Method and device for adjusting personal information and electronic equipment

By analyzing the matching degree between personal information and scenario descriptions, and simulating external perspectives to generate adjustment suggestions, this solves the problem that existing tools cannot generate personalized solutions, and achieves more efficient personal information optimization.

CN120910248APending Publication Date: 2025-11-07QINGDAO HAIER TECH +2
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Patent Information

Application Number
CN202510965142.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-14
Publication Date
2025-11-07

AI Technical Summary

Technical Problem

Existing personal information optimization tools cannot generate personalized modification plans based on specific scenarios, resulting in poor optimization effects.

Method used

By acquiring personal information and scenario descriptions input by users, analyzing the matching degree, and simulating an external perspective to generate adjustment suggestions, including supplementing missing keywords, strengthening keywords, optimizing layout and format, and providing personalized adjustment suggestions.

Benefits of technology

It improved the alignment between personal information and scenario descriptions, shortened optimization time, increased optimization efficiency and effectiveness, and ensured the targeted nature of adjustment suggestions.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of personal information optimization, and discloses a method and device for adjusting personal information and electronic equipment, and the method comprises the steps: obtaining the personal information and scene description inputted by a user; analyzing the matching degree of the personal information and the scene description according to the personal information and the scene description, and determining an information adjustment direction according to the matching degree; based on the information adjustment direction, simulating analysis logic of an external view angle on the personal information, and generating an adjustment suggestion for the personal information; and generating a proposal for adjusting the personal information according to the adjustment suggestion. According to the method and the device, the high pertinence of the adjustment suggestion can be ensured, so that the adjusted personal information better meets the requirement of scene description and the actual demand, and the optimization effect of the personal information is improved.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of personal information optimization, for example, to a method and device for adjusting personal information, and an electronic device. BACKGROUND

[0002] Personal information is a core tool for users to show their abilities and experiences. Existing personal information optimization tools mostly provide general templates or suggestions based on keyword stacking. These tools cannot generate personalized modification schemes according to specific scene descriptions.

[0003] In the related art, a dynamic personal information optimization method based on natural language processing and intelligent analysis is disclosed, including: receiving user input personal information and scene description; preprocessing the personal information, automatically extracting and analyzing the personal information based on natural language processing technology to obtain key information and potential problems; determining the demand information of the scene description, matching the key information with the demand information, and generating optimization suggestions according to the matching result; selecting an information template from a template library according to the scene description, and automatically filling the personal information into the information template to adjust the layout and format of the personal information content.

[0004] In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art:

[0005] The related art only optimizes the key information of the personal information according to the demand information of the scene description, and the personal information optimization effect is poor.

[0006] It should be noted that the information disclosed in the above background section is only used to strengthen the understanding of the background of the present application, and therefore can include information that does not constitute prior art known to those of ordinary skill in the art. SUMMARY

[0007] To facilitate an understanding of some aspects of the embodiments disclosed, a brief summary is given below. The summary is not a general review of the application, nor is it intended to determine key / important elements or delineate the scope of the embodiments, but to serve as a prelude to the detailed description below.

[0008] The embodiments of the present disclosure provide a method and device for adjusting personal information, and an electronic device, to improve the optimization effect of personal information.

[0009] In some embodiments, the method for adjusting personal information includes: obtaining user input personal information and scene description; analyzing the matching degree of the personal information and the scene description according to the personal information and the scene description, and determining the information adjustment direction according to the matching degree; simulating the analysis logic of the external perspective on the personal information based on the information adjustment direction, generating adjustment suggestions for the personal information; and generating a proposal for adjusting the personal information according to the adjustment suggestions.

[0010] Optionally, the matching degree of the personal information and the scene description is analyzed according to the personal information and the scene description, and the information adjustment direction is determined according to the matching degree, including: extracting keywords of the scene description; the keywords include one or more of skills, experience weights, and cultural labels; analyzing the matching degree of the personal information and the keywords of the scene description based on each keyword, and analyzing the keyword score of the content corresponding to each keyword according to the matching degree of each keyword; determining the information adjustment direction according to all keyword scores.

