7 citations · 8 across the 3 of their papers we have counts for
5 papers
HIT Model: A Hierarchical Interaction-Enhanced Two-Tower Model for Pre-Ranking Systems
Haoqiang Yang, Congde Yuan, Kun Bai +3
Online display advertising platforms rely on pre-ranking systems to efficiently filter and prioritize candidate ads from large corpora, balancing relevance to users with strict com…
Data-driven Preference Learning Methods for Sorting Problems with Multiple Temporal Criteria
Yijun Li, Mengzhuo Guo, Miłosz Kadziński +1
The advent of predictive methodologies has catalyzed the emergence of data-driven decision support across various domains. However, developing models capable of effectively handlin…
An interpretable neural network model through piecewise linear approximation
Mengzhuo Guo, Qingpeng Zhang, Xiuwu Liao +1
Most existing interpretable methods explain a black-box model in a post-hoc manner, which uses simpler models or data analysis techniques to interpret the predictions after the mod…
Explainable Ordinal Factorization Model: Deciphering the Effects of Attributes by Piece-wise Linear Approximation
Mengzhuo Guo, Zhongzhi Xu, Qingpeng Zhang +2
Ordinal regression predicts the objects' labels that exhibit a natural ordering, which is important to many managerial problems such as credit scoring and clinical diagnosis. In th…
A hybrid machine learning framework for analyzing human decision making through learning preferences
Mengzhuo Guo, Qingpeng Zhang, Xiuwu Liao +2
Machine learning has recently been widely adopted to address the managerial decision making problems, in which the decision maker needs to be able to interpret the contributions of…