Profile Generation from TV Watching Behavior Using Sentiment Analysis
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Receiver-side semantic reasoning for digital TV personalization in the absence of return channels
Multimedia Tools and Applications
Context aware recommendations for user-generated content on a social network site
Proceedings of the seventh european conference on European interactive television conference
Automatic Generation of Mashups for Personalized Commerce in Digital TV by Semantic Reasoning
EC-Web 2009 Proceedings of the 10th International Conference on E-Commerce and Web Technologies
Unifying and targeting cultural activities via events modelling and profiling
EiMM '09 Proceedings of the 1st ACM international workshop on Events in multimedia
A personalized TV guide system: an approach to interactive digital television
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Taking advantage of contextualized interactions while users watch TV
Multimedia Tools and Applications
A personalized TV guide system compliant with Ginga
WebMedia '09 Proceedings of the XV Brazilian Symposium on Multimedia and the Web
Expert Systems with Applications: An International Journal
Investigating the influence of QoS on personal evaluation behaviour in a mobile context
Multimedia Tools and Applications
ACM Transactions on Interactive Intelligent Systems (TiiS)
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With the expansion of TV channels in digital era, viewers are exposed to information overload. Consequently, personalized guide systems are necessary to automatically customize program listings as well as to enable viewers to navigate and search programs. This paper proposes a personalized TV system running on standalone set-top box (STB) compliant with multimedia home platform (MHP) model. Besides the traditional functions, such as program navigation and search, this system is characterized by recommending program with high preferences on strategies of explicit and implicit feedback. Aiming at low end STB platform, we have deployed the personalized system in the MHP-compliant solution based on enhanced broadcasting profile. This paper also presents the implementing details and optimized strategies involved in information retrieving and program recommending. The experimental result shows that the proposed system presents a good performance.