A comprehensive survey of neighborhood-based recommendation methods

X. Ning, C. Desrosiers, G. Karypis

Research output: Chapter in Book/Report/Conference proceedingChapter

157 Scopus citations

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 some solutions to overcome these problems are presented.

Original languageEnglish (US)
Title of host publicationRecommender Systems Handbook, Second Edition
PublisherSpringer US
Pages37-76
Number of pages40
ISBN (Electronic)9781489976376
ISBN (Print)9781489976369
DOIs
StatePublished - Jan 1 2015

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