Optimizing Parallel Collaborative Filtering Approaches for Improving Recommendation Systems Performance

Recommender systems are one of the fields of information filtering systems that have attracted great research interest during the past several decades and have been utilized in a large variety of applications, from commercial e-shops to social networks and product review sites. Since the applicabili...

Full description

Bibliographic Details
Main Authors: Christos Sardianos, Grigorios Ballas Papadatos, Iraklis Varlamis
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/10/5/155