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CIKM
2008
Springer
14 years 12 months ago
Suppressing outliers in pairwise preference ranking
Many of the recently proposed algorithms for learning feature-based ranking functions are based on the pairwise preference framework, in which instead of taking documents in isola...
Vitor R. Carvalho, Jonathan L. Elsas, William W. C...
WWW
2005
ACM
15 years 10 months ago
Semantic similarity between search engine queries using temporal correlation
We investigate the idea of finding semantically related search engine queries based on their temporal correlation; in other words, we infer that two queries are related if their p...
Steve Chien, Nicole Immorlica
WWW
2004
ACM
15 years 10 months ago
FADA: find all distinct answers
The wealth of information available on the web makes it an attractive resource for seeking quick answers. While web-based question answering becomes an emerging topic in recent ye...
Hui Yang, Tat-Seng Chua
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
15 years 10 months ago
Catching the drift: learning broad matches from clickthrough data
Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
Sonal Gupta, Mikhail Bilenko, Matthew Richardson
SIGIR
2004
ACM
15 years 3 months ago
Document clustering via adaptive subspace iteration
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
Tao Li, Sheng Ma, Mitsunori Ogihara