Zhenya Huang

Confidence-Aware Matrix Factorization for Recommender Systems

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

Collaborative filtering (CF), particularly matrix factorization (MF) based methods, have been widely used in recommender systems. The literature has reported that matrix factorization methods often produce superior accuracy of rating prediction in recommender systems. However, …

A Novel Approach for Auto-Formulation of Optimization Problems

2023 · arXiv (Cornell University)

In the Natural Language for Optimization (NL4Opt) NeurIPS 2022 competition, competitors focus on improving the accessibility and usability of optimization solvers, with the aim of subtask 1: recognizing the semantic entities that correspond to the …

Learning from History and Present

2018

In the modern e-commerce, the behaviors of customers contain rich information, e.g., consumption habits, the dynamics of preferences. Recently, session-based recommendationsare becoming popular to explore the temporal characteristics of customers' interactive behaviors. However, existing works …