推荐内容的补充投放方法、装置、电子设备及存储介质
By calculating the playback elasticity information of recommended topics and optimizing the supplementary delivery volume, the problem of the imbalance between content supply and demand on the recommendation platform was solved, thereby improving user experience and system traffic.
CN118714376BActive Publication Date: 2026-07-17TENCENT TECHNOLOGY (SHENZHEN) CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TENCENT TECHNOLOGY (SHENZHEN) CO LTD
- Filing Date
- 2023-03-27
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing recommendation platforms are inefficient in balancing content supply and demand, resulting in recommended content that does not match user interests, leading to a poor user experience and low returns.
Method used
By obtaining the first delivery index value set of multiple recommended topics for various object clusters, calculating playback elasticity information, determining the objective function and constraints, and optimizing the supplementary delivery volume of recommended topics, the optimal solution for the total increase in playback duration and playback effect can be achieved.
Benefits of technology
It improved the playback coverage and flexibility of recommended content, thereby increasing the traffic and user experience of the recommendation system.
✦ Generated by Eureka AI based on patent content.
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Figure CN118714376B_ABST
Abstract
本申请实施例提供了一种推荐内容的补充投放方法、装置、电子设备及计算机可读存储介质，涉及数据处理领域。该方法包括：获得多个推荐主题各自的第一投放指标值集；对于每个推荐主题的每个第一投放指标值集，根据所述第一投放指标值集获得关联的播放弹性信息；确定目标函数、播放时长目标总增量以及所述多个推荐主题各自的第二投放指标值集；根据所述播放时长目标总增量、各推荐主题的第二投放指标值集以及播放弹性信息，确定出所述第一整体投放指标在所述约束条件下达到最优解时，各推荐主题的补充投放量。本申请实施例从播放弹性信息的角度，对对象覆盖度高且播放弹性高的推荐内容更多的补货，有助于为推荐系统带来更高的流量。
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