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Journal Articles Computers in Industry Year : 2016

A multi source product reputation model

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Abstract

Product reputation model is very important for customers and manufactures in order to make decisions. Several product reputation models are proposed in literature which use customer reviews in order to compute reputation values. However, the aggregation methods used are not able to estimate a true reputation value when some ratings are false. Some of these aggregation methods are not robust to false and biased ratings because a single false rating is enough to change the result. Others are robust to false ratings but not able to reflect the recent opinions about product quickly. In addition, most of the product reputation models are based on single source, therefore su↵er from availability and vulnerability issues. In this paper, we propose a multi-source product reputation model where robust and strategy proof aggregation methods are used. A source credibility measure method is proposed, which uses four factors to determine malicious sources. Furthermore, a suitable decay principle for product reputation is also introduced in order to reflect the newest opinions quickly. The results show that proposed model is robust, strategy proof and able to estimates a true reputation value even if some ratings are false.
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Dates and versions

hal-01467613 , version 1 (31-10-2018)

Identifiers

Cite

Umar Farooq, Antoine Nongaillard, Yacine Ouzrout, Muhammad Abdul Qadir. A multi source product reputation model. Computers in Industry, 2016, 83, pp.55-67. ⟨10.1016/j.compind.2016.08.002⟩. ⟨hal-01467613⟩
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