484 search results - page 20 / 97 » Extending Relevance Model for Relevance Feedback |
ECIR
2008
Springer
13 years 8 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. ...
SPIRE
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Weighting models use lexical statistics, such as term frequencies, to derive term weights, which are used to estimate the relevance of a document to a query. Apart from t...
CIKM
2007
Springer
14 years 1 months ago
2007
Springer
Implicit feedback algorithms utilize interaction between searchers and search systems to learn more about users’ needs and interests than expressed in query statements alone. Th...
SIGIR
2004
ACM
14 years 22 days ago
2004
ACM
Pseudo feedback is a commonly used technique to improve information retrieval performance. It assumes a few top-ranked documents to be relevant, and learns from them to improve th...
KDD
2006
ACM
14 years 7 months ago
2006
ACM
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...