274 search results - page 17 / 55 » Ranking with Uncertain Labels |
SIGIR
2008
ACM
14 years 11 months ago
2008
ACM
Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
107
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WSDM
2009
ACM
15 years 6 months ago
2009
ACM
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
104
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AAAI
2004
15 years 1 months ago
2004
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
CIKM
2001
Springer
15 years 4 months ago
2001
Springer
Data fusion on the Web refers to the merging, into a unified single list, of the ranked document lists, which are retrieved in response to a user query by more than one Web search...
113
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NAACL
2010
14 years 9 months ago
2010
This paper introduces a system designed for automatically generating personalized annotation tags to label Twitter user's interests and concerns. We applied TFIDF ranking and...