一种基于实时数据分析和反馈的直播互动推荐系统

The live streaming interactive recommendation system, which utilizes real-time data analysis and feedback, solves the problem of insufficient information on live streaming audience behavior. By using item preference and price analysis modules to generate interactive auxiliary elements, it improves the flexibility and accuracy of live streaming interaction and meets the needs of different users.

CN119450122BActive Publication Date: 2026-07-17JIDAN INTERACTIVE ENTERTAINMENT (WUHAN) TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JIDAN INTERACTIVE ENTERTAINMENT (WUHAN) TECH CO LTD
Filing Date
2024-11-08
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies struggle to accurately analyze user behavior to support interactive recommendations, especially for new users and smaller streamers, where the cold start problem is particularly prominent.

Method used

A live interactive recommendation system based on real-time data analysis and feedback is adopted, including an item preference analysis module, a price preference analysis module, a live streaming assistance module, and a feedback optimization module. By obtaining users' real-time browsing history and the relative purchase coefficient of preferred items, live interactive assistance elements are generated, and the relative purchase coefficient is adjusted according to the transaction situation.

Benefits of technology

It improves the flexibility and real-time nature of data analysis during live streaming, enabling real-time interaction with the streamer before users enter the live stream room. It solves the problem of insufficient audience behavior information and improves the accuracy of user analysis and the effectiveness of interactive recommendations.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明涉及大数据直播技术领域,尤其涉及一种基于实时数据分析和反馈的直播互动推荐系统,包括物品偏好分析模块、价格偏好分析模块、直播辅助模块以及反馈优化模块,相比于现有技术,本发明中偏好物品表示用户当前期望购买的物品种类,相对购买系数表示用户可以接受的价格比例,并且可以随着每次直播的反馈不断迭代更新,通过对上述两种数据的提前分析,使得用户在进入直播间时,系统可以直接建立用于辅助主播互动的直播互动辅助元素,而无需再等待用户进行有关操作,极大地提高了直播时数据分析的灵活性和实时性,解决了现有技术中在直播观众行为信息较少的情况下,无法进行准确的用户分析以辅助直播的直播互动推荐系统的问题。
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