100 includes, for example, an issuing unit 110, an information providing unit 120, a bid receiving unit 130, and a dispatch destination determination unit 140. The issuing unit 110, the information providing unit 120, the bid receiving unit 130, and the dispatch destination determination unit 140 are realized by a processor such as a CPU (Central Processing Unit) executing a program stored in a program memory.

[0018] The issuing unit 110 issues bid points to the temporary staffing agency. The issuing unit 110 may issue bid points to the temporary staffing agency and the temporary staffing agency. Bid points are information that functions as virtual currency virtually traded for bidding between the human resource bidding device 100, the temporary staffing agency, and the temporary staffing agency. The issuing unit 110 may perform at least one of the following processes: a process of periodically issuing bid points based on the registration of temporary staffing agency information; a process of periodically issuing bid points based on the registration of temporary staffing agency information; and a process of issuing bid points based on the browsing history of specific content. The specific content is, for example, content provided by the human resource bidding device 100, including information on the target person, the temporary staffing agency, and the temporary staffing agency. The specific content may be content that is displayed when the temporary staffing agency inputs recruitment requirements, content that is displayed when the temporary staffing agency makes a bid, or content that is displayed when the temporary staffing agency registers the target person. The temporary staffing agency retains the issued bid points and can use the retained bid points to make a bid.

[0019] The information providing unit 120 transmits the human resource information acquired from the target person terminal device 300 and the evaluation results acquired from the external device 600 to the dispatch destination terminal device 500. For example, the information providing unit 120 accepts 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 evaluation results of the target person extracted based on the recruitment conditions. The recruitment conditions are, for example, the conditions for the human resource desired by the dispatch destination company from the human resource information and evaluation results.

[0020] The bid receiving unit 130 receives a bid request including target person information and bid point number information from the destination terminal device 500. The target person information is information that identifies the target person. The bid point number information is information that indicates the number of bid points that the destination company has that will be used for the target person's bid.

[0021] The dispatch destination determination unit 140 determines the dispatch destination of the target person based on the bid request. When the dispatch destination determination unit 140 receives one bid request from one target person, it determines the dispatch destination company of the dispatch destination terminal device 500 that sent the bid request as the successful bidder. When the dispatch destination determination unit 140 receives multiple bid requests from one target person, it determines the dispatch destination company with the most bid points as the successful bidder among the dispatch destination companies of the dispatch destination terminal device 500 that sent the bid requests.

[0022] The talent rating device 200 includes, for example, a calculation unit 210, a rating determination unit 220, and a bid price determination unit 230. The calculation unit 210, the rating determination unit 220, and the bid price determination unit 230 are realized by a processor such as a CPU executing a program stored in a program memory.

[0023] The calculation unit 210 inputs the subject's human resource information acquired from the subject terminal device 300 and the subject's evaluation results acquired from the external device 600 as a human resource evaluation device, and outputs characteristic information of the subject. The characteristic information is, for example, a high-dimensional feature vector including the subject's human resource information and evaluation results. The rating determination unit 220 determines the subject's rating based on the characteristic information output from the calculation unit 210. The subject's rating is information indicating the subject's value, such as the subject's level of demand, recommendation level, and rank among many subjects.

[0024] The bid price determination unit 230 determines the initial bid price of the target person based on the rating determined by the rating determination unit 220. The bid price of the target person indicates the number of bidding points required for the dispatching client company to bid on the target person. The initial bid price of the target person is set to a higher value the higher the rating. The bid price determination unit 230 corrects the bid price so that it increases as the number of bid requests increases. The bid price determination unit 230 may correct the bid price so that it decreases when there are few bid requests. The information providing unit 120 transmits the target person information and the bid price determined by the bid price determination unit 230 to the dispatching destination terminal device 500 in response to a request from the dispatching destination terminal device 500.

[0025] The dispatch destination determination unit 140 determines the dispatch destination company that has made a successful bid for the target person based on the bid price determined by the bid price determination unit 230 and the bid request.

[0026] 3 is a block diagram showing an example of a specific configuration of the talent bidding support system 1 according to an embodiment. The talent bidding support system 1 has a talent matching function and a talent rating function. The talent matching function is realized, for example, by a points management device 102, a target employee terminal device 300, a dispatching company terminal device 400, and a dispatching company terminal device 500, which are terminal devices operated by users of the talent bidding support system 1, and a talent verification device 104. The points management device 102 and the talent verification device 104 are functional units realized by the talent bidding device 100.

