99 search results - page 1 / 20 » Fast query expansion using approximations of relevance model... |
CIKM
2010
Springer
13 years 6 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 ...
ERCIMDL
1997
Springer
13 years 12 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
13 years 9 months 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...
ECIR
2008
Springer
13 years 9 months 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. ...
SIGIR
2012
ACM
11 years 10 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...