Personality characteristic prediction method and system based on network behaviors
A prediction method and behavioral technology, applied in the field of crowd intelligence science, can solve the problems of not considering the influence of personality traits on behavior time and timing, and can not realize automatic prediction of personality traits, so as to save human resource costs and reduce inaccurate personality prediction Effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0035] In one or more embodiments, a method for predicting personality traits based on network behavior is disclosed, comprising the following steps:
[0036] (1) Obtain user behavior data;
[0037] (2) Mark the personality traits of the above-mentioned users;
[0038] (3) Perform data preprocessing and feature extraction on the acquired data;
[0039] (4) According to the chronological order of occurrence, data integration is performed on the data features extracted within the set time period to form behavioral vector features that include temporal relationships;
[0040] (5) Correspond the user's behavior vector features with the labeled personality traits, input the corresponding data into the long-term short-term memory model for prediction, and output the prediction results of personality traits. Among them, the corresponding data refers to the vector formed by connecting the user behavior feature vector and its personality trait score, such as the corresponding vector ...
Embodiment 2
[0099]In one or more implementations, a system for predicting personality traits based on network behavior is disclosed, including:
[0100] A module for obtaining user behavior data;
[0101] A module for labeling the personality traits of the above-mentioned users;
[0102] A module for data preprocessing and feature extraction of acquired data;
[0103] It is used to integrate the data features extracted within the set time period according to the time sequence of occurrence, and form a module of behavior vector features including time series relationship;
[0104] It is used to correspond the user's behavior vector features with the marked personality traits, and input the corresponding data (the vector formed by connecting the user behavior feature vector with its personality trait scores) to the long-term and short-term memory model for prediction, and output the prediction results of personality traits module.
Embodiment 3
[0106] In one or more embodiments, a terminal device is disclosed, which includes a processor and a computer-readable storage medium, the processor is used to implement instructions; the computer-readable storage medium is used to store multiple instructions, and the instructions are suitable for The method for predicting personality traits based on network behavior described in Embodiment 1 is loaded and executed by the processor. For the sake of brevity, details are not repeated here.
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com