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.
private recommendation user social preference model interactive television social networks on-line video ontology user behavior
Meng Chen Cheng Yang
Information Engineering School Communication University of China Beijing, China
国际会议
南昌
英文
620-623
2012-08-26（万方平台首次上网日期，不代表论文的发表时间）