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Article
A Trust-Aware System for Personalized User Recommendations in Social Networks
IEEE Transactions on Systems, Man, and Cybernetics: Systems (2014)
  • Magdalini Eirinaki, San Jose State University
  • Malamati D. Louta, University of Western Macedonia
  • Iraklis Varlamis, Harokopio University
Abstract
Social network analysis has recently gained a lot of interest because of the advent and the increasing popularity of social media, such as blogs, social networking applications, microblogging, or customer review sites. In this environment, trust is becoming an essential quality among user interactions and the recommendation for useful content and trustful users is crucial for all the members of the network. In this paper, we introduce a framework for handling trust in social networks, which is based on a reputation mechanism that captures the implicit and explicit connections between the network members, analyzes the semantics and dynamics of these connections, and provides personalized user recommendations to the network members.
Keywords
  • trust,
  • Personalization,
  • recommendation,
  • reputation,
  • social networks
Publication Date
April, 2014
DOI
10.1109/TSMC.2013.2263128
Publisher Statement
SJSU users: use the following link to login and access the article via SJSU databases
Citation Information
Magdalini Eirinaki, Malamati D. Louta and Iraklis Varlamis. "A Trust-Aware System for Personalized User Recommendations in Social Networks" IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 44 Iss. 4 (2014) p. 409 - 421 ISSN: 2168-2232
Available at: http://works.bepress.com/magdalini_eirinaki/33/