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CN-121979594-A - Business interface generation method, system, electronic equipment and storage medium

CN121979594ACN 121979594 ACN121979594 ACN 121979594ACN-121979594-A

Abstract

The application relates to the technical field of data analysis and discloses a business interface generation method, a business interface generation system, electronic equipment and a storage medium. The method comprises the steps of obtaining portrait data of a user, extracting information from a data source based on the portrait data and carrying out information aggregation to obtain a service information set of the user, carrying out information priority scoring on each service information in the service information set based on the portrait data to obtain a priority scoring result, sorting each service information in the service information set based on the priority scoring result to obtain a service information list, and generating a service interface based on the service information list. By the method, each service information can be actively and intelligently ordered according to the portrait data of the user, so that an intelligent and personalized service information list is displayed in a service interface, and the operation efficiency of the user is improved.

Inventors

  • YANG HAI

Assignees

  • 北京千丁智能技术有限公司

Dates

Publication Date
20260505
Application Date
20251202

Claims (10)

  1. 1. A business interface generation method, the method comprising: acquiring portrait data of a user; Based on the portrait data, extracting information from a data source and carrying out information aggregation to obtain a service information set of the user; based on the portrait data, carrying out information priority scoring on each service information in the service information set to obtain a priority scoring result; Based on the priority grading result, sequencing each service information in the service information set to obtain a service information list; And generating a service interface based on the service information list.
  2. 2. The method of claim 1, wherein the representation data comprises a personalized preference model, wherein the scoring the information priority of each business information in the set of business information based on the representation data to obtain a priority scoring result comprises: And carrying out importance priority grading and/or emergency priority grading on each business information in the business information set by utilizing the personalized preference model to obtain the priority grading result.
  3. 3. The method of claim 2, wherein the representation data further comprises historical operational behavior data, wherein the scoring the importance priority and/or the urgency priority of each of the set of business information to obtain the priority scoring result comprises: According to a user instruction rule, carrying out importance priority scoring on each piece of business information in the business information set to obtain an explicit preference score; based on the historical operation behavior data, carrying out importance priority scoring on each piece of business information in the business information set to obtain implicit preference scoring; based on the context information of the preset time node, carrying out emergency priority grading on each service information in the service information set to obtain the context information priority grading; and obtaining the priority scoring result based on the explicit preference score, the implicit preference score and the context information priority score.
  4. 4. A method according to claim 2 or 3, characterized in that the method further comprises: analyzing the natural language input instruction of the user to obtain user intention information and key entity information; Based on the user intention information and the key entity information, updating parameters of the personalized preference model so as to obtain the priority grading result again based on the updated personalized preference model.
  5. 5. The method of claim 4, wherein updating parameters of the personalized preference model based on the user intent information and the key entity information comprises: acquiring real-time interaction behavior data of the user and the service interface; And after a preset fine tuning time period, carrying out fine tuning on parameters of the personalized preference model based on the real-time interaction behavior data.
  6. 6. The method of claim 1, wherein generating a business interface based on the list of business information comprises: based on natural language instructions, the service information is disassembled to obtain a plurality of sub-service information; and adding the plurality of sub-service information into the service information list in sequence to generate the service interface.
  7. 7. The method of claim 1, wherein generating a business interface based on the list of business information comprises: processing each business information in the business information list to obtain a plurality of interface elements; rendering and displaying a plurality of interface elements in the form of an information waterfall stream.
  8. 8. A business interface generation system, the system comprising: The acquisition module is used for acquiring portrait data of a user; The information processing module is used for extracting information from a data source based on the portrait data and carrying out information aggregation to obtain a service information set of the user; The priority scoring module is used for scoring the information priority of each business information in the business information set based on the portrait data to obtain a priority scoring result; The sorting module is used for sorting each service information in the service information set based on the information priority grading result to obtain a service information list; And the generating module is used for generating a service interface based on the service information list.
  9. 9. An electronic device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1-7 when the computer program is executed.
  10. 10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1-7.

Description

Business interface generation method, system, electronic equipment and storage medium Technical Field The present application relates to the field of data analysis technologies, and in particular, to a service interface generating method, a system, an electronic device, and a storage medium. Background In enterprise-level software applications, the workbench interface seen after a user logs in the application is a core hub for information collection and task navigation, and the traditional interface design enables the user to customize the information content displayed by the interface and the arrangement position of the information very limitedly, so that the working efficiency of the user and the use experience of software are affected. Disclosure of Invention Embodiments of the present application aim to solve, at least to some extent, one of the technical problems in the related art. For this reason, the embodiment of the application provides a business interface generation method, a business interface generation system, electronic equipment and a storage medium. The embodiment of the application provides a service interface generation method, which comprises the steps of obtaining portrait data of a user, extracting information from a data source and carrying out information aggregation based on the portrait data to obtain a service information set of the user, carrying out information priority scoring on each service information in the service information set based on the portrait data to obtain a priority scoring result, sorting each service information in the service information set based on the priority scoring result to obtain a service information list, and generating a service interface based on the service information list. In some embodiments, the portrait data comprises a personalized preference model, and the information priority scoring is performed on each business information in the business information set based on the portrait data to obtain a priority scoring result, wherein the personalized preference model is utilized to perform importance priority scoring and/or emergency priority scoring on each business information in the business information set to obtain a priority scoring result. In some embodiments, the portrait data further comprises historical operation behavior data, importance priority grading and/or emergency priority grading are carried out on each business information in the business information set to obtain a priority grading result, the method comprises the steps of carrying out importance priority grading on each business information in the business information set according to a user instruction rule to obtain an explicit preference grading, carrying out importance priority grading on each business information in the business information set based on the historical operation behavior data to obtain an implicit preference grading, carrying out emergency priority grading on each business information in the business information set based on context information of a preset time node to obtain a context information priority grading, and obtaining a priority grading result based on the explicit preference grading, the implicit preference grading and the context information priority grading. In some embodiments, the method further comprises analyzing the natural language input instruction of the user to obtain user intention information and key entity information, and updating parameters of the personalized preference model based on the user intention information and the key entity information so as to retrieve the priority scoring result based on the updated personalized preference model. In some embodiments, updating parameters of the personalized preference model based on the user intent information and the key entity information comprises obtaining real-time interaction behavior data of the user and the business interface, and performing fine adjustment on the parameters of the personalized preference model based on the real-time interaction behavior data after a preset fine adjustment time period. In some embodiments, generating the business interface based on the business information list comprises decomposing the business information based on the natural language instruction to obtain a plurality of sub-business information, and sequentially adding the plurality of sub-business information to the business information list to generate the business interface. In some embodiments, generating a business interface based on a business information list includes processing each business information in the business information list to obtain a plurality of interface elements, and rendering and displaying the plurality of interface elements in the form of an information waterfall stream. The embodiment of the application provides a service interface generation system, which comprises an acquisition module, an information processing module, a priority grading module, a rankin