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A Network Centrality Method for the Rating Problem

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  • Yongli Li
  • Paolo Pin
  • Chong Wu

Abstract

We propose a new method for aggregating the information of multiple users rating multiple items. Our approach is based on the network relations induced between items by the rating activity of the users. Our method correlates better than the simple average with respect to the original rankings of the users, and besides, it is computationally more efficient than other methods proposed in the literature. Moreover, our method is able to discount the information that would be obtained adding to the system additional users with a systematically biased rating activity.

Suggested Citation

  • Yongli Li & Paolo Pin & Chong Wu, 2015. "A Network Centrality Method for the Rating Problem," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-19, April.
    • Handle: RePEc:plo:pone00:0120247
    DOI: 10.1371/journal.pone.0120247
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    References listed on IDEAS

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    1. Chong Ju Choi & Carla C. J. M. Millar & Caroline Y. L. Wong, 2005. "Knowledge and the State," Palgrave Macmillan Books, in: Knowledge Entanglements, chapter 0, pages 19-38, Palgrave Macmillan.
    2. Paul A. Pavlou & David Gefen, 2004. "Building Effective Online Marketplaces with Institution-Based Trust," Information Systems Research, INFORMS, vol. 15(1), pages 37-59, March.
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