research
∙
03/23/2023
Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels
Multi-label recognition (MLR) with incomplete labels is very challenging...
share
research
∙
03/20/2023
Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search
Retrieving relevant items that match users' queries from billion-scale c...
research
∙
02/02/2022
Adaptive Experimentation with Delayed Binary Feedback
Conducting experiments with objectives that take significant delays to m...
research
∙
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...
research
∙
03/02/2021
Probing Product Description Generation via Posterior Distillation
In product description generation (PDG), the user-cared aspect is critic...
research
∙
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...
research
∙
10/20/2020
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search
Relevance has significant impact on user experience and business profit ...
research
∙
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 ...
research
∙
09/16/2020
Group-wise Contrastive Learning for Neural Dialogue Generation
Neural dialogue response generation has gained much popularity in recent...
research
∙
07/24/2020
Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint
Product search is the most common way for people to satisfy their shoppi...
research
∙
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...
research
∙
06/03/2020
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 ...
research
∙
06/03/2020
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 ...
research
∙
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...
research
∙
03/22/2019