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SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search
Graph convolution networks (GCN), which recently becomes new state-of-th...
07/01/2021 ∙ by Xinlin Xia, et al. ∙
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Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index
Embedding index that enables fast approximate nearest neighbor(ANN) sear...
05/09/2021 ∙ by Han Zhang, et al. ∙
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Person Search Challenges and Solutions: A Survey
Person search has drawn increasing attention due to its real-world appli...
05/01/2021 ∙ by Xiangtan Lin, et al. ∙
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A unified Neural Network Approach to E-CommerceRelevance Learning
Result relevance scoring is critical to e-commerce search user experienc...
04/26/2021 ∙ by Yunjiang Jiang, et al. ∙
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Query Rewriting via Cycle-Consistent Translation for E-Commerce Search
Nowadays e-commerce search has become an integral part of many people's ...
03/01/2021 ∙ by Yiming Qiu, 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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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. ∙
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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. ∙
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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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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. ∙
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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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