551 search results - page 18 / 111 » Learning to rank for information retrieval (LR4IR 2008) |
WWW
2007
ACM
16 years 11 days ago
2007
ACM
This paper is concerned with rank aggregation, the task of combining the ranking results of individual rankers at meta-search. Previously, rank aggregation was performed mainly by...
108
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SIGIR
2009
ACM
15 years 6 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
15 years 1 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, ...
111
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ECIR
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
121
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ICML
2009
IEEE
16 years 15 days ago
2009
IEEE
We present an on-line learning framework tailored towards real-time learning from observed user behavior in search engines and other information retrieval systems. In particular, ...