[0011] Optionally, the analysis logic of the external perspective on the personal information is simulated to generate an adjustment suggestion for the personal information, including: simulating the analysis logic of the external perspective to analyze the personal information and the scene description, and analyzing the advantages and disadvantages of the personal information; the external perspective includes one or more of observers, peers, and experienced persons; generating an adjustment suggestion for the personal information according to the advantages and disadvantages of the personal information.

[0012] Optionally, the adjustment suggestion for the personal information includes one or more of the following: supplementing missing keywords and / or strengthening keywords according to scene requirements; weakening irrelevant experiences and / or highlighting relevant experiences; labeling personal information layout, format errors, and optimizing personal information structure; providing a personal information template reference.

[0013] Optionally, a proposal for adjusting the personal information is generated according to the adjustment suggestion, including: generating an adjustment example of the personal information according to the adjustment suggestion; generating a proposal in the form of a visual report according to the adjustment example.

[0014] Optionally, the method for adjusting the personal information further includes: generating a predicted communication topic according to the personal information and the scene description; generating a proposal for adjusting the personal information and interactive guidance according to the adjustment suggestion and the predicted communication topic.

[0015] Optionally, the predicted communication topic is generated according to the personal information and the scene description, including: extracting scene expectations from the scene description and relevant information related to the scene expectations from the personal information; generating a predicted communication topic based on a multi-dimensional interactive context according to the relevant information in the personal information.

[0016] Optionally, the method for adjusting the personal information further includes: generating a simulated interactive scene according to the predicted communication topic; generating a feedback report after the user performs simulated communication according to the simulated interactive scene, and providing interactive training resources according to weak communication links.

[0017] In some embodiments, the device for adjusting the personal information includes a processor and a memory storing program instructions, the processor being configured to execute the method for adjusting the personal information as described above when running the program instructions.

[0018] In some embodiments, the electronic device comprises: an electronic device body; the device for adjusting personal information as described above, which is installed on the electronic device body.

[0019] The method and device for adjusting personal information, and the electronic device provided by the embodiments of the present disclosure can achieve the following technical effects:

[0020] In the embodiments of the present disclosure, the personal information and the scene description are analyzed first, the matching degree of the personal information and the scene description can be accurately calculated, the information adjustment direction is determined according to the matching degree, then the analysis logic of the external perspective is simulated to generate the adjustment suggestion for the personal information, and finally the proposal for adjusting the personal information is generated according to the adjustment suggestion, so that the high pertinence of the adjustment suggestion can be ensured, the adjusted personal information is more suitable for the requirements and actual needs of the scene description, and the optimization effect of the personal information is improved. In addition, through automatic analysis and suggestion generation, the optimization time of the personal information can be shortened, and the optimization efficiency of the personal information is improved.

[0021] The foregoing general description and the following description are only exemplary and explanatory, and are not used to limit the present application. BRIEF DESCRIPTION OF DRAWINGS

[0022] One or more embodiments are exemplarily illustrated by corresponding drawings, which do not constitute limitation on the embodiments, elements with the same reference numerals in the drawings are shown as similar elements, the drawings do not constitute proportional limitation, and wherein:

[0023] Figure 1 is a schematic diagram of a method for adjusting personal information provided by the embodiments of the present disclosure;

[0024] Figure 2 is a schematic diagram of another method for adjusting personal information provided by the embodiments of the present disclosure;

[0025] Figure 3 is a schematic diagram of another method for adjusting personal information provided by the embodiments of the present disclosure;

[0026] Figure 4 is a schematic diagram of another method for adjusting personal information provided by the embodiments of the present disclosure;

[0027] Figure 5 is a schematic diagram of another method for adjusting personal information provided by the embodiments of the present disclosure;

[0028] Figure 6 is a schematic diagram of a device for adjusting personal information provided by the embodiments of the present disclosure. DETAILED DESCRIPTION

[0029] In order to enable more detailed understanding of the features and technical contents of the embodiments of the present disclosure, the implementation of the embodiments of the present disclosure is described in detail below, and the attached drawings are used for reference only and do not limit the embodiments of the present disclosure. In the following technical description, in order to facilitate explanation, a plurality of details are provided to provide a full understanding of the disclosed embodiments. However, one or more embodiments can still be implemented without these details. In other cases, well-known structures and devices can be simplified to facilitate the drawings.

