Mar 11, 2013 · Abstract:Linear NDCG is used for measuring the performance of the Web content quality assessment in ECML/PKDD Discovery Challenge 2010.
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We approximately optimize a variant of NDCG called NDCG β using pair-wise approaches. NDCG β utilizes the linear discounting function.
Abstract. Linear NDCG is used for measuring the performance of the Web content quality assessment in ECML/PKDD Discovery Challenge 2010.
Aug 6, 2024 · Linear NDCG is used for measuring the performance of the Web content quality assessment in ECML/PKDD Discovery Challenge 2010.
NDCGβ utilizes the linear discounting function. We first prove that the DCG error of NDCGβ is equal to the weighted pair-wise loss; then, on that basis, ...
Aug 1, 2021 · Yes, this is possible. You would want to apply a listwise learning to rank approach instead of the more standard pairwise loss function.
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Jul 3, 2014 · At a high-level, pointwise, pairwise and listwise approaches differ in how many documents you consider at a time in your loss function when ...
Sep 9, 2019 · The goal is to minimize the average number of inversions in ranking.In the pairwise approach, the loss function is defined on the basis of pairs ...
Nov 13, 2015 · I use the python implementation of XGBoost. One of the objectives is rank:pairwise and it minimizes the pairwise loss (Documentation). However, ...
After iteration 50, list- wise loss reaches its limit, while NDCG@5 also converges. Moreover, pairwise loss converges more slowly than list- wise loss, which ...