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» An Information Retrieval Approach to Sense Ranking
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ICML
2007
IEEE
14 years 9 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...
SIGECOM
2005
ACM
93views ECommerce» more  SIGECOM 2005»
14 years 2 months ago
Ranking systems: the PageRank axioms
This paper initiates research on the foundations of ranking systems, a fundamental ingredient of basic e-commerce and Internet Technologies. In order to understand the essence and...
Alon Altman, Moshe Tennenholtz
ICML
2009
IEEE
14 years 9 months ago
BoltzRank: learning to maximize expected ranking gain
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
Maksims Volkovs, Richard S. Zemel
ECIR
2009
Springer
13 years 6 months ago
PathRank: Web Page Retrieval with Navigation Path
Abstract. This paper describes a path-based method to use the multi-step navigation information discovered from website structures for web page ranking. Use of hyperlinks to enhanc...
Jianqiang Li, Yu Zhao 0002
BMCBI
2010
186views more  BMCBI 2010»
13 years 8 months ago
Knowledge-based biomedical word sense disambiguation: comparison of approaches
Background: Word sense disambiguation (WSD) algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be u...
Antonio Jimeno Yepes, Alan R. Aronson