From neighbors to global neighbors in collaborative filtering: an evolutionary optimization approach

Abstract

The accuracy of recommendations of collaborative filtering based recommender systems mainly depends on which users (the neighbors) are exploited to estimate a user's ratings. We propose a new approach of neighbor selection, which adopts a global point of view. This approach defines a unique set of possible neighbors, shared by all users, referred to as… (More)
DOI: 10.1145/2330163.2330214

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