Alteração - Atendimento do Repositório Institucionalclique aqui para acessar a portaria
Please use this identifier to cite or link to this item:
|metadata.artigo.dc.title:||Assessing distributed collaborative recommendations in different opportunistic network scenarios|
|metadata.artigo.dc.creator:||Barbosa, Lucas Nunes|
Gemmell, Jonathan F.
Mobile ad hoc networks
Decentralised recommender systems
User-based collaborative filtering
Sistemas de recomendação
Redes ad hoc móveis
Filtragem colaborativa baseada no usuário
Comunicações dispositivo a dispositivo
Aprendizado de máquina
|metadata.artigo.dc.identifier.citation:||BARBOSA, L. N. et al. Assessing distributed collaborative recommendations in different opportunistic network scenarios. International Journal of Grid and Utility Computing, [S. l.], v. 11, n. 5, 2020. DOI: 10.1504/IJGUC.2020.110046.|
|metadata.artigo.dc.description.abstract:||Mobile devices are common throughout the world, even in countries with limited internet access and even when natural disasters disrupt access to a centralised infrastructure. This access allows for the exchange of information at an incredible pace and across vast distances. However, this wealth of information can frustrate users as they become inundated with irrelevant or unwanted data. Recommender systems help to alleviate this burden. In this work, we propose a recommender system where users share information via an opportunistic network. Each device is responsible for gathering information from nearby users and computing its own recommendations. An exhaustive empirical evaluation was conducted on two different data sets. Scenarios with different node densities, velocities and data exchange parameters were simulated. Our results show that in a relatively short time when a sufficient number of users are present, an opportunistic distributed recommender system achieves results comparable to that of a centralised architecture.|
|Appears in Collections:||DCC - Artigos publicados em periódicos|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.