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165
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CIKM
2006
Springer
15 years 10 months ago
2006
Springer
This work addresses two common problems in search, frequently occurring with underspecified user queries: the top-ranked results for such queries may not contain documents relevan...
162
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SIGIR
2002
ACM
15 years 6 months ago
2002
ACM
We describe a new family of topic-ranking algorithms for multi-labeled documents. The motivation for the algorithms stems from recent advances in online learning algorithms. The a...
174
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WWW
2006
ACM
16 years 7 months ago
2006
ACM
Currently, there is an increasing effort to provide various personalized services on museum web sites. This paper presents an approach for determining user interests in a museum c...
162
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KDD
2007
ACM
16 years 6 months ago
2007
ACM
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
175
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CIKM
2007
Springer
16 years 15 days ago
2007
Springer
Web search engines consistently collect information about users interaction with the system: they record the query they issued, the URL of presented and selected documents along w...