A rating aggregation method for generating product reputations
Abdel-Hafez, Ahmad, Xu, Yue, & Josang, Audun (2014) A rating aggregation method for generating product reputations. In Proceedings of the 25th ACM Conference on Hypertext and Social Media, ACM Digital Library, Santiago, Chile, 291-293 .
Many websites offer the opportunity for customers to rate items and then use customers' ratings to generate items reputation, which can be used later by other users for decision making purposes. The aggregated value of the ratings per item represents the reputation of this item. The accuracy of the reputation scores is important as it is used to rank items.
Most of the aggregation methods didn't consider the frequency of distinct ratings and they didn't test how accurate their reputation scores over different datasets with different sparsity. In this work we propose a new aggregation method which can be described as a weighted average, where weights are generated using the normal distribution. The evaluation result shows that the proposed method outperforms state-of-the-art methods over different sparsity datasets.
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|Item Type:||Conference Paper|
|Keywords:||Reputation Model, Ratings Aggregation, Uncertainty|
|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 The Authors|
|Copyright Statement:||Permission to make digital or hard copies of part or all of this work for personal or
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|Deposited On:||29 Sep 2014 22:37|
|Last Modified:||05 Oct 2014 01:00|
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