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03/23/2023
Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels
Multi-label recognition (MLR) with incomplete labels is very challenging...
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02/02/2022
Adaptive Experimentation with Delayed Binary Feedback
Conducting experiments with objectives that take significant delays to m...
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05/28/2021
Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach
In e-commerce platforms, sponsored and non-sponsored content are jointly...
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03/02/2021
Probing Product Description Generation via Posterior Distillation
In product description generation (PDG), the user-cared aspect is critic...
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11/24/2020
DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network
Click through rate(CTR) prediction is a core task in advertising systems...
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10/02/2020
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
Click-through rate (CTR) prediction is one of the fundamental tasks for ...
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09/16/2020
Group-wise Contrastive Learning for Neural Dialogue Generation
Neural dialogue response generation has gained much popularity in recent...
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06/18/2020
Category-Specific CNN for Visual-aware CTR Prediction at JD.com
As one of the largest B2C e-commerce platforms in China, JD.com also pow...
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11/05/2019
Adaptive Context Network for Scene Parsing
Recent works attempt to improve scene parsing performance by exploring d...
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11/03/2019
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction
Improving the performance of click-through rate (CTR) prediction remains...
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03/22/2019
