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AdaRank

The basic idea of AdaRank is constructing “weak rankers” repeatedly based on reweighted training queries and linearly combining the weak rankers for making ranking predictions. Last published: April 11, 2011.

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  • Version:

    1.0

    Date Published:

    7/15/2024

    File Name:

    AdaRank.zip

    File Size:

    911.2 KB

    The basic idea of AdaRank is constructing “weak rankers” repeatedly based on reweighted training queries and linearly combining the weak rankers for making ranking predictions. In learning, AdaRank minimizes a loss function directly defined on performance measures. The details of AdaRank can be found in the paper “AdaRank: A Boosting Algorithm for Information Retrieval.”.

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