[0030] The terms "first", "second", and the like in the technical solutions described in the present application are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances to implement the embodiments of the present disclosure described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion.

[0031] Unless otherwise specified, the term "a plurality of" means two or more.

[0032] In the embodiments of the present disclosure, the character " / " represents a "or" relationship between the objects before and after it. For example, A / B represents: A or B.

[0033] The term "and / or" is a description of the association between objects, which means that there can be three relationships. For example, A and / or B, which means: A or B, or, A and B, three relationships.

[0034] The term "corresponding" can refer to an association or binding relationship. A and B correspond to each other means that A and B have an association or binding relationship.

[0035] In combination Figure 1 As shown, the embodiments of the present disclosure provide a method for adjusting personal information, the execution subject of the method can be a processor, and the method comprises:

[0036] S101, the processor acquires the personal information and the scene description input by the user.

[0037] S102, the processor analyzes the matching degree of the personal information and the scene description according to the personal information and the scene description, and determines the information adjustment direction according to the matching degree.

[0038] S103, the processor simulates the analysis logic of the external perspective to the personal information based on the information adjustment direction, and generates an adjustment suggestion for the personal information.

[0039] S104, the processor generates a proposal for adjusting the personal information according to the adjustment suggestion.

[0040] In the embodiments of the present disclosure, the personal information and the scene description are first analyzed, the matching degree of the personal information and the scene description can be accurately calculated, the information adjustment direction is determined according to the matching degree, then the analysis logic of the external perspective is simulated, the adjustment suggestion for the personal information is generated, finally the suggestion for adjusting the personal information is generated according to the adjustment suggestion, so that the high pertinence of the adjustment suggestion can be ensured, the adjusted personal information is more suitable for the requirements and actual needs of the scene description, and the optimization effect of the personal information is improved. In addition, through automatic analysis and suggestion generation, the optimization time of the personal information can be shortened, and the optimization efficiency of the personal information is improved.

[0041] Optionally, the personal information includes resume information. The resume information includes resume attachments.

[0042] Optionally, the scene description includes post information. The post information includes post requirements and a company to be recruited.

[0043] Optionally, according to the personal information and the scene description, the matching degree of the personal information and the scene description is analyzed, and the information adjustment direction is determined according to the matching degree, including: extracting keywords of the scene description; the keywords include one or more of skills, experience weights and cultural labels; analyzing the matching degree of the personal information and the keywords of the scene description based on each keyword, and analyzing the keyword score of the content corresponding to each keyword according to the matching degree of each keyword; and determining the information adjustment direction according to all keyword scores.

[0044] In combination with Figure 2 As shown in the embodiments of the present disclosure, another method for adjusting personal information is provided, including:

[0045] S201, the processor acquires personal information and scene description input by a user.

[0046] S202, the processor extracts keywords of the scene description; the keywords include one or more of skills, experience weights and cultural labels.

[0047] S203, the processor analyzes the matching degree of the personal information and the keywords of the scene description based on each keyword, and analyzes the keyword score of the content corresponding to each keyword according to the matching degree of each keyword.

[0048] S204, the processor determines the information adjustment direction according to all keyword scores.

[0049] S205, the processor simulates the analysis logic of the personal information from the external perspective based on the information adjustment direction, and generates the adjustment suggestion for the personal information.

[0050] S206, the processor generates the suggestion for adjusting the personal information according to the adjustment suggestion.

[0051] In this embodiment, by extracting keywords from the scene description and analyzing the matching degree, the fit degree of personal information and the scene description can be accurately evaluated, ensuring the high pertinence of the information optimization suggestions, and making the optimized personal information more suitable for the requirements of the scene description. Based on the matching degree of each keyword and the keyword score, personalized adjustment suggestions for the personal information content can be generated, helping users understand more specifically where to improve. Finally, by comprehensively evaluating the keyword scores of all keywords, the overall adjustment direction of the personal information can be determined, ensuring the comprehensiveness and consistency of the information optimization.

[0052] Optionally, the keywords of the scene description are extracted, including: using natural language processing technology to extract keywords from the scene description.

