Recommender System of Online Social Network
نویسنده
چکیده
Nowadays, more and more recommender systems make use of the users’ online behaviors and social connections in order to help people find interesting information. In this paper, I discusses three pieces of work on recommendation approaches that can be applied on social network . The first paper is an overview of the recommender systems, problems and possible extensions; the second paper proposes a personalized and contextualized recommender system using inter-relational information of the users and items; the third paper proposes a temporal recommendation approach by fusing users’ longand short-term preferences. After that, my research and results in the first year of PhD are to be introduced, as well as the roadmap of the future work.
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