Xinyang Yi

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

2018

Neural-based multi-task learning has been successfully used in many real-world large-scale applications such as recommendation systems. For example, in movie recommendations, beyond providing users movies which they tend to purchase and watch, the system might …

Aligning Large Language Models with Recommendation Knowledge

2024

Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan Hulikal Keshavan, Lukasz Heldt, Lichan Hong, Ed Chi, Maheswaran Sathiamoorthy. Findings of the Association for Computational Linguistics: NAACL 2024. 2024.

Recommending what video to watch next

2019

In this paper, we introduce a large scale multi-objective ranking system for recommending what video to watch next on an industrial video sharing platform. The system faces many real-world challenges, including the presence of multiple …