2011 AComprehensiveSurveyofNeighborh

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Subject Headings: Nearest Neighbor-based Collaborative Filtering.

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Abstract

Among collaborative recommendation approaches, methods based on nearest-neighbors still enjoy a huge amount of popularity, due to their simplicity, their efficiency, and their ability to produce accurate and personalized recommendations. This chapter presents a comprehensive survey of neighborhood-based methods for the item recommendation problem. In particular, the main benefits of such methods, as well as their principal characteristics, are described. Furthermore, this document addresses the essential decisions that are required while implementing a neighborhood-based recommender system, and gives practical information on how to make such decisions. Finally, the problems of sparsity and limited coverage, often observed in large commercial recommender systems, are discussed, and a few solutions to overcome these problems are presented.

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2011 AComprehensiveSurveyofNeighborhMarco Gori
George Karypis
Augusto Pucci
Christian Desrosiers
A Comprehensive Survey of Neighborhood-based Recommendation Methods10.1007/978-0-387-85820-3_42007
2011