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...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Christos Sardianos, Grigorios Ballas Papadatos, Iraklis Varlamis
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2019-04-01
coleção:	Information
Assuntos:	recommender systems collaborative filtering scalability graph partitioning distributed systems parallel execution social networks
Acesso em linha:	https://www.mdpi.com/2078-2489/10/5/155
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!