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 objective, for instance when referring to concrete features of a product, or 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 di?erent 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

Subjective Review-based Reputation

Costantino Gianpiero;Petrocchi Marinella
2012

Abstract

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 objective, for instance when referring to concrete features of a product, or 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 di?erent 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
2012
Istituto di informatica e telematica - IIT
Inglese
Proceedings of the 27th Annual ACM Symposium on Applied Computing
27th Annual ACM Symposium on Applied Computing, SAC 2012
2029
2034
6
978-1-4503-0857-1
http://dl.acm.org/citation.cfm?id=2232113
ACM Press
New York
STATI UNITI D'AMERICA
Sì, ma tipo non specificato
26 March 2012 through 30 March 2012
Trento, Italy
compensation
reputatio
review
ID_PUMA; /cnr.iit/2012-A2-036
3
none
Costantino, Gianpiero; Morisset, Charles; Petrocchi, Marinella
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/117795
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact