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» Modeling anchor text and classifying queries to enhance web ...
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HT
2005
ACM
13 years 10 months ago
Queries as anchors: selection by association
This paper introduces a new method for linking the world view of the search engine user community with that of the search engine itself. This new method is based on collecting and...
Einat Amitay, Adam Darlow, David Konopnicki, Uri W...
SIGIR
2011
ACM
12 years 8 months ago
Pseudo test collections for learning web search ranking functions
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
Nima Asadi, Donald Metzler, Tamer Elsayed, Jimmy L...
SIGIR
2004
ACM
13 years 10 months ago
Toward better weighting of anchors
Okapi BM25 scoring of anchor text surrogate documents has been shown to facilitate effective ranking in navigational search tasks over web data. We hypothesize that even better r...
David Hawking, Trystan Upstill, Nick Craswell
CIKM
2009
Springer
13 years 11 months ago
A machine learning approach for improved BM25 retrieval
Despite the widespread use of BM25, there have been few studies examining its effectiveness on a document description over single and multiple field combinations. We determine t...
Krysta Marie Svore, Christopher J. C. Burges
SIGIR
2008
ACM
13 years 5 months ago
Analyzing web text association to disambiguate abbreviation in queries
We introduce a statistical model for abbreviation disambiguation in Web search, based on analysis of Web data resources, including anchor text, click log and query log. By combini...
Xing Wei, Fuchun Peng, Benoît Dumoulin