A reputation-enhanced recommender system

Abdel-Hafez, Ahmad, Tang, Xiaoyu, Tian, Nan, & Xu, Yue (2014) A reputation-enhanced recommender system. In Advanced Data Mining and Applications: 10th International Conference, ADMA 2014 Proceedings [Lecture Notes in Computer Science, Volume 8933], Springer, Guilin, China, pp. 185-198.

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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.

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ID Code: 76401
Item Type: Conference Paper
Refereed: No
Additional URLs:
Keywords: Recommender System, User profile, Reputation System, Personalization, Enrichment, Merging Ranked Lists
DOI: 10.1007/978-3-319-14717-8_15
ISBN: 978-3-319-14716-1
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Decision Support and Group Support Systems (080605)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 [please consult the author]
Deposited On: 12 Oct 2014 23:30
Last Modified: 06 Feb 2015 18:21

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