A search result ranking method and device, a computer device and a storage medium

By acquiring and analyzing the text attributes, feature dimensions, and source information of search results, and combining them with click-through rate and intent prediction models, the problem of unreasonable ranking of multi-genre search results has been solved, achieving more accurate and reasonable ranking and improving user experience and usage rate.

CN116578725BActive Publication Date: 2026-05-29BEIJING ZITIAO NETWORK TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING ZITIAO NETWORK TECH CO LTD
Filing Date
2023-05-15
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In existing technologies, the ranking methods for search results have poor rationality, which affects the usage rate of search results and user experience. In particular, in search results of various genres, the neglect of the correlation between result documents leads to inaccurate determination of click-through rates.

Method used

By acquiring text attribute information of search results, dimensional information under multiple preset feature dimensions, and source information of search terms, and combining click-through rate prediction model and intent prediction model, the document features and association features of the result documents are determined, and these features are used for multi-angle ranking optimization.

Benefits of technology

It improved the rationality and accuracy of search result ranking, enhanced user experience, and increased the usage rate of search results.

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Abstract

The present disclosure provides a search result sorting method and device, computer equipment and a storage medium, wherein the method comprises: obtaining search results matched with a search term, the search results comprising first results of a first genre and at least one second result of a second genre other than the first genre; the second result comprising at least one result document; for any result document in the second result, determining a document feature corresponding to the result document according to text attribute information of the result document, dimension information of the result document in a plurality of preset characteristic dimensions, the search term and source information of the search term; determining a document association feature corresponding to the second result according to the document feature of each result document in the second result; and sorting the first results and the second results according to the document association feature of each second result and a result click rate of each first result.
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