[0053] Optionally, the matching degree of the personal information and the keywords of the scene description is analyzed based on each keyword, including: using a semantic matching algorithm and knowledge graph technology to generate a scene expectation-personal ability mapping matrix, and analyzing the matching degree of the content in the personal information and the keywords according to the matrix.

[0054] Optionally, the keyword score of the content corresponding to each keyword is analyzed according to the matching degree of each keyword, including: the higher the keyword matching degree, the higher the keyword score of the content corresponding to the keyword, that is, the smaller the adjustment range of the adjustment direction corresponding to the keyword.

[0055] Optionally, the information adjustment direction is determined according to all keyword scores, including: assigning weights to different keywords according to the scene expectations in the scene description; calculating the weighted keyword scores of all keywords to determine the overall adjustment direction of the personal information.

[0056] In this embodiment, different scene descriptions may have different requirements for the same keyword. For example, for a job scene description, a technical post may place more emphasis on skills, while a sales post may place more emphasis on experience weight. Therefore, weights need to be assigned to different keywords, then weighted calculation is performed, and the personal information adjustment direction is determined according to the weighted calculation score. For example: if the matching degree of the skill keyword is low, the personal information adjustment direction focuses on the description of related skills; if the matching degree of the experience weight keyword is high, but the layout format is poor, the personal information adjustment direction focuses on the layout.

[0057] Optionally, the analysis logic of the external perspective on the personal information is simulated to generate adjustment suggestions for the personal information, including: simulating the analysis logic of the external perspective to analyze the personal information and the scene description, and analyzing the strengths and weaknesses of the personal information; the external perspective includes one or more of observers, peers, and experienced persons; generating adjustment suggestions for the personal information according to the strengths and weaknesses of the personal information.

[0058] In combination withFigure 3 As shown, the embodiment of the present disclosure provides another method for adjusting personal information, comprising:

[0059] S301, the processor acquires the personal information and the scene description input by the user.

[0060] S302, the processor analyzes the matching degree of the personal information and the scene description according to the personal information and the scene description, and determines the information adjustment direction according to the matching degree.

[0061] S303, the processor analyzes the personal information and the scene description based on the analysis logic of the external perspective, and analyzes the advantages and disadvantages of the personal information.

[0062] Among them, the external perspective includes one or more of observers, colleagues and senior people.

[0063] S304, the processor generates adjustment suggestions for the personal information according to the advantages and disadvantages of the personal information.

[0064] S305, the processor generates a proposal for adjusting the personal information according to the adjustment suggestions.

[0065] In this embodiment, by simulating the analysis logic of different roles, the advantages and disadvantages of the personal information can be comprehensively evaluated from multiple dimensions, ensuring the comprehensiveness and accuracy of the information adjustment suggestions. Based on the advantages and disadvantages of the personal information, personalized adjustment suggestions for the personal information can be generated to help users understand the areas that need to be improved more specifically. In addition, through automatic analysis and suggestion generation, the generation time of the information adjustment suggestions is shortened.

[0066] Optionally, for the adjustment of the resume information, the external perspective includes the enterprise personnel of the company to be recruited. The observers include human resource personnel; the colleagues include the department head of the post; and the senior people include the senior management personnel of the enterprise.

[0067] Optionally, according to different roles of the external perspective, analysis models are respectively constructed. In this way, each model will focus on different analysis dimensions, for example: the analysis model corresponding to the observer will focus on the basic format, layout, keyword matching degree, etc. of the personal information; the analysis model corresponding to the colleague will focus on professional skills, project experience, technical ability, etc.; and the analysis model corresponding to the senior person will focus on personal development, strategic adaptation, cultural fit, etc.

[0068] Optionally, the adjustment suggestions for the personal information include one or more of the following: supplementing missing keywords and / or strengthening keywords according to the scene requirements; weakening non-related experiences and / or highlighting related experiences; marking personal information layout, format errors, optimizing personal information structure; providing personal information template reference.

