@inproceedings{d6848b87a71d401391052a72acbe1cc4,
title = "A robust and fast reputation system for online rating systems",
abstract = "Recent studies have shown that reputation escalation is emerging as a new service, by which dealers pay to receive good feedback and escalate their ratings in online shopping markets. With the dramatic increase in the number of ratings provided by consumers, scalability has arisen as a significant issue in the existing methods of reputation systems. In order to tackle such issue, we here propose a fast algorithm that calculates the reputation based on a random sample of the ratings. Since the randomly selected sample has a logarithmic size, it guarantees a feasible scalability for large-scale online review systems. In addition, the randomness nature of the algorithm makes it robust against unfair ratings. We analyze the effectiveness of the proposed algorithm through extensive empirical evaluation using real world and synthetically generated datasets. Our experimental results show that the proposed method provides a high accuracy while running much faster than the existing iterative filtering approach.",
keywords = "Data aggregation, Online rating, Randomized algorithm, Reputation system, Trust computation",
author = "Mohsen Rezvani and Mojtaba Rezvani",
note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 18th International Conference on Web Information Systems Engineering, WISE 2017 ; Conference date: 07-10-2017 Through 11-10-2017",
year = "2017",
doi = "10.1007/978-3-319-68786-5_14",
language = "English",
isbn = "9783319687858",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "175--183",
editor = "Weijia Jia and Andrey Klimenko and Fedor Dzerzhinskiy and Klimenko, {Stanislav V.} and Lu Chen and Qing Li and Yunjun Gao and Athman Bouguettaya and Xiangliang Zhang",
booktitle = "Web Information Systems Engineering – WISE 2017 - 18th International Conference, Proceedings",
address = "Germany",
}