A Multitude of Opinions: Mining Online Rating Data
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 obje...
Saved in:
Main Authors: | LAUW, Hady Wirawan, LIM, Ee Peng |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2007
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/1262 https://ink.library.smu.edu.sg/context/sis_research/article/2261/viewcontent/HLauw_2007_MultitudeOpinions.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
On Mining Rating Dependencies in Online Collaborative Rating Networks
by: LAUW, Hady W., et al.
Published: (2009) -
Web Social Mining
by: LAUW, Hady W., et al.
Published: (2009) -
Mining Social Dependencies in Dynamic Interaction Networks
by: CHUA, Freddy Chong-Tat, et al.
Published: (2012) -
Trust network inference for online rating data using generative models
by: CHUA, Freddy Tat Chua, et al.
Published: (2011) -
Measuring Qualities of Articles Contributed by Online Communities
by: LIM, Ee Peng, et al.
Published: (2006)