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Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search
Result relevance prediction is an essential task of e-commerce search en...
01/13/2021 ∙ by Ziyang Liu, 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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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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Maximally Consistent Sampling and the Jaccard Index of Probability Distributions
We introduce simple, efficient algorithms for computing a MinHash of a p...
09/11/2018 ∙ by Ryan Moulton, et al. ∙
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