33 search results - page 4 / 7 » Cross-Market Model Adaptation with Pairwise Preference Data ... |
CIKM
2008
Springer
13 years 7 months ago
2008
Springer
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...
JODS
2006
13 years 5 months ago
2006
This paper addresses the various facets of emergent semantics in content retrieval systems such as Knowledge Sifter, an architecture and system based on the use of specialized agen...
CIKM
2009
Springer
14 years 11 days ago
2009
Springer
No search engine is perfect. A typical type of imperfection is the preference misalignment between search engines and end users, e.g., from time to time, web users skip higherrank...
WWW
2010
ACM
14 years 23 days ago
2010
ACM
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
ER
2007
Springer
13 years 12 months ago
2007
Springer
It is increasingly recognised that user preferences should be addressed in many advanced database applications, such as adaptive searching in databases. However, the fundamental is...