JP-2026076079-A - Information processing systems, information processing methods, and programs

Abstract

[Problem] To provide an information processing system, etc., capable of generating text tailored to job seekers. [Solution] According to one aspect of the present invention, an information processing system is provided, comprising at least one processor, the processor being configured to perform the following steps by reading a program, wherein in the reception step, first job seeker information including information about the attributes of the job seeker is received; in the question information extraction step, question information corresponding to the first job seeker information is extracted from reference information, the question information includes a question to the job seeker and information about an example answer corresponding to the question, the reference information includes a plurality of candidate question information which are pre-generated candidate question information based on accumulated job content, the acquisition step acquires the answer from the job seeker to the question information, and in the job content generation step, text about the job content of the job seeker is generated using second job seeker information, the second job seeker information includes the first job seeker information and the answer acquired in the acquisition step. [Selection Diagram] Figure 1

Inventors

• 苗村 教行
• 回り道 隆宏
• 枝廣 憲

Assignees

• 株式会社ビズリーチ

Dates

Publication Date

20260511

Application Date

20241023

Claims (18)

1. An information processing system, Equipped with at least one processor, The aforementioned processor is configured to perform the following steps by reading a program: In the application step, the first job seeker information, including information about the job seeker's attributes, is received. In the question information extraction step, question information corresponding to the first job seeker information is extracted from the reference information. The aforementioned question information includes questions to the job seeker and information regarding example answers corresponding to those questions. The aforementioned reference information includes multiple candidate question information, which are pre-generated candidate question information based on accumulated job content. In the acquisition step, the answers from the job seeker to the aforementioned question information are obtained. In the job description generation step, the information processing system generates text relating to the job description of the job seeker using second job seeker information, wherein the second job seeker information includes the first job seeker information and the response obtained in the acquisition step.
2. In the information processing system described in claim 1, Furthermore, in the question information candidate generation step, the artificial intelligence module generates the question information candidates based on the accumulated texts related to job descriptions. Furthermore, in the conversion step, the generated candidate question information is converted into a vector, The aforementioned reference information includes the candidate question information and the candidate question information vector, which is a vector of the candidate question information, in an information processing system.
3. In the information processing system described in claim 1, In the aforementioned question information extraction step, the first question information and the second question information are extracted, and here, The information processing system extracts the second question information from the reference information in accordance with the second job seeker information after obtaining the answer to the first question information.
4. In the information processing system described in claim 3, In the aforementioned question information extraction step, Based on the similarity between the first job seeker information vector, which is obtained by vectorizing the first job seeker information, and the question information candidate vector, which is obtained by vectorizing the question information candidate, the first question information corresponding to the first job seeker information is extracted. An information processing system that extracts the second question information corresponding to the second job seeker information based on the similarity between the vectors of the second job seeker information vector, which is obtained by vectorizing the second job seeker information, and the question information candidate vector.
5. In the information processing system described in claim 1, In the job description generation step, the artificial intelligence module uses the second job seeker information as input to generate text about the job description of the job seeker, and here, The artificial intelligence module includes a learning model. The aforementioned learning model is a large-scale language model or a model trained to take the second job seeker information as input and output text related to the job description of the job seeker. If the learning model is the large-scale language model, the second job seeker information and an instruction to output text relating to the job description of the job seeker are input to the large-scale language model. Information processing system.
6. In the information processing system described in claim 1, Furthermore, in the specific text extraction step, specific texts that meet predetermined conditions are extracted from the accumulated texts related to job duties. In the job description generation step, an information processing system generates a document relating to the job description of the job seeker using an artificial intelligence module, based on the specified document.
7. In the information processing system described in claim 6, The aforementioned predetermined conditions include the fact that the number of scouts received is greater than or equal to a predetermined number, in this information processing system.
8. In the information processing system described in claim 6, The aforementioned predetermined condition includes the fact that the document contains predetermined components, and is an information processing system.
9. In the information processing system described in claim 6, Furthermore, in the template candidate generation step, the artificial intelligence module generates template candidates for the sentence structure based on the specified sentence. Furthermore, in the question information candidate generation step, the information processing system generates the question information candidates using the artificial intelligence module to generate text about the job description of the job seeker according to the template candidate.
10. In the information processing system described in claim 9, Furthermore, in the component extraction step, the artificial intelligence module extracts common components that are common to multiple specified sentences, The information processing system generates the template candidate that includes the common components in the template candidate generation step.
11. In the information processing system according to claim 10, The aforementioned common component is an information processing system relating to at least one of the job seeker's achievements, skills, qualifications, and selling points.
12. In the information processing system described in claim 9, In the aforementioned specific text extraction step, the specific text is extracted for each industry or job type. An information processing system that generates template candidates for each industry or each job type in the template candidate generation step.
13. In the information processing system described in claim 9, Furthermore, in the saving step, the information processing system saves the template candidate vector, which is a vector of the template candidate obtained by vectorizing the template candidate, and the question information candidate vector, which is a vector of the question information candidate corresponding to the template candidate, in association with each other.
14. In the information processing system described in claim 9, Furthermore, in the template extraction step, a template corresponding to the first job seeker information is extracted based on the similarity between the first job seeker information vector, which is obtained by vectorizing the first job seeker information, and the template candidate vector, which is obtained by vectorizing the template candidates. An information processing system that extracts the question information corresponding to the template in the question information extraction step.
15. In the information processing system described in claim 14, In the job description generation step, the information processing system generates text relating to the job description of the job seeker using the artificial intelligence module, based on the second job seeker information and the template extracted in the template extraction step.
16. In the information processing system described in claim 15, In the job description generation step, the artificial intelligence module uses the second job seeker information as input to generate text relating to the job seeker's job description, and here, The artificial intelligence module includes a learning model. The aforementioned learning model is a large-scale language model or a model trained to take the second job seeker information as input and output text related to the job description of the job seeker. An information processing system in which the template is input as reference information to the learning model.
17. Information processing method, An information processing method comprising each step performed by the information processing system according to any one of claims 1 to 16.
18. It is a program, A program that causes a computer to perform each step of the information processing system described in any one of claims 1 to 16.

