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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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A Survey of Deep Active Learning
Active learning (AL) attempts to maximize the performance gain of the mo...
08/30/2020 ∙ by Pengzhen Ren, et al. ∙
147
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Fine-tune BERT for E-commerce Non-Default Search Ranking
The quality of non-default ranking on e-commerce platforms, such as base...
08/21/2020 ∙ by Yunjiang Jiang, 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. ∙
6
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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. ∙
0
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A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions
Deep learning has made major breakthroughs and progress in many fields. ...
06/01/2020 ∙ by Pengzhen Ren, et al. ∙
75
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Saliency Detection via Bidirectional Absorbing Markov Chain
Traditional saliency detection via Markov chain only considers boundarie...
08/25/2018 ∙ by Fengling Jiang, et al. ∙
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