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SIGIR
2010
ACM
13 years 6 months ago
Exploiting click-through data for entity retrieval
We present an approach for answering Entity Retrieval queries using click-through information in query log data from a commercial Web search engine. We compare results using click...
Bodo Billerbeck, Gianluca Demartini, Claudiu S. Fi...
CIKM
2010
Springer
13 years 4 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...
EMNLP
2008
13 years 7 months ago
The Linguistic Structure of English Web-Search Queries
Web-search queries are known to be short, but little else is known about their structure. In this paper we investigate the applicability of part-of-speech tagging to typical Engli...
Cory Barr, Rosie Jones, Moira Regelson
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 6 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
MM
2009
ACM
137views Multimedia» more  MM 2009»
14 years 7 days ago
Lightweight web image reranking
Web image search is inspired by text search techniques; it mainly relies on indexing textual data that surround the image file. But retrieval results are often noisy and image pro...
Adrian Popescu, Pierre-Alain Moëllic, Ioannis...