Online ratings: Convergence towards a positive perspective?

Author

Yaonan Zhang ; Lappas, Theodoros ; Crovella, Mark ; Kolaczyk, Eric D.

Author_Institution

Dept. of Math. & Stat., Boston Univ., Boston, MA, USA

fYear

2014

fDate

4-9 May 2014

Firstpage

4788

Lastpage

4792

Abstract

Do online reviews reflect the true quality of products? Several articles, in both the popular press and the research community, have publicized that the average rating for top review sites is above 4 out of 5 stars. In this paper, we study the phenomena of review rating trends and convergence. We analyze data obtained from a popular restaurant review website, and present several models of increasing sophistication for the dynamics of the review ratings we observe.

Keywords

Web sites; consumer behaviour; electronic commerce; marketing data processing; product quality; regression analysis; data analysis; online ratings; online reviews; ordinal logistic regression; popular press; popular restaurant review Website; product quality; research community; review rating convergence; review rating trends; review ratings dynamics; social influence; top review sites; Analytical models; Biological system modeling; Convergence; Data models; Logistics; Market research; Standards; convergence; online ratings; ordinal logistic regression; social influence;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on

Conference_Location

Florence

Type

conf

DOI

10.1109/ICASSP.2014.6854511

Filename

6854511