Exploiting the diversity of user preferences for recommendation

  title={Exploiting the diversity of user preferences for recommendation},
  author={Saul Vargas and Pablo Castells},
Diversity as a quality dimension for Recommender Systems has been receiving increasing attention in the last few years. This has been paralleled by an intense strand of research on diversity in search tasks, and in fact converging views on diversity theories and techniques from Information Retrieval and Recommender Systems have been put forward in recent work. In this paper we research diversity not only as a target property for a recommender system, but as an element in the input data, within… CONTINUE READING
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