Exploiting Local and Global Social Context for Recommendation

  title={Exploiting Local and Global Social Context for Recommendation},
  author={Jiliang Tang and Xia Hu and Huiji Gao and Huan Liu},
With the fast development of social media, the information overload problem becomes increasingly severe and recommender systems play an important role in helping online users find relevant information by suggesting information of potential interests. Social activities for online users produce abundant social relations. Social relations provide an independent source for recommendation, presenting both opportunities and challenges for traditional recommender systems. Users are likely to seek… CONTINUE READING
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