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SIGIR
2011
ACM
12 years 10 months ago
Collaborative competitive filtering: learning recommender using context of user choice
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hon...
CCGRID
2009
IEEE
14 years 2 months ago
Performance under Failures of DAG-based Parallel Computing
— As the scale and complexity of parallel systems continue to grow, failures become more and more an inevitable fact for solving large-scale applications. In this research, we pr...
Hui Jin, Xian-He Sun, Ziming Zheng, Zhiling Lan, B...
AAAI
2012
11 years 10 months ago
Transfer Learning in Collaborative Filtering with Uncertain Ratings
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
Weike Pan, Evan Wei Xiang, Qiang Yang
ICIP
2006
IEEE
14 years 9 months ago
On Performance Comparison of Real and Synthetic Iris Images
In the absence of real data for extensive testing of newly designed large-scale biometrics recognition systems a number of solutions are possible including use of resampling metho...
Jinyu Zuo, Natalia A. Schmid, Xiaohan Chen
STOC
2004
ACM
145views Algorithms» more  STOC 2004»
14 years 8 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler