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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 5 days ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
RECSYS
2009
ACM
15 years 6 months ago
An incentive-based architecture for social recommendations
We present an incentive-based architecture for providing recommendations in a social network. We maintain a distinct reputation system for each individual and we rely on users to ...
Rajat Bhattacharjee, Ashish Goel, Konstantinos Kol...
DIS
2007
Springer
15 years 6 months ago
A Hilbert Space Embedding for Distributions
We describe a technique for comparing distributions without the need for density estimation as an intermediate step. Our approach relies on mapping the distributions into a reprodu...
Alexander J. Smola, Arthur Gretton, Le Song, Bernh...
OZCHI
2006
ACM
15 years 5 months ago
Beyond security: implications for the future of federated digital identity management systems
Federated identity management is often viewed by corporations as a solution to support secure online commerce by synthesising complex and fragmented user information into a single...
Christine Satchell, Graeme G. Shanks, Steve Howard...
ECIR
2010
Springer
15 years 1 months ago
Learning to Select a Ranking Function
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
Jie Peng, Craig Macdonald, Iadh Ounis