交互式数字电视中基于用户社会偏好模型和在线视频本体的私人推荐系统

2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2012-08-26 DOI:10.1109/IHMSC.2012.158

Meng Chen, Cheng Yang

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引用次数: 4

摘要

针对交互式数字电视中的“信息雾”问题，提出了一种基于用户社会偏好模型和在线视频本体的私人推荐系统。通过分析程序本体分层特征、用户行为和用户社会网络关系，建立用户偏好模型。因此，该技术首创了基于个人偏好的个性化节目推荐和个性化在线视频搜索结果呈现。最后通过仿真系统测试验证了所提出方案的可行性。

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Private Recommendation System Based on User Social Preference Model and Online-video Ontology in Interactive Digital TV

The paper presents a private recommendation system based on user social preference model and online video ontology for the "information fog" problem in interactive digital television. User preference model was established by analyzing program ontological stratification characteristics, user behavior and user social network relationships. Thus the technology initiative personalized program recommended and personalized presents of online video search results based on individual preference. Finally, the simulation system test to verify this proposed program is feasible.

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来源期刊

2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics

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