551 search results - page 9 / 111 » Learning to rank for information retrieval (LR4IR 2008) |
102
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ICML
2009
IEEE
16 years 15 days ago
2009
IEEE
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
120
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MIR
2010
ACM
14 years 10 months ago
2010
ACM
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
SIGIR
2006
ACM
15 years 5 months ago
2006
ACM
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document prefere...
108
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TREC
2003
15 years 1 months ago
2003
Ranking functions are instrumental for the success of an information retrieval (search engine) system. However nearly all existing ranking functions are manually designed based on...
SAC
2008
ACM
14 years 11 months ago
2008
ACM
When developing semantic applications, the construction of ontologies is a crucial part. We are developing a semiautomatic ontology construction approach, OntoCase, relying on ont...