[0027] 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 realized by the talent rating device 200.

[0028] The talent matching device 104 is, for example, a functional unit realized by the talent bidding device 100. The talent matching device 104 includes, for example, an information providing unit 120, a bid receiving unit 130, and a dispatch destination determining unit 140.

[0029] The point management device 102 includes an issuing unit 110 and a consuming unit 112. When a dispatch destination is determined by the dispatch destination determining unit 140, the consuming unit 112 consumes the bidding points by subtracting the number of bidding points from the bidding points held by the successful bidder. The consuming unit 112 does not subtract the number of bidding points of dispatching companies other than the successful bidder.

[0030] 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 target person information of targets who can be dispatched from the dispatching source terminal device 400. The company demand registration unit 204 acquires information indicating job recruitment conditions from the dispatching destination terminal device 500. The company demand registration unit 204 registers information indicating the demand of the dispatching agency and the dispatching destination agency by storing the information acquired from the dispatching source terminal device 400 and the dispatching destination terminal device 500 in the storage device 212. The human resource information registration unit 206 stores the human resource information acquired from the target person terminal device 300 in the storage device 212.

[0031] The external device 600 is an information processing device that performs processing to evaluate 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 transmits test content to the subject terminal device 300 and calculates test results based on answers acquired from the subject terminal device 300. The test implementation unit 710 stores the test results in the member information database 212a. The comprehensive evaluation unit 410 acquires, for example, evaluation information of the subject from the dispatching terminal device 400 and a viewing (attendance) history of training content provided to the subject from the training content providing device 700, and stores the information in the member information database 212a as information for comprehensively evaluating the subject.

[0032] The storage device 212 is an information processing device that stores various types of information. The storage device 212 includes, for example, a member information database 212a and a training database 212b. The member information database 212a stores information on temporary staffing agencies, temporary employment agencies, and candidates as members. Specifically, the member information database 212a stores candidate information belonging to temporary staffing agencies, information indicating the recruitment conditions of the temporary employment agencies, and information indicating the candidates' human resources information and evaluation results. The training database 212b acquires the feature vectors of the candidates and the feature vectors indicating the recruitment conditions, and stores the feature vectors as training data.

[0033] The human resource characteristic evaluation unit 214a includes, for example, a calculation unit 210. The calculation unit 210 acquires the human resource information and evaluation results of the subject from the member information database 212a and converts the acquired information into a high-dimensional feature vector. The subject's feature vector is information that expresses the subject in a high-dimensional space. The calculation unit 210 stores the subject's feature vector in the training database 212b. Furthermore, the human resource characteristic evaluation unit 214 converts the recruitment conditions acquired from the temporary staffing agency into a feature vector of recruitment conditions having values ​​corresponding to the personnel, working hours, location, and other requirements desired by the temporary staffing agency. The feature vector of 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 training database 212b.

[0034] The human resource value assessment unit 214b includes, for example, a rating determination unit 220 and a bid price determination unit 230. The rating determination unit 220 changes the rating of the subject in accordance with the subject's feature vector acquired from the human resource characteristic assessment unit 214a. The bid price determination unit 230 determines the subject's bid price based on the changed rating. The human resource value assessment unit 214b outputs an instruction to the test implementation unit 710 to change the test content, and causes the calculation unit 210 to update the feature vector based on the test results of the subject who took the changed test, and updates rating information indicating the subject's rating and bid price information indicating the bid price. The human resource value assessment unit 214b assesses the value of the subject by updating the feature vector based on the test results and information comprehensively assessing the subject.

[0035] The learning information update unit 214c acquires the feature vector from the human resource value assessment unit 214b and outputs it to the human resource matching device 104. The human resource matching device 104 updates the feature vector of the subject stored in the learning database 212b with the feature vector acquired from the learning information update unit 214c.

[0036] 4 is a diagram showing an example of the multivariate analysis unit 200A in the embodiment. The multivariate analysis unit 200A calculates the feature vectors, ratings, and bid prices in the talent characteristic evaluation unit 214a (calculation unit 210) and the talent value evaluation unit 214b (rating determination unit 220, bid price determination unit 230). The multivariate analysis unit 200A inputs, for example, self-reported information and external evaluation information, and performs multivariate analysis to output feature vectors.

