Ontology-based recommender system of TV programmes for personalisation service in smart TV

Many researches endeavour to solve the problem of information overload and deliver the preferred TV programme content to users. However, they have a weakness in the similarity computation of TV programmes for recommendation because they do not consider the knowledge structures of TV programme content. In this paper, we propose a similarity matching and recommendation method for TV programme content to reduce information overload. Our approach is composed of the three major tasks: 1 conceptualisation and construction of TV programme domain ontologies, 2 computation of the similarity of programme content based on domain ontologies and 3 user preference-based filtering and semantic score-based ranking of the recommendation list. To support semantic-based TV content searching and recommendation, we first design the semantic model of TV ontology and a conceptual process to transform the textual content descriptions of TV programmes to semantic maps. Subjective experiments confirm that the proposed method is effective in semantic-based searching and recommendation.

[1]  Fábio Santos da Silva,et al.  Personal TVware: An Infrastructure to Support the Context-Aware Recommendation for Personalized Digital TV , 2012 .

[2]  Barry Smyth,et al.  PTV: Intelligent Personalised TV Guides , 2000, AAAI/IAAI.

[3]  Hyunsook Chung,et al.  Broadcasting Program Search based on Ontology Search and Ranking Technique , 2012 .

[4]  Karsten Morisse,et al.  A user supporting personal video recorder by implementing a generic Bayesian classifier based recommendation system , 2011, 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

[5]  Hyunsook Chung,et al.  TV Program Searching and Ranking for Supporting TV Personalization , 2013 .

[6]  Kamal Ali,et al.  TiVo: making show recommendations using a distributed collaborative filtering architecture , 2004, KDD.

[7]  Liang-Jie Zhang,et al.  The development and prospect of personalized TV program recommendation systems , 2002, Fourth International Symposium on Multimedia Software Engineering, 2002. Proceedings..

[8]  Jinwoo Hong,et al.  Ontology-based multimedia contents retrieval framework in smart TV environment , 2013, 2013 15th International Conference on Advanced Communications Technology (ICACT).

[9]  David Taniar,et al.  Ontology as a Service (OaaS): a case for sub-ontology merging on the cloud , 2011, The Journal of Supercomputing.

[10]  David Taniar,et al.  Ontology expansion: appending with extracted sub-ontology , 2011, Log. J. IGPL.

[11]  José Luis Redondo García,et al.  Ontotv: an Ontology-Based System for the Management of Information about Television Contents , 2012, Int. J. Semantic Comput..

[12]  Chrisa Tsinaraki,et al.  An Ontology-Driven Framework for the Management of Semantic Metadata Describing Audiovisual Information , 2003, CAiSE.

[13]  Jorge García Duque,et al.  Exploiting synergies between semantic reasoning and personalization strategies in intelligent recommender systems: A case study , 2008, J. Syst. Softw..

[14]  Jin-Woo Jeong,et al.  Ontology-based automatic video annotation technique in smart TV environment , 2011, IEEE Transactions on Consumer Electronics.

[15]  Shinjee Pyo,et al.  An Automatic Recommendation Scheme of TV Program Contents for (IP)TV Personalization , 2011, IEEE Transactions on Broadcasting.

[16]  Shibao Zheng,et al.  Personalized TV program recommendation based on TV-anytime metadata , 2005, Proceedings of the Ninth International Symposium on Consumer Electronics, 2005. (ISCE 2005)..

[17]  Chrisa Tsinaraki,et al.  Ontology-Based Semantic Indexing for MPEG-7 and TV-Anytime Audiovisual Content , 2005, Multimedia Tools and Applications.