Search

KR-102963809-B1 - METHOD AND SYSTEM FOR OPERATING A PLATFORM THAT MATCHES TASK BASED ON CHATBOT

KR102963809B1KR 102963809 B1KR102963809 B1KR 102963809B1KR-102963809-B1

Abstract

One embodiment of the present invention aims to provide a method for operating a chatbot-based work matching platform performed by a server. The method comprises the steps of: receiving a work request form containing information regarding the field of request, content of the request, and budget of the work to be requested by the user from a user terminal connected to the server, and requirements regarding the individual needs of the user; analyzing the work request form to derive information on the risk of dispute regarding the expected dispute if a work contract is concluded according to the details in the work request form, and deriving information on appropriate work costs based on whether the budget falls within the range of standard unit prices allocated to the field of request; and providing worker information corresponding to the requirements and the work request form to the user terminal to mediate a work contract between a worker terminal connected to the server and the user terminal. The step of mediating the contract further comprises, if it is determined that the work request form needs to be modified based on the information on the risk of dispute and the information on appropriate work costs, sending a request message to modify the work request form to the user terminal and receiving a modified work request form from the user terminal to replace the original work request form.

Inventors

  • 조재민

Dates

Publication Date
20260513
Application Date
20250108

Claims (12)

  1. In a method for operating a chatbot-based job matching platform performed by a server, a) A step of receiving a work request form containing information regarding the field of work, content of the request, and budget of the work the user intends to request, and requirements regarding the user's individual needs from a user terminal connected to the server; b) a step of analyzing the above work request to derive information on dispute risks regarding expected disputes when a work contract is concluded in accordance with the details in the above work request, and deriving information on appropriate work costs based on whether the above budget falls within the range of standard unit prices allocated to the above request field; and c) A step of mediating a work contract between a worker terminal and a user terminal by providing worker information that conforms to the above requirements and the above work request form to the user terminal, wherein the worker terminal is connected to the server via communication and the user terminal, The above step c) is, c-1) If it is determined that the work order needs to be modified based on the dispute risk information and the appropriate work cost information, the method includes the step of sending a work order modification request message to the user terminal, receiving a modified work order from the user terminal, and replacing the work order with the modified work order. The above dispute risk information is generated by the first artificial intelligence model, and The above dispute risk information is, It includes the types of disputes foreseen when the above business contract is concluded in accordance with the details in the above business request, the dispute risk score, and matters of concern regarding disputes among the details in the above business request that are subject to dispute, and The above-mentioned first artificial intelligence model is, A dispute work request form for a work that has been in dispute and dispute case data labeled for the said dispute work request form are used as a training dataset, and upon receiving the said work request form, the system is trained to output the types of disputes foreseen when the said work contract is concluded according to the details in the said work request form, the dispute risk scores for each said dispute type, response measures for each said dispute type, and the said concerns regarding the dispute. The above-mentioned labeled dispute case data is, One or more of the case type, major keywords for each of the above types of disputes, and client requirements are labeled on the above dispute work request form, and The above step b) is, b-1) A step of deriving the cause and result of a specific dispute based on the dispute work request form of a specific disputed work using the above-mentioned first artificial intelligence model; b-2) a step of using the first artificial intelligence model to extract features with potential for dispute from the business request form, and determining the similarity between the dispute business request form and the business request form based on the features with potential for dispute, the cause and result of the specific dispute; and b-3) If the above similarity is greater than or equal to a preset value, the method includes the step of deriving the above response measures regarding the above dispute concerns of the above work request form, How to operate a chatbot-based job matching platform.
  2. delete
  3. delete
  4. In paragraph 1, Step c) above is performed by the second artificial intelligence model, and The above second artificial intelligence model is, The above-mentioned standard unit price range for each request field is used as training data, and when the above-mentioned work request form is received, the worker is trained to output the above-mentioned worker information corresponding to the above-mentioned standard unit price range when performing work corresponding to the request content in the above-mentioned request field. How to operate a chatbot-based job matching platform.
  5. In paragraph 1, The above step c-1) is performed by a third artificial intelligence model, and The above third artificial intelligence model is, The above-mentioned dispute concerns, above-mentioned dispute risk information, and above-mentioned appropriate business cost information are used as training data, and the system is trained to output defects in the above-mentioned business order and alternative corrections for the above-mentioned defects when the above-mentioned business order is received, How to operate a chatbot-based job matching platform.
