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Subjective Review-based Reputation

Research Area: Uncategorized Year: 2012
Type of Publication: In Proceedings
  • Costantino, Gianpiero
  • Morisset, Charles
  • Petrocchi, Marinella
Book title: Symposium of Applied Computing
Series: SAC
CNR; Aniketos, Nessos; tier B; citations 0
The choice of a product or a service is often influenced by its reputation, which is usually calculated from existing reviews of this product or service. A review can be either {\em objective}, for instance when referring to concrete features of a product, or {\em subjective}, for instance when referring to the feeling of the reviewer about one aspect. Subjective reviews are potentially biased by the characteristics of the reviewers, and therefore two subjective reviews should not be treated equally. We propose in this paper a model of reputation compensating the subjective bias of different categories of reviewers. We firstly calculate this bias by analyzing the ratio between reviews coming from different categories, and then we project a subjective reputation for a given category of reviewer. We demonstrate the accuracy of our bias calculation with an experimentation on public reviews for hotels, and two specific categories of users.