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» Methods for comparing rankings of search engine results
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EMNLP
2009
14 years 7 months ago
Model Adaptation via Model Interpolation and Boosting for Web Search Ranking
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Marie...
WSDM
2012
ACM
243views Data Mining» more  WSDM 2012»
13 years 5 months ago
No search result left behind: branching behavior with browser tabs
Today’s Web browsers allow users to open links in new windows or tabs. This action, which we call ‘branching’, is sometimes performed on search results when the user plans t...
Jeff Huang, Thomas Lin, Ryen W. White
CIKM
2009
Springer
15 years 4 months ago
Identifying comparable entities on the web
Web search engines are often presented with user queries that involve comparisons of real-world entities. Thus far, this interaction has typically been captured by users submittin...
Alpa Jain, Patrick Pantel
CIKM
2009
Springer
15 years 2 months ago
A comparative study of methods for estimating query language models with pseudo feedback
We systematically compare five representative state-of-theart methods for estimating query language models with pseudo feedback in ad hoc information retrieval, including two var...
Yuanhua Lv, ChengXiang Zhai
WEBI
2009
Springer
15 years 4 months ago
Full-Subtopic Retrieval with Keyphrase-Based Search Results Clustering
We consider the problem of retrieving multiple documents relevant to the single subtopics of a given web query, termed “full-subtopic retrieval”. To solve this problem we pres...
Andrea Bernardini, Claudio Carpineto, Massimiliano...