551 search results - page 85 / 111 » Learning to rank for information retrieval (LR4IR 2008) |
174
click to vote
WSDM
2009
ACM
16 years 28 days ago
2009
ACM
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
175
click to vote
FTDB
2008
15 years 6 months ago
2008
The automatic extraction of information from unstructured sources has opened up new avenues for querying, organizing, and analyzing data by drawing upon the clean semantics of str...
167
click to vote
COLING
2007
15 years 6 months ago
2007
cally identifying clinically relevant aspects of MEDLINE abstracts. These extracted elements serve as the input to an algorithm that scores the relevance of citations with respect ...
262
click to vote
SIGMOD
2008
ACM
16 years 6 months ago
2008
ACM
Snippets are used by almost every text search engine to complement ranking scheme in order to effectively handle user searches, which are inherently ambiguous and whose relevance ...
164
click to vote
CIKM
2008
Springer
15 years 8 months ago
2008
Springer
Relevance feedback has been demonstrated to be an effective strategy for improving retrieval accuracy. The existing relevance feedback algorithms based on language models and vect...