Facebook single and cross domain data for recommendation systems

  title={Facebook single and cross domain data for recommendation systems},
  author={Bracha Shapira and Lior Rokach and Shirley Freilikhman},
  journal={User Modeling and User-Adapted Interaction},
The emergence of social networks and the vast amount of data that they contain about their users make them a valuable source for personal information about users for recommender systems. In this paper we investigate the feasibility and effectiveness of utilizing existing available data from social networks for the recommendation process, specifically from Facebook. The data may replace or enrich explicit user ratings. We extract from Facebook content published by users on their personal pages… CONTINUE READING
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