440 search results - page 6 / 88 » A Fast Algorithm for Learning a Ranking Function from Large-... |
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
This paper gives an efficient Bayesian method for inferring the parameters of a PlackettLuce ranking model. Such models are parameterised distributions over rankings of a finite s...
CIKM
2000
Springer
14 years 6 days ago
2000
Springer
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
WWW
2008
ACM
14 years 8 months ago
2008
ACM
Sponsored search is one of the enabling technologies for today's Web search engines. It corresponds to matching and showing ads related to the user query on the search engine...
CIKM
2008
Springer
13 years 10 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, ...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
In ranking, one is given examples of order relationships among objects, and the goal is to learn from these examples a real-valued ranking function that induces a ranking or order...