Predicting Trusts among Users of Online Communities - An Epinions Case Study
Embedding deals with reducing the high-dimensional representation of data into a low-dimensional representation. Previous work mostly focuses on preserving similarities among objects. Here, not only do we explicitly recognize multiple types of objects, but we also focus on the ordinal relationships...
Saved in:
Main Authors: | LIU, Haifeng, LIM, Ee-Peng, LAUW, Hady Wirawan, LE, Minh-Tam, SUN, Aixin, SRIVASTAVA, Jaideep, KIM, Young Ae |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2008
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/3359 https://ink.library.smu.edu.sg/context/sis_research/article/4361/viewcontent/PredictingTrust.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Predicting trusts among users of online communities: an Epinions case study
by: LIU, Haifeng, et al.
Published: (2008) -
Building a web of trust without explicit trust ratings
by: KIM, Young Ae, et al.
Published: (2008) -
Measuring Qualities of Articles Contributed by Online Communities
by: LIM, Ee Peng, et al.
Published: (2006) -
A Multitude of Opinions: Mining Online Rating Data
by: LAUW, Hady Wirawan, et al.
Published: (2007) -
On Ranking Controversies in Wikipedia: Models and Evaluation
by: VUONG, Ba-Quy, et al.
Published: (2008)