A reputation-enhanced recommender system

被引：10

作者：

Abdel-Hafez, Ahmad ^{[1
]}

Tang, Xiaoyu ^{[1
]}

Tian, Nan ^{[1
]}

Xu, Yue ^{[1
]}

机构：

[1] Queensland University of Technology, Brisbane

来源：

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2014年 / 8933卷

关键词：

Enrichment; Merging Ranked Lists; Personalization; Recommender System; Reputation System; User profile;

D O I：

10.1007/978-3-319-14717-8_15

中图分类号：

学科分类号：

摘要：

Reputation systems are employed to provide users with advice on the quality of items on the Web, based on the aggregated value of user-based ratings. Recommender systems are used online to suggest items to users according to the users, expressed preferences. Yet, recommender systems will endorse an item regardless of its reputation value. In this paper, we report the incorporation of reputation models into recommender systems to enhance the accuracy of recommendations. The proposed method separates the implementation of recommender and reputation systems for generality. Our experiment showed that the proposed method could enhance the accuracy of existing recommender systems. © Springer International Publishing Switzerland 2014.

引用

页码：185 / 198

页数：13

共 21 条

[1]

Zhou X., Xu Y., Li Y., Josang A., Cox C., The state-of-the-art in personalized recommender systems for social networking, Artificial Intelligence Review, 37, 2, pp. 119-132, (2012)

[2]

Josang A., Guo G., Pini M.S., Santini F., Xu Y., Combining recommender and reputation systems to produce better online advice, MDAI 2013. LNCS, 8234, pp. 126-138, (2013)

[3]

Papagelis M., Plexousakis D., Kutsuras T., Alleviating the sparsity problem of collaborative filtering using trust inferences, iTrust 2005. LNCS, 3477, pp. 224-239, (2005)

[4]

Sarwar B., Karypis G., Konstan J., Riedl J., Analysis of recommendation algorithms for e-commerce, Proceedings of the 2nd ACM Conference on Electronic Commerce, pp. 158-167, (2000)

[5]

Liang H., Xu Y., Li Y., Nayak R., Tao X., Connecting users and items with weighted tags for personalized item recommendations, Proceedings of the 21st ACM Conference on Hypertext and Hypermedia, pp. 51-60, (2010)

[6]

Riggs T., Wilensky R., An Algorithm For Automated Rating Of Reviewers, Proceedings of the First ACM/IEEE-CS Joint Conference on Digital Libraries, pp. 381-387, (2001)

[7]

Ayday E., Lee H., Fekri F., An Iterative Algorithm For Trust And Reputation Management, Proceedings of the International Symposium on Information Theory, pp. 2051-2055, (2009)

[8]

Josang A., Haller J., Dirichlet Reputation Systems. Proceedings of the Second International, Proceedings of Conference on Availability, Reliability and Security, pp. 112-119, (2007)

[9]

Resnick P., Varian H.R., Recommender systems, Community of ACM, 40, 1997, pp. 56-58, (1997)

[10]

Resnick P., Iacovou N., Suchak M., Bergstrom P., Riedl J., GroupLens: An open architecture for collaborative filtering of net-news, Proceedings of the 1994 ACM Conference on Computer Supported Cooperative Work, pp. 175-186, (1994)

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