Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation
Cross-Domain Recommendation has been popularly studied to resolve data sparsity
problem via leveraging knowledge transfer across different domains. In this paper, we focus …
problem via leveraging knowledge transfer across different domains. In this paper, we focus …
Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders
Industrial recommendation systems process billions of daily user feedback which are
complex and noisy. Efficiently uncovering user preference from these signals becomes …
complex and noisy. Efficiently uncovering user preference from these signals becomes …
Moment&Cross: Next-Generation Real-Time Cross-Domain CTR Prediction for Live-Streaming Recommendation at Kuaishou
Kuaishou, is one of the largest short-video and live-streaming platform, compared with short-
video recommendations, live-streaming recommendation is more complex because of:(1) …
video recommendations, live-streaming recommendation is more complex because of:(1) …
PlatoD2GL: An Efficient Dynamic Deep Graph Learning System for Graph Neural Network Training on Billion-Scale Graphs
X Huang, D Lin, W Huang, S Sun… - 2024 IEEE 40th …, 2024 - ieeexplore.ieee.org
Recently, huge interests in both academic and in-dustry have been posed to Graph Neural
Network due to its power on revealing the topological information inside the data. To support …
Network due to its power on revealing the topological information inside the data. To support …