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IPM
2008
100views more  IPM 2008»
13 years 7 months ago
Query-level loss functions for information retrieval
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
WSDM
2009
ACM
140views Data Mining» more  WSDM 2009»
14 years 2 months ago
Effective latent space graph-based re-ranking model with global consistency
Recently the re-ranking algorithms have been quite popular for web search and data mining. However, one of the issues is that those algorithms treat the content and link informati...
Hongbo Deng, Michael R. Lyu, Irwin King
CIKM
2008
Springer
13 years 9 months ago
Answering general time sensitive queries
Time is an important dimension of relevance for a large number of searches, such as over blogs and news archives. So far, research on searching over such collections has largely f...
Wisam Dakka, Luis Gravano, Panagiotis G. Ipeirotis
BMCBI
2010
112views more  BMCBI 2010»
13 years 7 months ago
In silico fragmentation for computer assisted identification of metabolite mass spectra
Background: Mass spectrometry has become the analytical method of choice in metabolomics research. The identification of unknown compounds is the main bottleneck. In addition to t...
Sebastian Wolf, Stephan Schmidt, Matthias Mül...
SEMWEB
2009
Springer
14 years 1 months ago
What Four Million Mappings Can Tell You about Two Hundred Ontologies
The field of biomedicine has embraced the Semantic Web probably more than any other field. As a result, there is a large number of biomedical ontologies covering overlapping area...
Amir Ghazvinian, Natalya Fridman Noy, Clement Jonq...