Feb 29, 2024 · To overcome this dilemma, we propose a new optimization metric, Lower-Left Partial AUC (LLPAUC), which is computationally efficient like AUC but ...

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation Wentao Shi∗ University of Science and. Technology of China

The AUCtron algorithm implicitly considers class prior probabilities in the decision criteria. Our results demonstrated that AUC is a sensitive enough metric ...

To overcome this dilemma, we propose a new optimization metric, Lower-Left Partial AUC (LLPAUC), which is computationally efficient like AUC but strongly ...

Mar 14, 2024 · [rfp0350] Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation · Comments.

Compared to AUC, LLPAUC considers only the partial area under the ROC curve in the Lower-Left corner to push the optimization focus on Top-K. We provide ...

Nov 15, 2024 · [4] Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. WWW 2024. [5] On optimizing top-k metrics for ...

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang ...

Compared to AUC, LLPAUC considers only the partial area under the ROC curve in the Lower-Left corner to push the optimization focus on Top-K. We provide ...

This paper proposes new formulations of pAUC surrogate objectives by using the distributionally robust optimization (DRO) to define the loss for each ...