Title :
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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6854511
