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CIKM
2008
Springer
15 years 3 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
BMCBI
2008
117views more  BMCBI 2008»
15 years 1 months ago
A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge
Background: The functional characterization of newly discovered proteins has been a challenge in the post-genomic era. Protein-protein interactions provide insights into the funct...
Young-Rae Cho, Lei Shi, Murali Ramanathan, Aidong ...
BMCBI
2008
208views more  BMCBI 2008»
15 years 1 months ago
GraphFind: enhancing graph searching by low support data mining techniques
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
Alfredo Ferro, Rosalba Giugno, Misael Mongiov&igra...
WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
13 years 9 months ago
Learning to rank with multi-aspect relevance for vertical search
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. T...
ADHOCNOW
2009
Springer
15 years 8 months ago
SenSearch: GPS and Witness Assisted Tracking for Delay Tolerant Sensor Networks
Abstract— Mobile wireless sensor networks have to be robust against the limitations of the underlying platform. While lightweight form factor makes them an attractive choice for ...
Lun Jiang, Jyh-How Huang, Ankur Kamthe, Tao Liu, I...