[0069] In this embodiment, by supplementing missing keywords and / or strengthening keywords, the personal information will be more accurately matched with the scene expectations, ensuring the high pertinence of the information adjustment suggestions, and making the personal information more suitable for the requirements of the scene description. By weakening irrelevant experiences and / or highlighting relevant experiences, the personal information will more clearly show the user's professional ability and advantages, helping to attract the attention of external perspectives and improving the user's competitiveness. By marking the typesetting and format errors, optimizing the structure of the personal information, and using personal information templates for reference, the personal information will be more in line with industry standards, improving its professionalism and helping to improve the overall quality of the personal information.

[0070] Optionally, by natural language processing technology, the keywords in the scene description are extracted, and it is analyzed whether the keywords are included in the personal information. If some keywords are missing in the personal information, it is suggested to supplement these keywords. If some keywords appear in the personal information but are not prominent enough, it is suggested to strengthen these keywords.

[0071] Optionally, by semantic analysis and pattern recognition technology, the relevant and irrelevant experiences in the personal information are identified, and it is suggested to weaken the irrelevant experiences and highlight the relevant experiences.

[0072] Optionally, by text analysis and typesetting rule engine, the typesetting and format errors in the personal information are identified, and it is suggested to optimize the structure of the personal information to make it more in line with industry standards.

[0073] Optionally, the personal information typesetting includes: font, font size, line spacing, alignment, etc.

[0074] Optionally, the format errors include: checking whether the format of the personal information conforms to the industry standards, such as whether there are clear titles, subtitles, bullets, etc.

[0075] Optionally, a personal information template reference is provided, including: providing high-conversion personal information template references according to the scene description. These templates can help users optimize the overall layout and content presentation of the personal information.

[0076] Optionally, a proposal for adjusting the personal information is generated according to the adjustment suggestions, including: generating adjustment examples of the personal information according to the adjustment suggestions; generating a proposal in the form of a visual report according to the adjustment examples.

[0077] In this embodiment, by generating specific adjustment examples, the abstract adjustment suggestions can be concretized, making it easier for users to understand how to optimize the personal information. And presenting the proposal in the form of a visual report can also help users understand the adjustment suggestions more intuitively, reducing the understanding cost.

[0078] Optionally, adjustment examples of the personal information are generated according to the adjustment suggestions, which will show how to supplement keywords, strengthen key skills, weaken irrelevant experiences, highlight relevant experiences, optimize layout and format, etc. according to the scene expectations. For each adjustment suggestion, specific examples will be generated. For example, if it is suggested to supplement a certain skill keyword, an example will be shown on how to add a description of the skill in the personal information. The adjustment examples are presented to the user in a clear and understandable way, ensuring that the user can quickly understand and apply them.

[0079] Optionally, the method for adjusting the personal information further comprises: generating a predicted communication topic according to the personal information and the scene description; and generating a proposal for adjusting the personal information and the interactive guidance according to the adjustment suggestion and the predicted communication topic.

[0080] In combination Figure 4 As shown, the embodiment of the present disclosure provides another method for adjusting personal information, comprising:

[0081] S401, the processor acquires the personal information input by the user and the scene description.

[0082] S402, the processor analyzes the matching degree of the personal information and the scene description according to the personal information and the scene description, and determines the information adjustment direction according to the matching degree.

[0083] S403, the processor simulates the analysis logic of the external perspective on the personal information based on the information adjustment direction, and generates an adjustment suggestion for the personal information.

[0084] S404, the processor generates a predicted communication topic according to the personal information and the scene description.

[0085] S405, the processor generates a proposal for adjusting the personal information and the interactive guidance according to the adjustment suggestion and the predicted communication topic.

[0086] In this embodiment, by generating a proposal for adjusting the personal information and the interactive guidance, not only does it help the user to optimize the personal information, but also provides guidance for communication and interaction, achieving the integration of personal information optimization and interaction preparation. By automatically generating a predicted communication topic and a proposal, the time for the user to prepare communication materials can be significantly shortened. The user can complete personal information optimization and communication preparation in a short time and quickly respond to the requirements of the scene.

[0087] Optionally, for the job-seeking scene, the predicted communication topic includes a predicted interview question; and the interactive guidance includes interview guidance.

[0088] Optionally, the predicted communication topic is generated according to the personal information and the scene description, including: extracting a scene expectation from the scene description, and extracting relevant information related to the scene expectation from the personal information; and generating the predicted communication topic based on a multi-dimensional interactive context according to the relevant information in the personal information.

