A Multitude of Opinions: Mining Online Rating Data

Author

Hady Wirawan LAUW, Singapore Management University
Ee Peng LIM, Singapore Management UniversityFollow

Publication Type

Conference Paper

Version

submittedVersion

Publication Date

10-2007

Abstract

Online rating system is a popular feature of Web 2.0 applications. It typically involves a set of reviewers assigning rating scores (based on various evaluation criteria) to a set of objects. We identify two objectives for research on online rating data, namely achieving effective evaluation of objects and learning behaviors of reviewers/objects. These two objectives have conventionally been pursued separately. We argue that the future research direction should focus on the integration of these two objectives, as well as the integration between rating data and other types of data.

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Publication

National Science Foundation Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation NGDM 2007, October 10-12

First Page

1

Last Page

5

City or Country

Baltimore, MD

Citation

LAUW, Hady Wirawan and LIM, Ee Peng. A Multitude of Opinions: Mining Online Rating Data. (2007). National Science Foundation Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation NGDM 2007, October 10-12. 1-5.
Available at: https://ink.library.smu.edu.sg/sis_research/1262

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Additional URL

http://www.csee.umbc.edu/~hillol/NGDM07/abstracts/poster/HLauw.pdf