Title :
Private Recommendation System Based on User Social Preference Model and Online-video Ontology in Interactive Digital TV
Author :
Chen, Meng ; Yang, Cheng
Author_Institution :
Inf. Eng. Sch., Commun. Univ. of China, Beijing, China
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.
Keywords :
digital television; interactive television; ontologies (artificial intelligence); recommender systems; search engines; social networking (online); individual preference; information fog problem; interactive digital TV; interactive digital television; online video ontology; online video search results; private recommendation system; program ontological stratification characteristics; technology initiative personalized program; user behavior; user social network relationships; user social preference model; Algorithm design and analysis; Analytical models; Collaboration; Films; Filtering algorithms; Ontologies; TV; interactive television; on-line video ontology; private recommendation; social networks; user behavior; user social preference model;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
Conference_Location :
Nanchang, Jiangxi
Print_ISBN :
978-1-4673-1902-7
DOI :
10.1109/IHMSC.2012.158
