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» Exploiting Semantic Query Context to Improve Search Ranking
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SEMCO
2008
IEEE
13 years 10 months ago
Exploiting Semantic Query Context to Improve Search Ranking
One challenge for relevance ranking in Web search is underspecified queries. For such queries, top-ranked documents may contain information irrelevant to the search goal of the us...
Ziming Zhuang, Silviu Cucerzan
SIGIR
2003
ACM
13 years 9 months ago
Exploiting query history for document ranking in interactive information retrieval
In this poster,we incorporate user query history, as context information, to improve the retrieval performance in interactive retrieval. Experiments using the TREC data show that ...
Xuehua Shen, ChengXiang Zhai
SWAP
2008
13 years 5 months ago
Improving Retrieval Experience Exploiting Semantic Representation of Documents
The traditional strategy performed by Information Retrieval (IR) systems is ranked keyword search: for a given query, a list of documents, ordered by relevance, is returned. Releva...
Pierpaolo Basile, Annalina Caputo, Anna Lisa Genti...
ACL
2009
13 years 2 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
CIKM
2010
Springer
13 years 2 months ago
Exploiting site-level information to improve web search
Ranking Web search results has long evolved beyond simple bag-of-words retrieval models. Modern search engines routinely employ machine learning ranking that relies on exogenous r...
Andrei Z. Broder, Evgeniy Gabrilovich, Vanja Josif...