relation: http://eprints.imtlucca.it/2840/
title: Effective mechanism for social recommendation of news
creator: Wei, Dong
creator: Zhou, Tao
creator: Cimini, Giulio
creator: Wu, Pei
creator: Liu, Weiping
creator: Zhang, Yi-Cheng
subject: QC Physics
description: Recommender systems represent an important tool for news distribution on the Internet. In this work we modify a recently proposed social recommendation model in order to deal with no explicit ratings of users on news. The model consists of a network of users which continually adapts in order to achieve an efficient news traffic. To optimize the network’s topology we propose different stochastic algorithms that are scalable with respect to the network’s size. Agent-based simulations reveal the features and the performance of these algorithms. To overcome the resultant drawbacks of each method we introduce two improved algorithms and show that they can optimize the network’s topology almost as fast and effectively as other not-scalable methods that make use of much more information.
publisher: Elsevier
date: 2011
type: Article
type: PeerReviewed
format: application/pdf
language: en
rights: cc_by_nc_nd
identifier: http://eprints.imtlucca.it/2840/1/1103.5120v2.pdf
identifier:   Wei, Dong and Zhou, Tao and Cimini, Giulio and Wu, Pei and Liu, Weiping and Zhang, Yi-Cheng  Effective mechanism for social recommendation of news.  Physica A: Statistical Mechanics and its Applications, 390 (11).  2117 - 2126.  ISSN 0378-4371      (2011)  
relation: http://www.sciencedirect.com/science/article/pii/S0378437111001130
relation: 10.1016/j.physa.2011.02.005