[0089] In this embodiment, the predicted communication topic is generated according to the relevant information in the personal information, which can ensure that the interactive preparation is closely combined with the actual situation of the user. The predicted communication topic is generated from the multi-dimensional interactive context, which can comprehensively cover all aspects of the interactive process and help the user to make full interactive preparation.

[0090] Optionally, for a job-seeking scene, the scene expectation includes job requirements, and the multi-dimensional interactive context includes a technical interview, a behavioral interview, and a cultural interview.

[0091] In this embodiment, the interview questions are generated according to the relevant information in the resume, which ensures that the interview preparation is closely combined with the actual situation of the job seeker. The predicted interview questions are generated from the multi-dimensional interview context of the technical interview, the behavioral interview, and the cultural interview, which can comprehensively cover all aspects of the interview and help the user to make full interview preparation.

[0092] Optionally, the predicted interview questions are generated from the multi-dimensional interview context of the technical interview, the behavioral interview, and the cultural interview according to the relevant information in the resume information, including: generating relevant technical interview questions according to the technical requirements of the job; generating relevant behavioral interview questions according to the behavioral requirements of the job; and generating relevant cultural interview questions according to the cultural requirements of the job.

[0093] Optionally, the technical interview questions include algorithm questions and project questions; the behavioral interview questions include stress test questions and scenario simulation questions; and the cultural interview questions include value observation and answering questions. For example, if the job requirements mention “Python programming”, interview questions related to Python programming will be generated; if the job requirements mention “team cooperation ability”, behavioral interview questions related to team cooperation will be generated; and if the job requirements mention “enterprise culture adaptation”, questions related to enterprise culture will be generated. In addition, the user can also upload exclusive interview questions of the enterprise.

[0094] Optionally, the method for adjusting the personal information further includes: generating a simulated interactive scene according to the predicted communication topic; generating a feedback report after the user performs simulated communication according to the simulated interactive scene, and providing interactive training resources according to weak links in communication.

[0095] In combination with Figure 5 the disclosed embodiments, another method for adjusting personal information is provided, including:

[0096] S501, the processor acquires personal information and a scene description input by a user.

[0097] S502, the processor analyzes a matching degree of the personal information and the scene description according to the personal information and the scene description, and determines an information adjustment direction according to the matching degree.

[0098] S503, the processor simulates an analysis logic of an external perspective on the personal information based on the information adjustment direction, and generates an adjustment suggestion for the personal information.

[0099] S504, the processor generates a predicted communication topic according to the personal information and the scene description.

[0100] S505, the processor generates a suggestion for adjusting the personal information and interactive guidance according to the adjustment suggestion and the predicted communication topic.

[0101] S506, the processor generates a simulated interactive scene according to the predicted communication topic.

[0102] S507, the processor generates a feedback report after the user performs simulated communication according to the simulated interactive scene, and provides interactive training resources according to a weak link in communication.

[0103] In this embodiment, a simulated interactive scene is generated to provide a real interactive environment for the user, help the user better adapt to the interactive process, and reduce nervousness. A feedback report is generated to accurately evaluate the interactive performance of the user and point out the weak link, helping the user to clearly understand the improvement direction in the communication process. According to the weak link in the feedback report, targeted interactive training resources are provided to help the user improve communication skills. For the weak link of the user, targeted interactive training questions can also be generated, for example, for a user with insufficient logical thinking, a mathematical modeling question is pushed.

[0104] Optionally, for a job-seeking scene, the simulated interactive scene includes a simulated interview scene.

[0105] Optionally, the simulated interview scene is generated according to a predicted interview question, including: designing a simulated interview scene according to the predicted interview question, including a questioning manner of an interviewer, a question order, etc.; designing an interaction manner between the user and the scene so that the user can answer questions like in a real interview; and presenting the designed simulated interview scene to the user in the form of an interactive interface to provide a real interview experience.