[0037] Self-reported information includes information reported by the subject, such as national qualification information, work history information, university major information, specialty and specialty area information, available work areas, available work hours, work style information (e.g., commuting or remote work), available languages, and home information. External evaluation information includes information evaluated by external organizations, such as online exam information, comprehensive evaluation information for the dispatched organization, and information about the professional industry to which the subject belongs (e.g., the Pharmaceutical Association). External organizations include parties other than the subject, such as dispatching agencies, exam organizers, training organizers, and educational content providers. The multivariate analysis unit 200A performs multivariate analysis using any of logistic regression analysis, comparative hazard analysis, analysis of variance, multiple regression analysis, discriminant analysis, principal component analysis, factor analysis, and cluster analysis. Multivariate analysis may include, for example, summary processing such as principal component analysis and factor analysis, classification processing such as cluster analysis and discriminant analysis, and prediction processing such as regression analysis.

[0038] FIG. 5 illustrates an example of feature vector mapping processing in an embodiment. The calculation unit 210 may compress the dimensionality of the subject's feature vector and the job requirements' feature vector, and extract subjects whose feature vectors are similar to the job requirements' feature vector based on the distance between the subject's feature vector and the job requirements' feature vector in the compressed dimensionality. t-SNE (t-distributed stochastic neighbor embedding) is a known method for distilling high-dimensional feature vectors (left diagram of FIG. 5) and mapping them to a 2D space (right diagram of FIG. 5). The multivariate analysis unit 200A must process feature vectors in real time, but t-SNE requires longer calculation times when comparing feature vectors in a high-dimensional feature vector space with a larger number of input variables. Therefore, the multivariate analysis unit 200A can speed up the feature vector comparison process by compressing the dimensionality of the feature vectors using t-SNE or random projection (RP) and calculating the distance in 2D space. For example, the high-dimensional feature vector of the subject is normalized to a 2D space, and the feature vector of the human resources desired by the staffing agency is also normalized to a 2D space, thereby allowing the multivariate analysis unit 200A to quickly narrow down the subject candidates who are similar to the human resources desired by the staffing agency.

[0039] FIG. 6 illustrates an example of a candidate extraction process using feature vectors according to an embodiment. The multivariate analysis unit 200A performs multivariate analysis on information containing job requirements to map the feature vectors of the job requirements into a high-dimensional feature vector space. When the feature vectors of the job requirements converge to a single point (indicated by an x ​​in the figure) in the feature vector space, the multivariate analysis unit 200A uses k-nearest neighbors to extract k candidates in descending order of distance from the point. When the feature vectors of the job requirements are scattered throughout a specific region of the feature vector space, as shown by the ellipses in FIG. 6, the human resource characteristic evaluation unit 214a extracts all candidates included in the feature vector space containing the job requirements. To speed up computation, the multivariate analysis unit 200A may perform t-SNE or RP to reduce the number of dimensions in the feature vector space and then extract candidates in the reduced feature vector space.

[0040] The multivariate analysis unit 200A performs multivariate analysis on the self-reported information and external evaluation information as multiple input explanatory variables, and calculates the match rate (similarity and correlation) between the subject and the job requirements in the feature vector space. This allows the multivariate analysis unit 200A to propose candidate dispatch destinations that take into account non-trivial correlations and similarities in a high-dimensional feature space, rather than focusing only on certain explanatory variables to determine the correlation and similarity between the subject and the dispatch destination.

[0041] FIG. 7 is a diagram illustrating an example of a bid price calculation process in an embodiment. The bid price determination unit 230 may change the bid price based on a bid request received by the bid receiving unit 130 and may change the bid price fluctuation range based on the distance between the target person's feature vector and the feature vector of the job requirements. The bid price fluctuation range indicates, for example, a change in the bid price updated as the number of bids for a certain target person increases. The bid price determination unit 230 of the human resource value assessment unit 214b may increase the bid price (y in FIG. 7 ) the closer the distance d (x, x = 1 / d) between the target person's feature vector and the feature vector of the job requirements. For example, the bid price determination unit 230 increases the correction range y for the initial bid price g by multiplying the reciprocal of the distance d between the target person's feature vector and the feature vector of the job requirements by logx, as shown in the following formula: y = g x log x (x ≥ 1) or g (x < 1) This allows the bid price determination unit 230 to vary the range of increase in the bid price to a greater extent for candidates who are closer to the recruitment conditions of the temporary staffing agency. On the other hand, when there is no candidate who is close to the recruitment conditions of the temporary staffing agency, the bid price determination unit 230 can vary the range of increase in the bid price to a smaller extent.

