322 search results - page 1 / 65 » A Bayesian Approach for Learning Document Type Relevance |
ECIR
2007
Springer
13 years 8 months ago
2007
Springer
Retrieval accuracy can be improved by considering which document type should be filtered out and which should be ranked higher in the result list. Hence, document type can be used...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
Relevance feedback, which traditionally uses the terms in the relevant documents to enrich the user's initial query, is an effective method for improving retrieval performanc...
ICML
2001
IEEE
14 years 7 months ago
2001
IEEE
In this paper, we show how we can learn to select good words for a document title. We view the problem of selecting good title words for a document as a variant of an Information ...
NAACL
1994
13 years 8 months ago
1994
The normal practice of selecting relevant documents for training routing queries is to either use all relevants or the 'best n' of them after a (retrieval) ranking opera...
ECIR
2007
Springer
13 years 8 months ago
2007
Springer
This paper extends previous work on document retrieval and document type classification, addressing the problem of ‘typed search’. Specifically, given a query and a designated ...