[0106] Optionally, after the user simulates the communication according to the simulated interactive scenario, a feedback report is generated, including: using natural language processing technology to evaluate the quality of the user's answers, including content integrity, logic, relevance, etc.; by analyzing the user's answers, identifying weaknesses, such as incomplete answers, unclear logic, lack of specific examples, etc.; generating a feedback report based on the evaluation results, including total score, dimension score, weakness analysis, etc.

[0107] Optionally, interactive training resources are provided according to the communication weaknesses, including: establishing a library containing various interactive training resources, such as interactive skills articles, video tutorials, simulated communication topics, etc.; selecting relevant training resources from the resource library according to the weaknesses in the feedback report and recommending them to the user; generating personalized training plans based on the user's answers and score reports to help the user improve their communication skills.

[0108] Optionally, the method for adjusting personal information further comprises: obtaining the user's adjusted personal information; analyzing the adjustment effect according to the adjusted personal information, and generating adjustment suggestions again according to the adjustment effect.

[0109] In this embodiment, the user's adjusted personal information is obtained, and the adjustment effect is analyzed by generating a matching degree change curve of the personal information before and after adjustment, so as to dynamically evaluate the effect of personal information optimization and provide further adjustment suggestions, ensuring continuous improvement of personal information adjustment. By comparing the personal information before and after adjustment, accurate feedback can be provided to help the user understand which adjustments are effective and which need further optimization. For example, if the matching degree of a certain skill in the adjusted personal information is still low, it is recommended to further supplement the relevant description.

[0110] The method for adjusting personal information provided by the embodiments of the present disclosure can quickly obtain adjustment suggestions for personal information through automated personal information analysis, and can improve the optimization effect and efficiency of personal information by adjusting personal information according to the adjustment suggestions, so that the adjusted personal information has a higher degree of fit with the scene description. In addition, the invalid practice time can be reduced and the user's preparation efficiency can be improved according to the predicted communication topics.

[0111] In combination with Figure 6As shown, the apparatus 600 for adjusting personal information provided by the embodiments of the present disclosure includes a processor 601 and a memory 602. Optionally, the apparatus can further include a communication interface 603 and a bus 604. The processor 601, the communication interface 603 and the memory 602 can communicate with each other through the bus 604. The communication interface 603 can be used for information transmission. The processor 601 can invoke the logical instructions in the memory 602 to execute the method for adjusting personal information of the above-mentioned embodiments.

[0112] In addition, the logical instructions in the memory 602 described above can be realized in the form of a software functional unit and sold or used as an independent product, which can be stored in a computer readable storage medium.

[0113] The memory 602 as a computer readable storage medium can be used to store software programs, computer executable programs, such as program instructions / modules corresponding to the method in the embodiments of the present disclosure. The processor 601 executes the program instructions / modules stored in the memory 602, thereby performing functional applications and data processing, that is, realizing the method for adjusting personal information in the above-mentioned embodiments.

[0114] The memory 602 can include a program storage area and a data storage area. The program storage area can store an operating system and at least one application required by a function; the data storage area can store data created according to the use of the terminal device, etc. In addition, the memory 602 can include a high-speed random access memory and can further include a non-volatile memory.

[0115] The embodiments of the present disclosure provide an electronic device, which includes an electronic device body and the above-mentioned apparatus for adjusting personal information. The apparatus for adjusting personal information is installed on the electronic device body. The installation relationship described herein is not limited to placing in the electronic device, but also includes installation connection with other components of the electronic device, including but not limited to physical connection, electrical connection or signal transmission connection, etc. Those skilled in the art can understand that the apparatus for adjusting personal information can be adapted to a feasible electronic device body, and thus realize other feasible embodiments.

[0116] The embodiments of the present disclosure provide a computer readable storage medium, which stores computer executable instructions, and the computer executable instructions are set to execute the above-mentioned method for adjusting personal information.

