User preference modeling by trust propagation for rating prediction

Yu Lei, Qiang Chen, Chengyao Chen, Wenjie Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


To alleviate the issue of data sparsity in collaborative filtering (CF), a number of trust-aware recommendation methods have been proposed recently. However, the existing methods that straightforwardly utilize trust relations to model user similarities in ratings or preference features can hardly provide the in-depth understanding of the trust and its relationship to user preference. They also fail to systematically model the mutual influence among users via the truster-user-trustee propagation. In this paper, we propose a novel integrated matrix factorization framework to model user preference, trust relation and the relationship between them in a systematic way. The proposed framework is able to describe how and how much users' preferences change and influence each other with trust propagation over the network. As a result, more effective user preference features can be learned from both rating and trust data. Experimental results on three real-world datasets show that our proposed methods outperform the state-of-theart CF and trust-aware methods.
Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015
Number of pages7
ISBN (Electronic)9781509018932
Publication statusPublished - 1 Jan 2015
EventIEEE International Conference on Smart City, SmartCity 2015 - Chengdu, China
Duration: 19 Dec 201521 Dec 2015


ConferenceIEEE International Conference on Smart City, SmartCity 2015


  • Rating prediction
  • Trust propagation
  • User preference modeling

ASJC Scopus subject areas

  • Information Systems
  • Media Technology
  • Computer Science Applications
  • Signal Processing
  • Computer Networks and Communications
  • Modelling and Simulation
  • Sociology and Political Science
  • Urban Studies


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