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CN-122021661-A - Behavior analysis method, apparatus, computing device, storage medium, and program product

CN122021661ACN 122021661 ACN122021661 ACN 122021661ACN-122021661-A

Abstract

The embodiment of the specification provides a behavior analysis method, a device, a computing device, a storage medium and a program product, wherein the behavior analysis method comprises the steps of obtaining a prompt text corresponding to a target scene dimension based on the target scene dimension of behavior analysis, wherein the prompt text comprises an associated field of behavior to be analyzed in the target scene dimension, searching user behavior data corresponding to the associated field from a target database based on the associated field, inputting the prompt text and the user behavior data into a behavior analysis model to generate an analysis result for the behavior to be analyzed, so that the behavior analysis is not limited to single behavior of a single object any more, but can extract relevant behavior data from a library through field information to analyze together, the utilization efficiency of massive behavior data is improved, the behavior analysis is more comprehensive and deep, and the behavior analysis method can be widely applied to the technology of digital culture product manufacturing software in the digital creative industry.

Inventors

  • Luo Huanyang

Assignees

  • 珠海金山数字网络科技有限公司
  • 珠海西山居数字科技有限公司

Dates

Publication Date
20260512
Application Date
20260211

Claims (13)

  1. 1. A method of behavioral analysis comprising: acquiring a prompt text corresponding to a target scene dimension based on the target scene dimension of behavior analysis, wherein the prompt text comprises an associated field of a behavior to be analyzed in the target scene dimension; Searching user behavior data corresponding to the associated field from a target database based on the associated field; and inputting the prompt text and the user behavior data into a behavior analysis model to generate an analysis result aiming at the behavior to be analyzed.
  2. 2. The method of claim 1, wherein the association field comprises an associated user field and an associated behavior field; based on the associated field, searching user behavior data corresponding to the associated field from a target database, wherein the user behavior data comprises: searching target user data corresponding to the associated user field from the target database based on the associated user field, and Searching target behavior data corresponding to the associated behavior field from the target database based on the associated behavior field; inputting the prompt text and the user behavior data into a behavior analysis model to generate an analysis result aiming at the behavior to be analyzed, wherein the analysis result comprises the following steps: Inputting the prompt text, the target user data and the target behavior data into a behavior analysis model; And in the behavior analysis model, analyzing the target behavior data, generating a behavior analysis result aiming at the target behavior data, and generating an analysis result aiming at the behavior to be analyzed based on the target user data and the behavior analysis result.
  3. 3. The method according to claim 2, wherein before searching the user behavior data corresponding to the associated field from the target database based on the associated field, the method further comprises: acquiring an original user behavior log; extracting user data and initial behavior data from the original user behavior log based on a field extraction mode, wherein the user data and the initial behavior data are semi-structured data; Vectorizing the initial behavior data to obtain behavior data represented by vectorization; And storing the behavior data and the user data to the target database.
  4. 4. The method of claim 3, wherein the searching the target behavior data corresponding to the association field from the target database based on the association field comprises: determining corresponding association behavior data of the association field based on the association field; And searching behavior data which are close to the associated behavior data in a vector space from the target database based on the associated behavior data and the position relation of the behavior data in the target database in the vector space, and determining the behavior data as target behavior data.
  5. 5. A method according to claim 3, wherein the extracting user data and initial behavior data from the original user behavior log based on the field extraction method comprises: Carrying out structuring treatment on the original user behavior log to obtain a semi-structured user behavior log; And extracting the user data and the initial behavior data from the user behavior log based on a field extraction mode.
  6. 6. The method of claim 5, wherein the structuring the original user behavior log to obtain a semi-structured user behavior log comprises: Based on preset business logic and preset format information, adjusting an abnormal field of the original user behavior log to obtain an adjusted original user behavior log, wherein the abnormal field comprises an error field, a missing field and a repeated field; Performing structural splitting and data analysis on the adjusted original user behavior log, and determining field information contained in the original user behavior log; And integrating and correcting the field information based on a preset field naming rule to obtain a semi-structured user behavior log.
  7. 7. The method according to claim 1, wherein the obtaining, based on the target scene dimension of the behavior analysis, the prompt text corresponding to the target scene dimension includes: Acquiring a target scene corresponding to the behavior to be analyzed; matching the corresponding target scene dimension for the target scene, and obtaining a prompt text corresponding to the target scene dimension, wherein the target scene dimension is determined based on the processing type and the processing time of the target scene.
  8. 8. A behavior analysis method, applied to a behavior analysis platform, the method comprising: Displaying an initial dialogue interface, wherein the initial dialogue interface comprises target dialogue content, and the target dialogue content is used for guiding a user to input relevant information of a behavior to be analyzed; Determining a target scene dimension corresponding to the behavior to be analyzed in response to the input operation of the related information, and obtaining a prompt text corresponding to the target scene dimension based on the target scene dimension of the behavior analysis, wherein the prompt text comprises an associated field of the behavior to be analyzed in the target scene dimension; And inputting the prompt text and the user behavior data into a behavior analysis model to generate an analysis result aiming at the behavior to be analyzed, and displaying the analysis result to a user.
  9. 9. A behavior analysis device, comprising: the system comprises an acquisition module, a judgment module and a judgment module, wherein the acquisition module is configured to acquire a prompt text corresponding to a target scene dimension based on the target scene dimension of behavior analysis, and the prompt text comprises an associated field of behavior to be analyzed in the target scene dimension; The searching module is configured to search the user behavior data corresponding to the associated field from a target database based on the associated field; the generation module is configured to input the prompt text and the user behavior data into a behavior analysis model and generate an analysis result aiming at the behavior to be analyzed.
  10. 10. A behavior analysis device applied to a behavior analysis platform, comprising: The system comprises a first display module, a second display module and a first display module, wherein the first display module is configured to display an initial dialogue interface, and the initial dialogue interface comprises target dialogue content which is used for guiding a user to input relevant information of a behavior to be analyzed; the determining module is configured to respond to the input operation of the related information, determine a target scene dimension corresponding to the behavior to be analyzed, and obtain a prompt text corresponding to the target scene dimension based on the target scene dimension of behavior analysis, wherein the prompt text comprises an associated field of the behavior to be analyzed in the target scene dimension; The second display module is configured to search the user behavior data corresponding to the associated field from a target database based on the associated field, input the prompt text and the user behavior data into a behavior analysis model, generate an analysis result aiming at the behavior to be analyzed, and display the analysis result to a user.
  11. 11. A computing device, comprising: A memory and a processor; The memory is configured to store computer executable instructions, the processor being configured to execute the computer executable instructions, which when executed by the processor, implement the steps of the behavior analysis method of any one of claims 1-8.
  12. 12. A computer readable storage medium, characterized in that it stores computer executable instructions which, when executed by a processor, implement the steps of the behavior analysis method of any one of claims 1-8.
  13. 13. A computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the behaviour analysis method as claimed in any one of claims 1 to 8.

