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Probing Product Description Generation via Posterior Distillation
In product description generation (PDG), the user-cared aspect is critic...
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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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BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search
Relevance has significant impact on user experience and business profit ...
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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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Group-wise Contrastive Learning for Neural Dialogue Generation
Neural dialogue response generation has gained much popularity in recent...
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Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint
Product search is the most common way for people to satisfy their shoppi...
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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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Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning
Nowadays e-commerce search has become an integral part of many people's ...
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Towards Personalized and Semantic Retrieval: An End-to-EndSolution for E-commerce Search via Embedding Learning
Nowadays e-commerce search has become an integral part of many people's ...
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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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Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction
The recommender system is an important form of intelligent application, ...
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