A data processing method, device, apparatus, and storage medium
By determining whether the business search text contains keywords that trigger related searches in the computer device, and randomly recommending related search text under user operation, the problem of duplicate recommendations in traditional recommendation methods is solved, thereby improving the search volume of search text and user experience.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-11-22
- Publication Date
- 2026-03-24
AI Technical Summary
In traditional question-and-answer recommendation scenarios, the search text recommendation method based on popularity parameters leads to duplicate recommendations, which reduces the search volume of the search text.
After the business search text is output to the computer device, it is determined whether it contains business keywords that trigger related searches. If it does, the business keywords and auxiliary words are output in the second area, and related search text is randomly recommended in response to user operation, so as to realize the randomness of text recommendation.
It increased the search volume of search texts and, through user-initiated interactive modes, increased the probability of knowledge exposure and the diversity of search texts.
Smart Images

Figure CN116150196B_ABST