A Feature-Based Reputation Model for Product Evaluation

Abstract : Knowing the strengths and weaknesses of a product is very important for manufacturers and customers to make decisions. Several sentiment analysis systems are proposed to determine the opinions of customers about products and product features. However, the aggregation methods used are not able to estimate a true reputation value and to re°ect the recent opinions quickly. Most of these systems are based on single source and therefore su®er from availability and susceptibility issues. In this paper, we propose a multi-source reputation model where several aggregation methods are introduced in order to evaluate product based on features. In addition, we also propose a method which uses four parameters in order to rank the reputability of each rating before considering it for reputation values. The results show that the proposed model estimates good reputation values even in the presence of biased behaviors, robust to false ratings and re°ects the newest opinions about product rapidly.
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International Journal of Information Technology and Decision Making, World Scientific Publishing, 2016, 15 (6), pp.1521 - 1553. 〈10.1142/S0219622016500358〉
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https://hal.inria.fr/hal-01467534
Contributeur : Antoine Nongaillard <>
Soumis le : mercredi 31 octobre 2018 - 17:15:06
Dernière modification le : jeudi 1 novembre 2018 - 01:22:19

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Umar Farooq, Antoine Nongaillard, Yacine Ouzrout, Muhammad Abdul Qadir. A Feature-Based Reputation Model for Product Evaluation. International Journal of Information Technology and Decision Making, World Scientific Publishing, 2016, 15 (6), pp.1521 - 1553. 〈10.1142/S0219622016500358〉. 〈hal-01467534〉

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