  6. In paragraph 5, The above defects are, This includes cases where one or more of the above-mentioned request fields and request details are omitted, cases where the above-mentioned request details contain inconsistent elements, and cases where the above-mentioned request fields and request details contain abstract expressions and are not clearly described. How to operate a chatbot-based job matching platform.
  7. In paragraph 5, The above step c-1) is, A step of generating a first modification proposal message proposing a modification of the above work request form based on the above response plan, determining whether the above defect exists in the above work request form, and if the above defect exists, generating a second modification proposal message including a list of the above defects and a modification alternative for the above defects; and The method includes the step of transmitting a first revision proposal message and a second revision proposal message to the user terminal and receiving the revision work request form from the user terminal. How to operate a chatbot-based job matching platform.
  8. In paragraph 1, The above requirements are, Includes a selection list and work request text, An initial value is set based on the selection input of the user terminal regarding the above selection list, and is changed based on the above business request text. How to operate a chatbot-based job matching platform.
  9. In paragraph 8, d) further comprising the step of transmitting a feedback message regarding the changed requirement to the user terminal when the above requirement is changed based on the above business request text, How to operate a chatbot-based job matching platform.
  10. In paragraph 1, e) When receiving an additional work request form from the user terminal that includes the same request field and request content as the request field and request content, the method further includes the step of providing the user terminal with examples of previously stored work results regarding the request field and request content, and feedback and learning materials regarding the request field and request content. How to operate a chatbot-based job matching platform.
  11. In Paragraph 10, The above step e) is, It is performed by the fourth artificial intelligence model, and The above-mentioned fourth artificial intelligence model is, The above-mentioned examples of work results for each request field are used as training data, and when the above-mentioned request field and the above-mentioned request content are received, the above-mentioned examples of work results when a task is performed in the above-mentioned request field in response to the above-mentioned request content, the above-mentioned feedback regarding the above-mentioned request content, and the above-mentioned training materials are trained to output the above-mentioned examples of work results when a task is performed in the above-mentioned request field in response to the above-mentioned request content, the above-mentioned feedback regarding the above-mentioned request content, and the above-mentioned training materials. How to operate a chatbot-based job matching platform.
  12. A communication module that communicates with user terminals and worker terminals; At least one processor; and It includes a memory electrically connected to the processor and storing at least one code executed by the processor, When the above memory is executed through the above processor, The processor stores code that causes the processor to receive from the user terminal a work request form containing information regarding the request field, request details, and budget of the work the user intends to request, and requirements regarding the user's individual needs, analyzes the work request form to derive information on dispute risks regarding expected disputes if a work contract is concluded according to the details in the work request form, derives information on appropriate work costs based on whether the budget falls within the range of standard unit prices allocated to the request field, and provides worker information corresponding to the requirements and the work request form to the user terminal to mediate a work contract between the worker terminal and the user terminal. If it is determined that the above work order needs to be modified based on the above dispute risk information and the above appropriate work cost information, a work order modification request message is sent to the above user terminal, and code is further stored to receive the modified work order from the above user terminal and cause it to be replaced with the above work order. The above dispute risk information is generated by the first artificial intelligence model, and The above dispute risk information is, It includes the types of disputes foreseen when the above business contract is concluded in accordance with the details in the above business request, the dispute risk score, and matters of concern regarding disputes among the details in the above business request that are subject to dispute, and The above-mentioned first artificial intelligence model is, A dispute work request form for a work that has been in dispute and dispute case data labeled for the said dispute work request form are used as a training dataset, and upon receiving the said work request form, the system is trained to output the types of disputes foreseen when the said work contract is concluded according to the details in the said work request form, the dispute risk scores for each said dispute type, response measures for each said dispute type, and the said concerns regarding the dispute. The above-mentioned labeled dispute case data is, One or more of the case type, major keywords for each of the above types of disputes, and client requirements are labeled on the above dispute work request form, and The above memory is, The above processor uses the first artificial intelligence model to derive the cause and result of the specific dispute based on the dispute request form of the business where the specific dispute occurred, uses the first artificial intelligence model to extract features with potential for dispute from the business request form, determines the similarity between the dispute request form and the business request form based on the features with potential for dispute and the cause and result of the specific dispute, and further stores code that causes the processor to derive the response plan regarding the concerns of the dispute in the business request form if the similarity is greater than or equal to a preset value. Chatbot-based job matching platform operating system.

