On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems

@inproceedings{Adamopoulos2014OnOA,
  title={On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems},
  author={Panagiotis Adamopoulos and Alexander Tuzhilin},
  booktitle={RecSys},
  year={2014}
}
Focusing on the problems of over-specialization and concentration bias, this paper presents a novel probabilistic method for recommending items in the neighborhood-based collaborative filtering framework. For the probabilistic neighborhood selection phase, we use an efficient method for weighted sampling of k neighbors that takes into consideration the similarity levels between the target user (or item) and the candidate neighbors. We conduct an empirical study showing that the proposed method… CONTINUE READING
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