Parallel and Distributed Collaborative Filtering
Efthalia Karydi, Konstantinos G. Margaritis · ACM Computing Surveys · 2016
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.