Description

Method and System for Operating a Chatbot-Based Task Matching Platform The present invention relates to a method and system for operating a chatbot-based job matching platform, and more specifically, to a method and system for operating a chatbot-based job matching platform that analyzes the field and content of the request to suggest user-customized dispute prevention measures, and recommends the optimal worker within the budget range by calculating the typical unit price range of the relevant work through an artificial intelligence model. With the recent spread of a culture of outsourcing work between companies and individuals, or between individuals themselves, services connecting workers, such as freelancers, with clients on various online platforms are becoming commonplace. These services typically operate by having clients register their work details, after which the system searches for and matches them with suitable workers. However, in conventional matching services, problems frequently arise where work request forms are not clearly drafted, leading to future disputes, or where satisfaction relative to the budget is low because contract terms between the client and the worker are not properly adjusted. Since general job matching platforms mostly perform request review and analysis of potential disputes manually, it is difficult to identify potential disputes in advance or automatically check for the omission of legally and contractually important clauses (e.g., copyright ownership, confidentiality, work deadlines). Furthermore, there are frequent instances where work efficiency declines, such as project delays or reduced quality, because negotiations between the client and the worker do not proceed smoothly when the workload or difficulty level is set inappropriately relative to the budget. With the advancement of artificial intelligence (AI) technology, various chatbot services are being introduced, but integrated services that detect potential disputes in advance, supplement legal provisions, calculate standard unit price ranges, and even match workers are still lacking. To address this, there is a need for a method and system for operating a chatbot-based job matching platform that reduces the risk of disputes and matches jobs by considering preliminary inquiries and requirements. FIG. 1 is a drawing illustrating a chatbot-based work matching platform operating device according to an embodiment of the present invention, and a user terminal and a worker terminal connected thereto. Figure 2 is a diagram illustrating the detailed configuration of the chatbot-based job matching platform operating device shown in Figure 1. FIG. 3 is a flowchart illustrating the sequence of a method for operating a chatbot-based business matching platform according to another embodiment of the present invention. FIGS. 4 and FIGS. 5 are flowcharts illustrating the sequence of additional steps included in the chatbot-based job matching platform operation method illustrated in FIG. 3. The present invention will be described in detail below with reference to the attached drawings. However, the present invention may be embodied in various different forms and is not limited to the embodiments described herein. Furthermore, the attached drawings are intended only to facilitate understanding of the embodiments invented in this specification, and the technical concept invented in this specification is not limited by the attached drawings. All terms used herein, including technical and scientific terms, should be interpreted in the sense generally understood by those skilled in the art to which the present invention pertains. Terms defined in advance should be interpreted as having additional meanings consistent with relevant technical literature and the currently invented content, and unless otherwise defined, should not be interpreted in a highly ideal or restrictive sense. In order to clearly explain the invention in the drawings, parts unrelated to the explanation have been omitted, and the size, form, and shape of each component shown in the drawings may be varied. Throughout the specification, identical or similar parts are denoted by identical or similar reference numerals. Suffixes such as "module" and "function" used for components in the following description are assigned or used interchangeably solely for the ease of drafting the specification, and do not inherently possess distinct meanings or roles. Furthermore, in describing the embodiments invented in this specification, detailed descriptions of related prior art have been omitted where it is determined that such detailed descriptions could obscure the essence of the embodiments invented in this specification. Throughout the specification, when it is stated that a part is "connected (connected, contacted, or coupled)" to another part, this includes not only cases where they are "directly connected (connected, contacted, or coupled)," but also cases where they are