Liangwei Yang

Personalized Multi-task Training for Recommender System

2024 · arXiv (Cornell University)

In the vast landscape of internet information, recommender systems (RecSys) have become essential for guiding users through a sea of choices aligned with their preferences. These systems have applications in diverse domains, such as news …

Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems

2025

Graph-based and sequential methods are two popular recommendation paradigms, each excelling in its domain but lacking the ability to leverage signals from the other. To address this, we propose a novel method that integrates both …