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» Methods for boosting recommender systems
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AAAI
2010
13 years 9 months ago
Transfer Learning in Collaborative Filtering for Sparsity Reduction
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
Weike Pan, Evan Wei Xiang, Nathan Nan Liu, Qiang Y...
WWW
2009
ACM
14 years 8 months ago
Large scale multi-label classification via metalabeler
The explosion of online content has made the management of such content non-trivial. Web-related tasks such as web page categorization, news filtering, query categorization, tag r...
Lei Tang, Suju Rajan, Vijay K. Narayanan
CVPR
2007
IEEE
14 years 9 months ago
Joint Optimization of Cascaded Classifiers for Computer Aided Detection
The existing methods for offline training of cascade classifiers take a greedy search to optimize individual classifiers in the cascade, leading inefficient overall performance. W...
Murat Dundar, Jinbo Bi
SIGMOD
2009
ACM
191views Database» more  SIGMOD 2009»
14 years 7 months ago
Scalable skyline computation using object-based space partitioning
The skyline operator returns from a set of multi-dimensional objects a subset of superior objects that are not dominated by others. This operation is considered very important in ...
Shiming Zhang, Nikos Mamoulis, David W. Cheung
POPL
2010
ACM
14 years 4 months ago
Coarse-Grained Transactions
Traditional transactional memory systems suffer from overly conservative conflict detection, yielding so-called false conflicts, because they are based on fine-grained, low-level ...
Eric Koskinen, Matthew Parkinson, Maurice Herlihy