A Smart TV Application for Personalized Recommender Services
نویسندگان
چکیده
With the TV channel explosion, many people face an exhausting task of having to find something to watch on TV that fits their interest. Despite the excessive increase of TV contents, there are few considerations in the development of novel methods for personalized smart TV content recommender services. In this paper, we define an application architecture of personalized TV content recommender service. In addition, for the personalized recommender service, we consider the use of user’s context data increasing the user’s satisfaction about the recommender service.
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