Description

Behavior analysis method, apparatus, computing device, storage medium, and program product Technical Field The embodiment of the specification relates to the technical field of digital cultural product manufacturing software, in particular to a behavior analysis method, a behavior analysis device, a behavior analysis computing device, a behavior analysis storage medium and a behavior analysis program product. Background In the development process of digital cultural product making software in the field of digital creative industry, the behaviors of an object are generally extracted and analyzed, and the use condition of an inefficient, high-frequency, difficult or unexpected operation mode of the object in the use process of the product can be identified by analyzing the behavior data of the object, so that the object can be reminded or the defect that the existing product needs to be optimized can be found based on the use condition. In the prior art, when the conventional behavior analysis method faces massive unstructured object behavior data, the behavior cannot be analyzed by using the massive data in a high-efficiency manner, and the analysis dimension is limited to the operation of single behavior of a single object, so that the analysis efficiency is low and the analysis result is not comprehensive and deep enough. Disclosure of Invention In view of this, the present embodiments provide a behavior analysis method. One or more embodiments of the present specification also relate to a behavior analysis apparatus, a computing device, a computer-readable storage medium, and a computer program product that address the technical shortcomings of the prior art. According to a first aspect of embodiments of the present specification, there is provided a behavior analysis method, including: Acquiring a prompt text corresponding to the target scene dimension based on the target scene dimension of the behavior analysis, wherein the prompt text comprises an associated field of the behavior to be analyzed in the target scene dimension; Searching user behavior data corresponding to the associated field from the target database based on the associated field; inputting the prompt text and the user behavior data into a behavior analysis model to generate an analysis result aiming at the behavior to be analyzed. According to a second aspect of embodiments of the present specification, there is provided a behavior analysis apparatus comprising: the acquisition module is configured to acquire a prompt text corresponding to the target scene dimension based on the target scene dimension of the behavior analysis, wherein the prompt text comprises an associated field of the behavior to be analyzed in the target scene dimension; the searching module is configured to search the user behavior data corresponding to the associated field from the target database based on the associated field; The generation module is configured to input the prompt text and the user behavior data into the behavior analysis model and generate an analysis result aiming at the behavior to be analyzed. According to a third aspect of embodiments of the present specification, there is provided a behavior analysis method applied to a behavior analysis platform, including: Displaying an initial dialogue interface, wherein the initial dialogue interface comprises target dialogue content, and the target dialogue content is used for guiding a user to input relevant information of a behavior to be analyzed; responding to input operation of related information, determining a target scene dimension corresponding to the behavior to be analyzed, and obtaining a prompt text corresponding to the target scene dimension based on the target scene dimension of the behavior analysis, wherein the prompt text comprises an associated field of the behavior to be analyzed in the target scene dimension; And inputting the prompt text and the user behavior data into a behavior analysis model to generate an analysis result aiming at the behavior to be analyzed, and displaying the analysis result to the user. According to a fourth aspect of embodiments of the present specification, there is provided a behavior analysis apparatus applied to a behavior analysis platform, including: the first display module is configured to display an initial dialogue interface, wherein the initial dialogue interface comprises target dialogue content, and the target dialogue content is used for guiding a user to input relevant information of a behavior to be analyzed; The determining module is configured to respond to input operation of related information, determine a target scene dimension corresponding to the behavior to be analyzed, and obtain a prompt text corresponding to the target scene dimension based on the target scene dimension of the behavior analysis, wherein the prompt text comprises associated fields of the behavior to be analyzed in the target scene dimension; the second display mod