most citedAda-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation

9 citations · 17 across the 5 of their papers we have counts for

collaborators

6 papers

stat.ME20225 cited

Robust structured heterogeneity analysis approach for high-dimensional data

Yifan Sun, Ziye Luo, Xinyan Fan

Revealing relationships between genes and disease phenotypes is a critical problem in biomedical studies. This problem has been challenged by the heterogeneity of diseases. Patient…

stat.ME20223 cited

Regression-based heterogeneity analysis to identify overlapping subgroup structure in high-dimensional data

Ziye Luo, Xinyue Yao, Yifan Sun +1

Heterogeneity is a hallmark of complex diseases. Regression-based heterogeneity analysis, which is directly concerned with outcome-feature relationships, has led to a deeper unders…

cs.IR20229 cited

Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation

Xinyan Fan, Jianxun Lian, Wayne Xin Zhao +3

A large-scale recommender system usually consists of recall and ranking modules. The goal of ranking modules (aka rankers) is to elaborately discriminate users' preference on item…

stat.ME2022

Mutual Influence Regression Model

Xinyan Fan, Wei Lan, Tao Zou +1

In this article, we propose the mutual influence regression model (MIR) to establish the relationship between the mutual influence matrix of actors and a set of similarity matrices…

stat.ME2022

Covariance Model with General Linear Structure and Divergent Parameters

Xinyan Fan, Wei Lan, Tao Zou +1

For estimating the large covariance matrix with a limited sample size, we propose the covariance model with general linear structure (CMGL) by employing the general link function t…

cs.IR2020

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms

Wayne Xin Zhao, Shanlei Mu, Yupeng Hou +16

In recent years, there are a large number of recommendation algorithms proposed in the literature, from traditional collaborative filtering to deep learning algorithms. However, th…