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03/23/2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
In recommendation systems, a large portion of the ratings are missing du...
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04/15/2021
Dynamic Graph Neural Networks for Sequential Recommendation
Modeling users' preference from his historical sequences is one of the c...
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03/04/2021
Deep Graph Structure Learning for Robust Representations: A Survey
Graph Neural Networks (GNNs) are widely used for analyzing graph-structu...
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01/11/2021
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction
Click-through rate (CTR) prediction, which aims to predict the probabili...
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08/27/2020
One Shot 3D Photography
3D photography is a new medium that allows viewers to more fully experie...
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04/22/2020
