Parallel and Distributed Collaborative Filtering

Abstract

Collaborative filtering is among the most preferred techniques when implementing recommender systems. Recently, great interest has turned toward parallel and distributed implementations of collaborative filtering algorithms. This work is a survey of parallel and distributed collaborative filtering implementations, aiming to not only provide a comprehensive presentation of the field's development but also offer future research directions by highlighting the issues that need to be developed further.