[0042] FIG. 8 is a sequence diagram showing an example of the operating procedure of the talent bidding support system 1 according to the embodiment. First, the target person 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 dispatching source terminal device 400 transmits registration information S12, including dispatching source information and target person information, to the talent bidding device 100. The dispatching source information and target person information are transmitted to the talent rating device 200 and stored in the storage device 212. The dispatching source terminal device 400 may include, in the registration information S12, information on the fee paid by the dispatching source agent to the administrator of the talent bidding device 100 for registering the target person. The dispatching destination terminal device 500 transmits registration information S14, including dispatch destination information and job information, to the talent bidding device 100. The dispatching destination information and job information are transmitted to the talent rating device 200 and stored in the storage device 212. The destination terminal device 500 may include, in the registration information S14, fee information that the destination company pays periodically to the administrator of the talent bidding device 100, and may also include fee information for obtaining bidding points. The talent bidding device 100 transmits fee information S16 to the destination terminal device 500, requesting the destination company to pay a brokerage fee. The talent bidding device 100 transmits fee information S18 to the dispatching source terminal device 400, requesting the dispatching source company to pay a brokerage fee. This allows the operator of the talent bidding device 100 to obtain brokerage fees from the destination company and the dispatching source company.

[0043] The talent bidding device 100 transmits point issuance information S20 indicating the bidding points issued to the temporary employment agency by the issuing unit 110 to the temporary employment agency terminal device 500. The talent bidding device 100 transmits point issuance information S22 indicating the bidding points issued to the temporary employment agency by the issuing unit 110 to the temporary employment agency terminal device 400.

[0044] The dispatching source terminal device 400 transmits dispatch registration information S24, which includes target information on targets to be dispatched from among the registered targets, to the talent bidding device 100. The talent rating device 200 determines a rating based on the target's feature vector included in the dispatch registration information S24, and transmits bid price information S26a, which indicates the bid price based on the rating information, to the talent bidding device 100. The talent bidding device 100 transmits the rating information and bid price information S26a to the target terminal device 300, the dispatching source terminal device 400, and the dispatch destination terminal device 500. This allows the targets, the dispatching company, and the dispatch destination company to view the targets' ratings and bid prices.

[0045] The talent rating device 200 uses the feature vector of the recruitment requirements and the feature vector of the target person to extract targets having a feature vector similar to the feature vector of the recruitment requirements, and transmits matching information S26b including target person information of the extracted targets to the talent bidding device 100. The information providing unit 120 transmits the matching information S26b to the dispatch destination terminal device 500. This allows the dispatch destination agent to view targets who match the recruitment requirements.

[0046] A plurality of destination terminal devices 500 transmit bid request information S28a, 28b, ..., including target person information and bid point number information of a target person, to the talent bidding device 100. The bid price determination unit 230 varies the bid price according to the received bid request. The destination determination unit 140 determines the destination company with the highest number of bid points among the plurality of bid request information S28a, 28b, ..., as the successful bidder, and transmits successful bid information S30, indicating the successful bidder, to the destination terminal device 500, the dispatching source terminal device 400, and the target person terminal device 300.

[0047] The talent bidding device 100 transmits point information S32a, which is obtained by subtracting the number of bidding points from the bidding points held by the successful bidder, to the destination terminal device 500 of the successful bidder, and transmits point information S32b, ..., which returns the number of bidding points to the unsuccessful dispatching companies to the destination terminal devices 500 of the dispatching companies other than the successful bidder. The issuing unit 110 of the talent bidding device 100 transmits point information S34, which issues bidding points as a success fee, to the dispatching source terminal device 400 corresponding to the dispatching company of the successful target.

