3 papers
cs.IR2026
Semantic IDs for Recommender Systems at Snapchat: Use Cases, Technical Challenges, and Design Choices
Clark Mingxuan Ju, Tong Zhao, Leonardo Neves +15
Effective item identifiers (IDs) are an important component for recommender systems (RecSys) in practice, and are commonly adopted in many use cases such as retrieval and ranking.…
cs.LG2025
GiGL: Large-Scale Graph Neural Networks at Snapchat
Tong Zhao, Yozen Liu, Matthew Kolodner +12
Recent advances in graph machine learning (ML) with the introduction of Graph Neural Networks (GNNs) have led to a widespread interest in applying these approaches to business appl…
cs.IR2024
Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems
Matthew Kolodner, Mingxuan Ju, Zihao Fan +5
Improving recommendation systems (RS) can greatly enhance the user experience across many domains, such as social media. Many RS utilize embedding-based retrieval (EBR) approaches…