Recommendation recall method and device based on multi-interaction space network, medium and product

By obtaining interactive data of users within different lengths, generating multiple graph networks, combining social relationship data, interactive data and guild data, the problem of insufficient generalization ability of recommendation results in the existing technology is solved, more accurate user interest recommendations are achieved, and user experience and retention rates are improved.

CN119691285AActive Publication Date: 2025-03-25SHANGHAI JIAMIAN TECH INFORMATION SERVICE CO LTD
4 Cites 0 Cited by

Patent Information

Application Number
CN202510208177.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-25
Publication Date
2025-03-25
Estimated Expiration
2045-02-25

AI Technical Summary

Technical Problem

When recommending interactive space applications, it is difficult to deeply explore the user's complex and variable real interests, resulting in insufficient generalization ability of recommendation results, and users are prone to falling into the interest cocoon, affecting user experience and retention rate.

Method used

By obtaining the interaction data of users within different lengths, multiple graph networks are generated, and combining social relationship data, interaction data and guild data, the interaction space of users is of interest to improve the accuracy of recommendations.

Benefits of technology

It realizes the interactive space that users are interested in more accurately, improves the generalization ability of the recommendation system, reduces the risk of users falling into the interest cocoon, and improves user experience and retention rates.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention relates to the technical field of computers, and discloses a network recommendation recall method and device based on multiple interactive spaces, a medium and a product. In the method, under the condition that a first user operation of a first user is detected at a first moment, the electronic equipment can respond to the first user operation to obtain first interaction data within a first duration and second interaction data within a second duration. And then, the electronic equipment can determine a plurality of interaction spaces, namely interaction spaces interested by the first user, according to the first interaction data and the second interaction data. In this way, by obtaining different interaction data within different time lengths, the accuracy of recommending the interaction space can be improved.
Need to check novelty before this filing date? Find Prior Art