2164 search results - page 72 / 433 » Learning to rank for information retrieval |
CIKM
2000
Springer
15 years 2 months 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...
138
click to vote
SIGIR
2011
ACM
14 years 19 days ago
2011
ACM
As the Internet grows explosively, search engines play a more and more important role for users in effectively accessing online information. Recently, it has been recognized that ...
SIGIR
2006
ACM
15 years 3 months ago
2006
ACM
We show that incorporating user behavior data can significantly improve ordering of top results in real web search setting. We examine alternatives for incorporating feedback into...
CIKM
2008
Springer
14 years 11 months ago
2008
Springer
The Web contains a large amount of documents and increasingly, also semantic data in the form of RDF triples. Many of these triples are annotations that are associated with docume...
SIGIR
2010
ACM
14 years 10 months ago
2010
ACM
Recently, Portfolio Theory (PT) has been proposed for Information Retrieval. However, under non-trivial conditions PT violates the original Probability Ranking Principle (PRP). In...