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

被引：2

作者：

Chen, Meng ^{[1
]}

Yang, Cheng ^{[1
]}

机构：

[1] Commun Univ China, Informat Engn Sch, Beijing, Peoples R China

来源：

2012 4TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL 2 | 2012年

关键词：

private recommendation; user social preference model; interactive television; social networks; on-line video ontology; user behavior;

D O I：

10.1109/IHMSC.2012.158

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：260 / 263

页数：4