Chapter

Recommender Systems Handbook

pp 881-918

Novelty and Diversity in Recommender Systems

  • Pablo CastellsAffiliated withUniversidad Autonoma de Madrid Email author 
  • , Neil J. HurleyAffiliated withUniversity College Dublin
  • , Saul VargasAffiliated withUniversidad Autonoma de Madrid

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Abstract

Novelty and diversity have been identified, along with accuracy, as foremost properties of useful recommendations. Considerable progress has been made in the field in terms of the definition of methods to enhance such properties, as well as methodologies and metrics to assess how well such methods work. In this chapter we give an overview of the main contributions to this area in the field of recommender systems, and seek to relate them together in a unified view, analyzing the common elements underneath the different forms under which novelty and diversity have been addressed, and identifying connections to closely related work on diversity in other fields.