3 citations · 11 across the 12 of their papers we have counts for
Showing cs.IRShow all
2 papers · 1 filter
cs.IR2025
Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat
Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar +11
The development of powerful user representations is a key factor in the success of recommender systems (RecSys). Online platforms employ a range of RecSys techniques to personalize…
cs.IR2024
DQRM: Deep Quantized Recommendation Models
Yang Zhou, Zhen Dong, Ellick Chan +3
Large-scale recommendation models are currently the dominant workload for many large Internet companies. These recommenders are characterized by massive embedding tables that are s…