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

Volume

2

fYear

2012

fDate

26-27 Aug. 2012

Firstpage

260

Lastpage

263

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IHMSC.2012.158

Filename

6305772