513 search results - page 63 / 103 » Learning Models for Ranking Aggregates |
139
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ICCBR
2005
Springer
15 years 9 months ago
2005
Springer
We focus on the problem of selecting the few vehicles in a fleet that are expected to last the longest without failure. The prediction of each vehicle’s remaining life is based o...
122
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CIKM
2008
Springer
15 years 6 months ago
2008
Springer
We propose a framework for searching the Wikipedia with contextual information. Our framework extends the typical keyword search, by considering queries of the type q, p , where q...
137
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IR
2010
15 years 2 months ago
2010
Abstract We present a new ranking algorithm that combines the strengths of two previous methods: boosted tree classification, and LambdaRank, which has been shown to be empiricall...
120
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ACL
2007
15 years 5 months ago
2007
Even in a massive corpus such as the Web, a substantial fraction of extractions appear infrequently. This paper shows how to assess the correctness of sparse extractions by utiliz...
124
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TREC
2004
15 years 5 months ago
2004
While participating in the HARD track our first question was, what an IR-application should look like that takes into account preference meta-data from the user, without the need ...