99 search results - page 1 / 20 » Fast query expansion using approximations of relevance model... |
CIKM
2010
Springer
14 years 9 months ago
2010
Springer
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...
110
Voted
ERCIMDL
1997
Springer
15 years 3 months ago
1997
Springer
: A fully operational large scale digital library is likely to be based on a distributed architecture and because of this it is likely that a number of independent search engines m...
ACL
2006
15 years 9 days ago
2006
We present BAYESUM (for "Bayesian summarization"), a model for sentence extraction in query-focused summarization. BAYESUM leverages the common case in which multiple do...
92
Voted
ECIR
2008
Springer
15 years 10 days ago
2008
Springer
In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-ranked documents are selected as feedback to build a new expansion query model. ...
196
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SIGIR
2012
ACM
13 years 1 months ago
2012
ACM
People are seldom aware that their search queries frequently mismatch a majority of the relevant documents. This may not be a big problem for topics with a large and diverse set o...