Parallel and Distributed Collaborative Filtering: A Survey
Information Retrieval
2014-09-10 v1 Distributed, Parallel, and Cluster Computing
Abstract
Collaborative filtering is amongst the most preferred techniques when implementing recommender systems. Recently, great interest has turned towards parallel and distributed implementations of collaborative filtering algorithms. This work is a survey of the parallel and distributed collaborative filtering implementations, aiming not only to provide a comprehensive presentation of the field's development, but also to offer future research orientation by highlighting the issues that need to be further developed.
Cite
@article{arxiv.1409.2762,
title = {Parallel and Distributed Collaborative Filtering: A Survey},
author = {Efthalia Karydi and Konstantinos G. Margaritis},
journal= {arXiv preprint arXiv:1409.2762},
year = {2014}
}
Comments
46 pages