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Statistics Seminar
Department of Mathematical Sciences
DATE: | Thursday, November 7, 2019 |
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TIME: | 1:15pm – 2:15pm |
LOCATION: | WH 100E |
SPEAKER: | Haomiao Meng, Binghamton University |
TITLE: | Learning to Rank in Web Search Application |
Abstract
LambdaMART is the boosted tree version of LambdaRank, which is based on RankNet. RankNet, LambdaRank, and LambdaMART have proven to be very successful algorithms for solving real world ranking problems: for example an ensemble of LambdaMART rankers won Track 1 of the 2010 Yahoo! Learning To Rank Challenge. The details of these algorithms are spread across several papers and reports, and so here we give a self-contained, detailed and complete description of them.