A data processing method and device, electronic equipment and storage medium
By acquiring and analyzing behavioral data from social media-related accounts, we can determine their preference types and growth potential, thus solving the problem of inaccurate fan profiling in existing technologies and enabling in-depth fan mining and effective operation and management.
CN116304365BActive Publication Date: 2026-07-24BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
- Filing Date
- 2023-02-13
- Publication Date
- 2026-07-24
AI Technical Summary
Technical Problem
Current technologies only include basic information in fan profiles, which cannot help creators discover potential fans or conduct effective operation and management.
Method used
By acquiring social behavior data from the target account's socially related accounts, we determine its preference type and calculate its growth potential value based on the social behavior data of other accounts with similar purposes, which is then added to the profile data.
Benefits of technology
It helps target accounts understand the status of their associated social media accounts, identify potential fans, and achieve effective operation and management.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN116304365B_ABST
Abstract
The present disclosure relates to a data processing method and device, electronic equipment and storage medium. The method comprises: obtaining a set of social association accounts of a target account on an interaction platform; obtaining first social behavior data of the social association accounts on the target account within a target time period, and second social behavior data of the social association accounts on other accounts of the same type as the target account on the interaction platform; determining, for the target account, a first number of social association accounts corresponding to each first preference type; and determining, for the other accounts, a second number of social association accounts corresponding to each second preference type; and determining, according to the difference between the first number and the second number corresponding to the same preference type and a pre-set reference value, a growth potential value of the social association accounts corresponding to the preference type. The present disclosure can help the target account to mine potential social association accounts, and help the target account to form effective operation and management based on portrait data.
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