[0117] The technical solutions of the embodiments of the present disclosure can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes one or more instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method disclosed in the embodiments of the present disclosure. The aforementioned storage medium can be a non-transitory storage medium, including: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0118] The above description and drawings sufficiently illustrate the embodiments of the present disclosure to enable one skilled in the art to practice them. Other embodiments can include structural, logical, electrical, process, and other changes. The embodiments represent only a few of the possible variations. Individual components and functions are optional unless explicitly required, and the order of operations can be changed. Parts and features of some embodiments can be included or replaced by parts and features of other embodiments. Also, the words used in this application are used only to describe the embodiments and not to limit the technical solutions described in this application. As used in the technical solutions described in this application, unless the context clearly indicates otherwise, the singular form "a", "an" and "the" are intended to include the plural form as well. Similarly, as used in this application, the term "and / or" refers to any and all possible combinations of one or more associated listed items. In addition, when used in this application, the term "comprise" and its variants "comprises" and / or "comprising" and the like refer to the presence of the stated features, integers, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups of these. Without more limitations, the element defined by the phrase "comprising a" does not exclude the presence of additional identical elements in the process, method, or device that includes the stated element. In this document, each embodiment focuses on the differences from other embodiments, and the same or similar parts between various embodiments can be referred to each other. For the method, product, etc. disclosed in the embodiments, if it corresponds to the method part disclosed in the embodiments, the relevant part can be referred to the description of the method part.

[0119] Those skilled in the art can understand that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. The skilled person can use different methods for each specific application to realize the described functions, but such implementation should not be considered beyond the scope of the embodiments of the present disclosure. The skilled person can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described system, device and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

[0120] In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the above-described device embodiments are only schematic, for example, the division of the units can only be a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms. The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to implement the embodiments. In addition, each functional unit in the embodiments of the present disclosure can be integrated in one processing unit, or each unit can be a physically independent unit, or two or more units can be integrated in one unit.

[0121] The computer program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other processing device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other processing device to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks.

Claims

1. A method for adjusting personal information, characterized by, The method comprises: obtaining personal information and a scenario description input by a user; analyzing a matching degree of the personal information and the scenario description according to the personal information and the scenario description, and determining an information adjustment direction according to the matching degree; simulating an analysis logic of an external perspective on the personal information based on the information adjustment direction, and generating an adjustment suggestion for the personal information; generating a proposal for adjusting the personal information according to the adjustment suggestion.

2. The method of claim 1, wherein, The method further comprises: extracting keywords from the scenario description; the keywords comprise one or more of skills, experience weights, and cultural labels; analyzing a keyword matching degree of the personal information and the scenario description based on each keyword, and analyzing a keyword score of content corresponding to each keyword according to the keyword matching degree of each keyword; determining the information adjustment direction according to all keyword scores.

3. The method of claim 1, wherein, The method further comprises: simulating the analysis logic of the external perspective, analyzing the personal information and the scenario description, and analyzing advantages and disadvantages of the personal information; the external perspective comprises one or more of an observer, a peer, and an experienced person; generating the adjustment suggestion for the personal information according to the advantages and disadvantages of the personal information.

4. The method of claim 1, wherein, The adjustment suggestion for the personal information comprises one or more of the following: supplementing missing keywords and / or strengthening keywords according to scenario requirements; weakening irrelevant experiences and / or highlighting relevant experiences; labeling personal information layout and format errors, and optimizing personal information structure; providing a personal information template reference.

5. The method of claim 1, wherein, The method further comprises: generating an adjustment example of the personal information according to the adjustment suggestion; generating the proposal in the form of a visual report according to the adjustment example.

6. The method according to any one of claims 1 to 5, characterized in that, The method further comprises: generating a predicted communication topic according to the personal information and the scenario description; generating a proposal for adjusting the personal information and interactive guidance according to the adjustment suggestion and the predicted communication topic.

7. The method of claim 6, wherein, The method further comprises: extracting scenario expectations from the scenario description, and extracting relevant information related to the scenario expectations from the personal information; generating the predicted communication topic based on a multi-dimensional interactive context according to the relevant information in the personal information.

8. The method of claim 6, wherein, The method further comprises: generating a simulated interactive scenario according to the predicted communication topic; generating a feedback report after the user performs simulated communication according to the simulated interactive scenario, and providing interactive training resources according to weak communication links.

9. An apparatus for adjusting personal information, comprising a processor and a memory having stored program instructions, characterized in that, The processor is configured to execute the method for adjusting personal information when the program instructions are run.

10. An electronic device, comprising: The device comprises: an electronic device body; the device for adjusting personal information according to claim 9 is installed in the electronic device body.