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08/31/2023
AntM^2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction
Click-through rate (CTR) prediction is a crucial issue in recommendation...
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04/25/2023
COUPA: An Industrial Recommender System for Online to Offline Service Platforms
Aiming at helping users locally discovery retail services (e.g., enterta...
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11/23/2022
Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations
Deep Candidate Generation plays an important role in large-scale recomme...
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12/07/2020
Learning Graph Neural Networks with Approximate Gradient Descent
The first provably efficient algorithm for learning graph neural network...
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02/27/2020
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing
Mobile payment such as Alipay has been widely used in our daily lives. T...
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12/03/2015