Computer Science – Information Retrieval
Scientific paper
2010-01-13
Computer Science
Information Retrieval
5 pages, 4 figures, 1 table
Scientific paper
How to rank web pages, scientists and online resources has recently attracted increasing attention from both physicists and computer scientists. In this paper, we study the ranking problem of rating systems where users vote objects by discrete ratings. We propose an algorithm that can simultaneously evaluate the user reputation and object quality in an iterative refinement way. According to both the artificially generated data and the real data from MovieLens and Amazon, our algorithm can considerably enhance the ranking accuracy. This work highlights the significance of reputation systems in the Internet era and points out a way to evaluate and compare the performances of different reputation systems.
Jiang Luo-Luo
Medo Matus
Wakeling Joseph R.
Zhang Yi-Cheng
Zhou Tianchun
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