Description

This invention relates to an information processing system, an information processing method, and a program. Patent Document 1 discloses a technology that assists in document creation using templates. Japanese Patent Publication No. 2009-230705 This diagram shows the overall configuration of information processing system 1.This diagram shows the hardware configuration of the server device 10.This diagram shows the hardware configuration of the job seeker terminal 20.This is a block diagram showing the functions realized by the server device 10 (control unit 11) and the job seeker terminal 20 (control unit 21).This figure shows an example of a vector database configuration.This flowchart shows an overview of the information processing performed by Information Processing System 1.This is an activity diagram showing the flow of information processing for constructing a vector database, which is performed by information processing system 1.This is an explanatory diagram illustrating an example of the relationship between a specific sentence and a question information vector.This is an activity diagram showing the flow of information processing for constructing a vector database, which is performed by information processing system 1.This figure shows input screen G3, which is an example of an information input screen. The embodiments of the present invention will be described below with reference to the drawings. The various features shown in the embodiments below are interchangeable. Incidentally, the program for implementing the software appearing in one embodiment may be provided as a computer-readable non-transitor-readable medium, or it may be provided as a downloadable file from an external server, or it may be provided so that the program is launched on an external computer and its functions are realized on a client terminal (so-called cloud computing). Furthermore, in various information processing according to one embodiment, an input and an output corresponding to the input can be realized. Here, as long as an output is obtained as a result of the input, the form of the information referenced in such information processing (hereinafter referred to as "reference information") is not limited. The reference information may be, for example, rule-based information such as a database, a lookup table, or a predetermined function (including a decision formula such as a regression equation constructed using statistical methods), or it may be a pre-trained model that has learned the correlation between input and output in advance, or it may be a large-scale language model that can output a desired result by inputting a prompt. Furthermore, in one embodiment, "part" may include, for example, hardware resources implemented by a broad-sense circuit and the information processing of software that can be specifically realized by these hardware resources. Also, in one embodiment, various types of information are handled, and this information can be represented, for example, by the physical values of signal values representing voltage and current, the high or low values of signal values as a set of binary bits composed of 0s or 1s, or by quantum superposition (so-called qubits), and communication and calculations can be performed on a broad-sense circuit. Furthermore, a circuit in a broad sense is a circuit realized by combining at least an appropriate combination of circuits, circuits, processors, and memory. The processor may be a general-purpose processor or a dedicated circuit. In other words, this includes application-specific integrated circuits (ASICs), programmable logic devices (e.g., simple programmable logic devices (SPLDs), complex programmable logic devices (CPLDs), and field programmable gate arrays (FPGAs)), etc.). 1. Hardware Configuration This section describes the hardware configuration of the information processing system according to this embodiment. Figure 1 shows the overall configuration of Information Processing System 1. Figure 1 outlines the various devices included in Information Processing System 1 and the users who utilize them. Each outline will be explained as needed, referring to other figures. Information Processing System 1 is an information processing system that performs document generation processing, which is information processing to support the creation of documents related to job duties included in documents concerning job seekers, such as resumes. A resume, also known as a CV, is a document in which a job seeker communicates their past work experience, skills, qualifications, etc., to an employer. In this embodiment, Information Processing System 1 supports job seeker U1 in creating documents related to job duties. Documents related to job duties can be any document describing the jobs and tasks the job seeker has experienced, and include, for example, a document summarizing job duties (job summary). While a resume is used as an example of the document to be created, it is not