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

Abstract

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.