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papers > dai03
Weizhen Dai and Robin Cohen (2003).
Content Augmentation Aspects of Personalized Entertainment Experience.
3rd Workshop on Personalization in Future TV pp..
http://www.di.unito.it/~liliana/TV03/FINAL/dai.pdf
Abstract
Personalized TV models based on user modeling are the development direction of todays TV system. Recommendation Systems for TV programs are the key to implementing personalized TV models. Various system architectures have been proposed and developed in the past ten years. In this paper, we propose a dynamic recommendation system, taking advantage of explicit and implicit, content-based and collaborative filtering recommendation systems. Included in our model is a proposal for incorporating a pseudo-user profile, as the basis for the collaborative filtering process. This pseudo-user profile reflects groups of similar users, thus reducing the search time in matching a current user to other like-minded users, in determining a recommendation. We also propose a server-based architecture for delivering recommendations, in an effort to overcome problems with static information in the collaborative filtering process. We discuss how the proposed architecture for selecting shows based on viewers personal interests provides some improvements to other models in the literature and suggest some directions for future research.
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