[0048] When the target person begins working at the dispatching company, the issuing unit 110 transmits fee information S36a indicating a portion of the employment fee (hourly wage) as compensation for the target person's labor to the dispatching source terminal device 400 of the dispatching company of the successful bidder. The fee information S36a may be information indicating the number of bid points. This allows the dispatching company to receive compensation for dispatching the target person. In addition, the human resources bidding device 100 transmits fee information S36b indicating a portion of the employment fee (hourly wage) to the dispatching destination terminal device 500 of the dispatching destination company. This allows the dispatching destination company to receive compensation for employing the target person.

[0049] The talent matching device 104 may perform collaborative filtering processing to recommend candidates to temporary staffing agencies. The talent matching device 104 may search for temporary staffing agencies that are similar to the desired candidate based on the search history or bidding history of the temporary staffing agencies, and recommend candidates that are similar to the candidate for whom the searched temporary staffing agency has made a successful bid. The talent matching device 104 may perform content-based filtering processing to recommend candidates that have feature vectors similar to the feature vector of the candidate viewed by the temporary staffing agency. The talent matching device 104 may estimate feature vectors of the recruitment requirements of the temporary staffing agency through collaborative filtering processing, and recommend candidates that have feature vectors similar to the feature vector of the estimated recruitment requirements through content filtering processing.

[0050] Furthermore, the learning device 214 may train a prediction model using, as learning data, the feature vector of the recruitment conditions of the temporary staffing agency, the feature vector of the target bidder won by the temporary staffing agency, and the winning bid price (number of bid points) updated by the learning information update unit 214c, input the feature vector of the recruitment conditions into the prediction model as an explanatory variable, and recommend a target person and initial bid price value (inference result) that have a feature vector similar to the target person's feature vector output from the prediction model. The prediction model may use statistical models such as normal distribution and binomial distribution, and have parameters for identifying the statistical model. The parameters are set to optimal values ​​for outputting inference results through the learning process.

[0051] Furthermore, the predictive model may be trained using either unsupervised learning or supervised learning. Unsupervised learning includes, for example, dimensionality reduction processing and clustering processing. Dimensionality reduction methods include, for example, principal component analysis, multidimensional scaling, and t-SNE. Clustering processing includes, for example, k-means and hierarchical clustering. Supervised learning includes, for example, classification processing or regression processing. Classification processing includes, for example, decision trees, support vector machines, random forests, and logistics regression. Regression processing includes, for example, partial least squares regression (PLS), lasso regression (least absolute shrinkage and selection operator, LASSO), ridge regression, support vector machines, random forests, and logistics regression. The learning device 214 constructs a prediction model using these learning methods, and uses the constructed prediction model to perform processing in the multivariate analysis unit 200A (the calculation unit 210, the rating determination unit 220, and the bid price determination unit 230).

[0052] As described above, according to the embodiment, a human resources bidding support system 1 can be realized, which includes a target person terminal device 300, a dispatch destination terminal device 500, and a human resources bidding device 100 connected to the target person terminal device 300 and the dispatch destination terminal device 500 via a communication network NW, and the human resources bidding device 100 includes an issuing unit 110 that issues bidding points to the dispatch destination company, an information providing unit 120 that transmits human resources information acquired from the target person terminal device 300 to the dispatch destination terminal device 500, a bid receiving unit 130 that receives a bid request including target person information and bid point number information from the dispatch destination terminal device 500, and a dispatch destination determination unit 140 that determines the dispatch destination of the target person based on the bid request.

[0053] For example, assuming that the target is a pharmacist, the human resources bidding support system 1 can select a pharmacist who can work in a holiday outpatient clinic or at a drugstore in an area where there is a shortage of pharmacists, thereby reducing the number of pharmacist shortages and providing medications to patients. Furthermore, the human resources bidding support system 1 allows companies and pharmacies to dispatch pharmacists to workplaces with different industries or work styles as part of their training to improve their pharmacists' skills. This has the benefit of allowing dispatching companies to improve the skills of their pharmacists and increase the bidding price for the pharmacists. Furthermore, the human resources bidding support system 1 provides free training content in response to the registration of target information, and can increase the bidding price for pharmacists based on their training attendance history and viewing history. This allows the human resources bidding support system 1 to visualize the bidding price based on the pharmacist's skills and further increase their value from the dispatching company's perspective.

