Effective mechanism for social recommendation of news

Dong Wei, Tao Zhou, Giulio Cimini, Pei Wu, Weiping Liu and Yi-Cheng Zhang

Physica A: Statistical Mechanics and its Applications, 2011, vol. 390, issue 11, 2117-2126

Abstract: 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.

Keywords: Recommender systems; Social recommendation; Adaptive networks (search for similar items in EconPapers)
Date: 2011
References: View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:390:y:2011:i:11:p:2117-2126

DOI: 10.1016/j.physa.2011.02.005

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