Exploiting the beta distribution-based reputation model in recommender system
Abdel-Hafez, Ahmad & Xu, Yue (2015) Exploiting the beta distribution-based reputation model in recommender system. In Lecture Notes in Computer Science, Springer Berlin Heidelberg, Canberra, A.C.T, pp. 1-13.
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Reputation systems are employed to measure the quality of items on the Web. Incorporating accurate reputation scores in recommender systems is useful to provide more accurate recommendations as recommenders are agnostic to reputation. The ratings aggregation process is a vital component of a reputation system. Reputation models available do not consider statistical data in the rating aggregation process. This limitation can reduce the accuracy of generated reputation scores. In this paper, we propose a new reputation model that considers previously ignored statistical data. We compare our proposed model against state-of the-art models using top-N recommender system experiment.
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|Item Type:||Conference Paper|
|Keywords:||Reputation System, Ratings Aggregation, Beta Distribution, Recommender System|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2015 Springer International Publishing Switzerland|
|Deposited On:||08 Feb 2016 22:06|
|Last Modified:||15 Feb 2016 18:09|
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