91 search results - page 9 / 19 » Learning Ranking vs. Modeling Relevance |
SIGIR
2009
ACM
14 years 2 months ago
2009
ACM
Web search is increasingly exploiting named entities like persons, places, businesses, addresses and dates. Entity ranking is also of current interest at INEX and TREC. Numerical ...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Many of the recently proposed algorithms for learning feature-based ranking functions are based on the pairwise preference framework, in which instead of taking documents in isola...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
SIGIR
2006
ACM
14 years 1 months ago
2006
ACM
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
ICDE
2009
IEEE
14 years 9 months ago
2009
IEEE
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...