[0054] According to the embodiment of the human resources bidding support system 1, for example, information including the target's age, available work locations, working style, work history, or possessed skills is acquired as human resources information from the target terminal device 300, and the target information is transmitted to the dispatch destination terminal device 500 to accept bids, thereby supporting bidding that takes into consideration various circumstances of the human resources. Furthermore, according to the human resources bidding support system 1, the human resources bidding device 100 acquires the target's evaluation results acquired from the external device 600 and determines the target's dispatch destination based on the bid request and the evaluation results. Furthermore, according to the human resources bidding support system 1, even if the target's human resources information or evaluation results are changed, the changed information can be reflected in the bid, allowing the dispatch destination company to secure the most current human resources, similar to dynamic pricing.

[0055] According to the human resources bidding support system 1, the issuing unit 110 performs at least one of the following processes: a process of periodically issuing bid points based on the registration of temporary staffing agency information, a process of periodically issuing bid points based on the registration of temporary staffing agency information, and a process of issuing bid points based on the browsing history of specific content. Therefore, bid points can be issued to temporary staffing agencies and temporary staffing agencies to encourage bids from targets, thereby developing the temporary staffing market for targets. Furthermore, the human resources bidding support system 1 can encourage people to become monthly members, which is the most efficient way to issue points, and promote a subscription business.

[0056] According to the human resources bidding support system 1, the bidding price determination unit 230 determines the bidding price of the target based on the human resources information and the evaluation results of the target, and by transmitting the determined bidding price to the dispatch destination terminal device 500, it is possible to make a bid at a bidding price that reflects the human resources information and evaluation results.

[0057] The human resources bidding support system 1 includes a training content providing device 700 that transmits training content to the target person terminal device 300, and can vary the target person's bid price based on the training content viewing history. As a result, the human resources bidding support system 1 can reflect the target person's training viewing status in the bid price.

[0058] According to the human resources bidding support system 1, by varying the number of bidding points required to win the bid for a target based on the bid price determined by the bid price determination unit 230, it is possible to have a target with high expertise or external evaluations bid for a large number of bidding points in order to win the bid for that target.

[0059] The human resources bidding support system 1 can deduct the bidding points held by the temporary staffing company that has made a successful bid for the target person, and can return the bidding points held by temporary staffing companies other than the successful bidder for the target person. The human resources bidding support system 1 can also issue bidding points as a success fee to the dispatching company of the target person whose bid was successful. Furthermore, the human resources bidding support system 1 can issue bidding points corresponding to a portion of the target person's labor compensation to the dispatching company of the successful bidder. Furthermore, the human resources bidding support system 1 can issue bidding points corresponding to a portion of the target person's labor compensation to the dispatching company of the successful bidder. In this way, the human resources bidding support system 1 can encourage bids for the target person and promote the development of the temporary staffing market.

[0060] Although each embodiment and variant have been described, these are merely examples and are not intended to limit the scope of the present invention. For example, one of the embodiments or variants, or a part of each embodiment or a part of each variant, may be combined with one or more other embodiments or one or more other variants to realize one aspect of the present invention.

[0061] 1... Talent bidding support system, 100... Talent bidding device, 102... Point management device, 104... Talent matching device, 110... Issuing unit, 112... Consumption unit, 120... Information provision unit, 130... Bid reception unit, 140... Dispatch destination determination unit, 200... Talent rating device, 200A... Multivariate analysis unit, 202... Talent registration device, 204... Corporate demand registration unit, 206... Talent information registration unit, 210... Calculation unit, 212... Storage device, 212a... Member 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... Bid price determination unit, 300... Target person terminal device, 400... Dispatch source terminal device, 410... Overall evaluation unit, 500... Dispatch destination terminal device, 600... External device, 700... Training content providing device, 710... Test implementation unit

Claims

1. A system for supporting personnel bidding, comprising: a subject terminal device used by a subject; a destination terminal device used by a destination company for dispatching personnel; a source terminal device used by a source company for dispatching personnel; and a personnel bidding device connected to the subject terminal device, the destination terminal device, and the source terminal device via a communication network. The personnel bidding device includes: an issuing unit that issues bidding points to a destination company; an information providing unit that acquires personnel information obtained from the subject terminal device, external evaluation information obtained from the source terminal device, and job offer information obtained from the destination terminal device; a bidding reception unit that receives a bidding request including subject information and the number of bidding points from the destination terminal device; a destination determination unit that determines the destination of the subject based on the bidding request, the personnel information, and the external evaluation information. A system for supporting personnel bidding.

