Modeling Across-Context Attention For Long-Tail Query Classification in E-commerce-Reference-Cited by-同舟云学术

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Modeling Across-Context Attention For Long-Tail Query Classification in E-commerce

Published:2021-03-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th ACM International Conference on Web Search and Data Mining
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Author:

Zhang Junhao¹,Xu Weidi²,Ji Jianhui¹,Chen Xi¹,Deng Hongbo¹,Yang Keping¹

Affiliation:

1. Alibaba Group, Hangzhou, China

2. Ant Financial Services Group, Hangzhou, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3437963.3441822

Reference40 articles.

1. An introduction to kernel and nearest-neighbor non-parametric regression;Altman Naomi S;The American Statistician,1992

2. HARAM: A Hierarchical ARAM Neural Network for Large-Scale Text Classification

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1. HCL4QC: Incorporating Hierarchical Category Structures Into Contrastive Learning for E-commerce Query Classification;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

2. A Multi-Granularity Matching Attention Network for Query Intent Classification in E-commerce Retrieval;Companion Proceedings of the ACM Web Conference 2023;2023-04-30

3. Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search;Proceedings of the 31st ACM International Conference on Information & Knowledge Management;2022-10-17

4. ROSE: Robust Caches for Amazon Product Search;Companion Proceedings of the Web Conference 2022;2022-04-25

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