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Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach
In e-commerce platforms, sponsored and non-sponsored content are jointly...
05/28/2021 ∙ by Carlos Carrion, et al. ∙
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Probing Product Description Generation via Posterior Distillation
In product description generation (PDG), the user-cared aspect is critic...
03/02/2021 ∙ by Haolan Zhan, et al. ∙
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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...
11/24/2020 ∙ by Junyou He, et al. ∙
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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 ...
10/20/2020 ∙ by Yunjiang Jiang, et al. ∙
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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 ...
10/02/2020 ∙ by Hu Liu, et al. ∙
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Group-wise Contrastive Learning for Neural Dialogue Generation
Neural dialogue response generation has gained much popularity in recent...
09/16/2020 ∙ by Hengyi Cai, et al. ∙
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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...
07/24/2020 ∙ by Zhuojian Xiao, et al. ∙
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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...
06/18/2020 ∙ by Hu Liu, et al. ∙
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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 ...
06/03/2020 ∙ by Han Zhang, et al. ∙
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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 ...
06/03/2020 ∙ by Han Zhang, et al. ∙
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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...
11/03/2019 ∙ by Yikai Wang, et al. ∙
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Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction
The recommender system is an important form of intelligent application, ...
03/22/2019 ∙ by Dongyang Zhao, et al. ∙
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