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Trust-enhanced visibility for personalized document recommendations

Published: 23 April 2006 Publication History

Abstract

Documents are recommended by computer-based systems normally according to their prominence in the document reference network. Based on the requirements identified in a concrete use case for recommending scientific publications, the paper claims that merely measuring prominence is insufficient for high quality recommendations. We propose to use information from a trust network in addition to the document network in order to improve and to personalize recommendations. A trust-enhanced visibility measure integrates trust information and the classical reference based measures. A simulation study applies the new visibility measure to the presented use case.

References

[1]
P. Avesani, P. Massa, and R. Tiella. A trust-enhanced recommender system application: Moleskiing. In SAC '05: Proceedings of the 2005 ACM symposium on Applied computing, pages 1589--1593, 2005.]]
[2]
A.-L. Barabási. Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life. PLUME, 2003.]]
[3]
T. Beth, M. Borcherding, and B. Klein. Valuation of trust in open networks. In Proceedings of the European Symposium on Reserach in Computer Security (ESORICS), LNCS 875, pages 3--18, Brighton, UK, 1994. Springer Verlag.]]
[4]
R. Burke. Hybrid recommender systems: Survey and experiments. User Modeling and User-Adapted Interaction, 12(4):331--370, November 2002.]]
[5]
J. Golbeck, B. Parsia, and J. Hendler. Trust networks on the semantic web. In Proceedings of Cooperative Intelligent Agents, Helsinki, Finland, August 2003.]]
[6]
R. Guha, R. Kumar, P. Raghavan, and A. Tomkins. Propagation of trust and distrust. In WWW '04: Proceedings of the 13th international conference on World Wide Web, pages 403--412, New York, NY, USA, 2004. ACM Press.]]
[7]
M. Kinateder and K. Rothermel. Architecture and algorithms for a distributed reputation system. In Proceedings of the First International Conference on Trust Management, volume 2692, pages 1--16. Springer Verlag, April 2003.]]
[8]
J. M. Kleinberg. Authoritative sources in a hyperlinked environment. Journal of the ACM, 46(5): 604--632, 1999.]]
[9]
T. Malsch and C. Schlieder. Communication without agents? From agent-oriented to communication-oriented modeling. In L. et al., editor, Regulated Agent-Based Social Systems: First International Workshop, RASTA 2002, pages 113--133, Bologna, Italy, 2002. Springer-Verlag.]]
[10]
F. Menczer. Growing and navigating the small world web by local content. In Proceedings of the National Academy of Sciences of the United States of America, volume 99, pages 14014--14019, 2002.]]
[11]
M. E. J. Newman. The structure and function of complex networks. SIAM Review, 45:167--256, 2003.]]
[12]
L. Page, S. Brin, R. Motwani, and T. Winograd. The pagerank citation ranking: Bringing order to the web. Technical report, Stanford Digital Library Technologies Project, 1998.]]
[13]
G. Pinski and F. Narin. Citation influence for journal aggregates of scientific publications: Theory, with application to the literature of physics. Information Processing & Management, 12:297--312, 1976.]]
[14]
M. Richardson, R. Agrawal, and P. Domingos. Trust management for the semantic web. In D. Fensel, K. P. Sycara, and J. Mylopoulos, editors, Second International Semantic Web Conference (ISWC 2003), volume 2870 of Lecture Notes in Computer Science, pages 351--368, Sanibel Island, FL, USA, October 2003. Springer Verlag.]]
[15]
D. J. Watts. Six Degrees: The Science of a Connected Age. W. W. Norton & Company, Inc., 2003.]]
[16]
C.-N. Ziegler and G. Lausen. Spreading activation models for trust propagation. In Proceedings of the IEEE International Conference on e-Technology, e-Commerce, and e-Service, Taipei, Taiwan, March 2004. IEEE Computer Society Press.]]

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    cover image ACM Conferences
    SAC '06: Proceedings of the 2006 ACM symposium on Applied computing
    April 2006
    1967 pages
    ISBN:1595931082
    DOI:10.1145/1141277
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    Publication History

    Published: 23 April 2006

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    Author Tags

    1. personalization
    2. recommender system
    3. trust-enhanced document recommendations
    4. two-layer architecture

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    • (2016)Research-paper recommender systemsInternational Journal on Digital Libraries10.1007/s00799-015-0156-017:4(305-338)Online publication date: 1-Nov-2016
    • (2013)A Hybrid Document Recommender Algorithm Based on Random WalkApplied Mechanics and Materials10.4028/www.scientific.net/AMM.336-338.2270336-338(2270-2276)Online publication date: Jul-2013
    • (2011)Sequence-based trust in collaborative filtering for document recommendationInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2011.06.00169:9(587-601)Online publication date: Aug-2011
    • (2009)Effects of Social Approval Votes on Search PerformanceProceedings of the 2009 Sixth International Conference on Information Technology: New Generations10.1109/ITNG.2009.281(1554-1559)Online publication date: 27-Apr-2009
    • (2008)Trust-based recommendations for documentsAI Communications10.5555/1460172.146017921:2-3(145-153)Online publication date: 1-Apr-2008
    • (2008)Key figure impact in trust-enhanced recommender systemsAI Communications10.5555/1460172.146017821:2-3(127-143)Online publication date: 1-Apr-2008
    • (2007)Efficient calculation of personalized document rankingsProceedings of the 20th international joint conference on Artifical intelligence10.5555/1625275.1625722(2778-2783)Online publication date: 6-Jan-2007
    • (2006)Evaluating authoritative sources using social networks: an insight from WikipediaOnline Information Review10.1108/1468452061067578030:3(252-262)Online publication date: May-2006
    • (2005)Information retrieval in trust-enhanced document networksProceedings of the 2005 joint international conference on Semantics, Web and Mining10.1007/11908678_5(65-81)Online publication date: 3-Oct-2005

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