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94
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BMCBI
2010
110views more  BMCBI 2010»
15 years 21 days ago
Concept-based query expansion for retrieving gene related publications from MEDLINE
Background: Advances in biotechnology and in high-throughput methods for gene analysis have contributed to an exponential increase in the number of scientific publications in thes...
Sérgio Matos, Joel Arrais, João Maia...
109
Voted
ICML
2007
IEEE
16 years 1 months ago
Learning to rank: from pairwise approach to listwise approach
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Han...
113
Voted
WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
15 years 10 months ago
Improving Quality of Training Data for Learning to Rank Using Click-Through Data
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, Elbi...
MIDDLEWARE
2007
Springer
15 years 6 months ago
Flexible matching and ranking of web service advertisements
With the growing number of service advertisements in service marketplaces, there is a need for matchmakers which select and rank functionally similar services based on nonfunction...
Navid Ahmadi, Walter Binder
98
Voted
CIKM
2010
Springer
14 years 11 months ago
Ranking related entities: components and analyses
Related entity finding is the task of returning a ranked list of homepages of relevant entities of a specified type that need to engage in a given relationship with a given sour...
Marc Bron, Krisztian Balog, Maarten de Rijke