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Socially aware tv program recommender for multiple viewers

With the increasing amount of research on smart TVs, users are interacting with them in an evermore convenient way. However, current program recommendations mainly focus on using individual profiles and require users' active participation when multiple viewers coexist. In this paper, we propose...

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Published in:IEEE transactions on consumer electronics 2009-05, Vol.55 (2), p.927-932
Main Authors: Shin, Choonsung, Woo, Woontack
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Language:English
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description With the increasing amount of research on smart TVs, users are interacting with them in an evermore convenient way. However, current program recommendations mainly focus on using individual profiles and require users' active participation when multiple viewers coexist. In this paper, we propose a socially aware program recommender for multiple viewers of a digital TV that rates and selects TV programs based on individual and group preferences. For this task, the proposed recommender generates recommendations for users by merging user profiles and combining their common interests. In this way, programs that all users prefer are automatically selected and ambiguous or conflicting programs are mediated based on user feedback. Through subsequent experiments with a smart TV equipped with the program recommender, we found that the performance of group recommendations improved when individual profiles and the group's common interests were used, and that users preferred different strategies when they were with other people.
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subjects Consumer products
Decision making
Digital
Digital TV
Electronic mail
Electronics
Feedback
group
group recommendation
History
Intelligent systems
Merging
Real time systems
Strategy
Tasks
Television
Television ratings
Ubiquitous computing
title Socially aware tv program recommender for multiple viewers
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