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» Smoothing clickthrough data for web search ranking
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ECIR
2008
Springer
14 years 11 months ago
Using Clicks as Implicit Judgments: Expectations Versus Observations
Abstract. Clickthrough data has been the subject of increasing popularity as an implicit indicator of user feedback. Previous analysis has suggested that user click behaviour is su...
Falk Scholer, Milad Shokouhi, Bodo Billerbeck, And...
ACL
2009
14 years 7 months ago
Exploiting Bilingual Information to Improve Web Search
Web search quality can vary widely across languages, even for the same information need. We propose to exploit this variation in quality by learning a ranking function on bilingua...
Wei Gao, John Blitzer, Ming Zhou, Kam-Fai Wong
90
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WSDM
2010
ACM
194views Data Mining» more  WSDM 2010»
15 years 7 months ago
Ranking with Query-Dependent Loss for Web Search
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha
SEMWEB
2009
Springer
15 years 4 months ago
Using Naming Authority to Rank Data and Ontologies for Web Search
Abstract. The focus of web search is moving away from returning relevant documents towards returning structured data as results to user queries. A vital part in the architecture of...
Andreas Harth, Sheila Kinsella, Stefan Decker
WWW
2008
ACM
15 years 10 months ago
Genealogical trees on the web: a search engine user perspective
This paper presents an extensive study about the evolution of textual content on the Web, which shows how some new pages are created from scratch while others are created using al...
Ricardo A. Baeza-Yates, Álvaro R. Pereira J...