Conference Proceeding Article
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 across types. Collaborative Ordinal Embedding or COE is based on generative modelling of ordinal triples. Experiments show that COE outperforms the baselines on objective metrics, revealing its capacity for information preservation for ordinal data.
Numerical Analysis and Scientific Computing | Theory and Algorithms
Data Management and Analytics
EC '08 Proceedings of the 9th ACM conference on Electronic commerce
City or Country
LIU, Haifeng; LIM, Ee-Peng; LAUW, Hady Wirawan; LE, Minh-Tam; SUN, Aixin; SRIVASTAVA, Jaideep; and KIM, Young Ae.
Predicting Trusts among Users of Online Communities - An Epinions Case Study. (2008). EC '08 Proceedings of the 9th ACM conference on Electronic commerce. 310-319. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3359
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.