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WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
14 years 5 months ago
Pairwise Interaction Tensor Factorization for Personalized Tag Recommendation
Tagging plays an important role in many recent websites. Recommender systems can help to suggest a user the tags he might want to use for tagging a specific item. Factorization mo...
Steffen Rendle, Lars Schmidt-Thieme
WSDM
2009
ACM
115views Data Mining» more  WSDM 2009»
14 years 3 months ago
Discovering and using groups to improve personalized search
Personalized Web search takes advantage of information about an individual to identify the most relevant results for that person. A challenge for personalization lies in collectin...
Jaime Teevan, Meredith Ringel Morris, Steve Bush
ICDM
2008
IEEE
401views Data Mining» more  ICDM 2008»
14 years 3 months ago
Graph OLAP: Towards Online Analytical Processing on Graphs
OLAP (On-Line Analytical Processing) is an important notion in data analysis. Recently, more and more graph or networked data sources come into being. There exists a similar need ...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, Phil...
ICDM
2009
IEEE
154views Data Mining» more  ICDM 2009»
13 years 6 months ago
GSML: A Unified Framework for Sparse Metric Learning
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
Kaizhu Huang, Yiming Ying, Colin Campbell
CVPR
2007
IEEE
14 years 10 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater