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» Learning to rank on graphs
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SIGIR
2010
ACM
15 years 10 months ago
Extending average precision to graded relevance judgments
Evaluation metrics play a critical role both in the context of comparative evaluation of the performance of retrieval systems and in the context of learning-to-rank (LTR) as objec...
Stephen E. Robertson, Evangelos Kanoulas, Emine Yi...
CIKM
2010
Springer
15 years 5 months ago
Collaborative future event recommendation
We demonstrate a method for collaborative ranking of future events. Previous work on recommender systems typically relies on feedback on a particular item, such as a movie, and ge...
Einat Minkov, Ben Charrow, Jonathan Ledlie, Seth J...
PAKDD
2011
ACM
253views Data Mining» more  PAKDD 2011»
14 years 9 months ago
Balance Support Vector Machines Locally Using the Structural Similarity Kernel
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...
Jianxin Wu
WWW
2007
ACM
16 years 7 months ago
How NAGA uncoils: searching with entities and relations
Current keyword-oriented search engines for the World Wide Web do not allow specifying the semantics of queries. We address this limitation with NAGA1 , a new semantic search engi...
Gjergji Kasneci, Fabian M. Suchanek, Maya Ramanath...
BIBE
2009
IEEE
210views Bioinformatics» more  BIBE 2009»
16 years 1 months ago
Analysis of Autism Prevalence and Neurotoxins Using Combinatorial Fusion and Association Rule Mining
- The increase in autism prevalence has been the motivation for much research which has produced various theories for its causation. Genetic and environmental factors have been inv...
Christina Schweikert, Yanjun Li, David Dayya, Davi...