A search word recommendation method and device, electronic equipment and storage medium

By acquiring the part of speech and similarity of user-input search terms, and combining user preferences and popularity information, related search terms are recommended, which solves the problem of the limitations of search term recommendation in existing technologies and improves the richness and experience of information acquisition for users.

CN116304312BActive Publication Date: 2026-06-09BEIJING TAOYOUTIANXIA TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING TAOYOUTIANXIA TECH CO LTD
Filing Date
2023-02-13
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing search engines are too limited to including the input search term field when recommending search terms, resulting in limited content for users and a poor user experience.

Method used

By obtaining the part of speech of the first search term entered by the user, and using the historical search terms stored in the preset database, the system recommends a second search term that is the same or similar to the part of speech, and selects a third search term as the recommended search term. The system considers factors such as similarity, user preference score and current popularity information for sorting and recommendation.

Benefits of technology

It expands the range of information users can access, enabling them to obtain more information related to their search terms and improving the user experience.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application provides a search term recommendation method, apparatus, electronic device, and storage medium, relating to the field of computer technology. The method includes: acquiring a first search term input by a user, and acquiring at least one corresponding second search term based on the word category of the first search term; for each second search term, acquiring at least one historical search term containing a second search term field from a preset database as a third search term; and acquiring recommended search terms based on the third search terms corresponding to each second search term and recommending them to the user. By acquiring the user-input search term, and based on the similarity between each search term in the preset database and the user-input search term, corresponding recommended search terms are acquired and recommended to the user. The acquired other search terms may or may not include the user-input search term field, facilitating the user to obtain more information related to the input search term.
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