2. The issuing unit of the system for supporting personnel bidding according to claim 1 performs at least one of the following processes: periodically issuing bidding points based on the registration of destination company information, periodically issuing bidding points based on the registration of source company information, and issuing bidding points based on the browsing history of specific content.

3. The personnel information in the system for supporting personnel bidding according to claim 1 is self-declaration information of the subject including the subject's age, available work location, work form, work history, or possessed skills, and the external evaluation information is information obtained by an external agency other than the subject evaluating the subject.

4. The personnel bidding device acquires the evaluation result of the subject obtained from an external device that evaluates the subject. The destination determination unit of the system for supporting personnel bidding according to claim 1 determines the destination of the subject based on the bidding request and the evaluation result.

5. The personnel bidding device includes a bid price determination unit that determines the bid price of the subject based on the personnel information and the evaluation result of the subject. The information providing unit of the system for supporting personnel bidding according to claim 1 transmits the bid price determined by the bid price determination unit to the destination terminal device.

6. The system for supporting personnel bidding according to claim 5 further includes a content providing device that transmits training content to the subject terminal device. The bid price determination unit varies the bid price of the subject based on the viewing history of the training content. The system for supporting personnel bidding according to claim 5.

7. The dispatch destination determination unit varies the number of bidding points necessary for winning a bid for a target person based on the bid price determined by the auction price determination unit, in the human resources bidding support system according to claim 5.

8. The issuing unit issues bidding points as a successful reward to the sending source company of the winning target person, in the human resources bidding support system according to claim 7.

9. The issuing unit issues bidding points corresponding to a part of the labor compensation of the target person to the sending source company of the winning target person, in the human resources bidding support system according to claim 7.

10. The issuing unit issues bidding points corresponding to a part of the labor compensation of the target person to the destination company of the winning target person, in the human resources bidding support system according to claim 7.

11. A human resources bidding support method for a human resources bidding support system including a target person terminal device used by a target person, a destination terminal device used by a destination company of human resources, a sending source terminal device used by a sending source company of human resources, and a human resources bidding device connected via a communication network to the target person terminal device, the destination terminal device, and the sending source terminal device, wherein the human resources bidding device issues bidding points to a destination company; the target person terminal device transmits the human resources information of the target person to the human resources bidding device; the sending source terminal device transmits the external evaluation information of the target person to the human resources bidding device; the destination terminal device transmits job offer information to the human resources bidding device; the human resources bidding device transmits the human resources information acquired from the target person terminal device to the destination terminal device; the destination terminal device transmits a bidding request including target person information and number of bidding points information to the human resources bidding device; the human resources bidding device receives the bidding request including target person information and number of bidding points information from the destination terminal device; the human resources bidding device determines the destination of the target person based on the bidding request, the human resources information, and the external evaluation information; A human resources bidding support method including these steps.

12. A human resources bidding support device connected via a communication network to a target person terminal device used by a target person, a destination terminal device used by a destination company of human resources, and a sending source terminal device used by a sending source company of human resources, including an issuing unit that issues bidding points to a destination company; An information providing unit that transmits the human resource information acquired from the subject terminal device, the external evaluation information acquired from the dispatching source terminal device, and the job information acquired from the destination terminal device to the destination terminal device; A bid receiving unit that receives a bid request including subject information and bid point number information from the destination terminal device; A destination determination unit that determines the destination of the subject based on the bid request, the human resource information, and the external evaluation information; A human resource bidding support device comprising the above.

13. A computer of a human resource bidding support device connected via a communication network to a subject terminal device used by a subject, a destination terminal device used by a destination company of the human resource, and a dispatching source terminal device used by a dispatching source company of the human resource; An issuing unit that issues bid points to the destination company; An information providing unit that transmits the human resource information acquired from the subject terminal device, the external evaluation information acquired from the dispatching source terminal device, and the job information acquired from the destination terminal device to the destination terminal device; A bid receiving unit that receives a bid request including subject information and bid point number information from the destination terminal device, and A human resource bidding support program that functions as a destination determination unit that determines the destination of the subject based on the bid request, the human resource information, and the external evaluation information.

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