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» Word Sense Language Model for Information Retrieval
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CIKM
2009
Springer
15 years 10 months ago
Translating relevance scores to probabilities for contextual advertising
Information retrieval systems conventionally assess document relevance using the bag of words model. Consequently, relevance scores of documents retrieved for different queries a...
Deepak Agarwal, Evgeniy Gabrilovich, Robert Hall, ...
SIGIR
2009
ACM
15 years 10 months ago
Query dependent pseudo-relevance feedback based on wikipedia
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be effective in many information retrieval (IR) tasks. In most existing work, the top-ranked documents from...
Yang Xu, Gareth J. F. Jones, Bin Wang
CHI
2005
ACM
16 years 4 months ago
From creating virtual gestures to "writing" in sign languages
Sign languages have been proven to be natural languages, as capable of expressing human thoughts and emotions as traditional languages are. The distinct visual and spatial nature ...
Beifang Yi, Frederick C. Harris Jr., Sergiu M. Das...
WWW
2008
ACM
16 years 4 months ago
Representing a web page as sets of named entities of multiple types: a model and some preliminary applications
As opposed to representing a document as a "bag of words" in most information retrieval applications, we propose a model of representing a web page as sets of named enti...
Nan Di, Conglei Yao, Mengcheng Duan, Jonathan J. H...
RIAO
2007
15 years 5 months ago
Using Prior Information Derived from Citations in Literature Search
Researchers spent a large amount of their time searching through an ever increasing number of scientific articles. Although users of scientific search engines prefer the ranking o...
Edgar Meij, Maarten de Rijke