Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search-Reference-Cited by-同舟云学术

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Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2023
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Author:

Wang Binbin¹^ORCID,Li Mingming¹^ORCID,Zeng Zhixiong¹^ORCID,Zhuo Jingwei¹^ORCID,Wang Songlin¹^ORCID,Xu Sulong¹^ORCID,Long Bo¹^ORCID,Yan Weipeng¹^ORCID

Affiliation:

1. JD.com, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543873.3584638

Reference25 articles.

1. Optimized Product Quantization for Approximate Nearest Neighbor Search

2. Real-time Personalization using Embeddings for Search Ranking at Airbnb

3. Improving Deep Learning for Airbnb Search

4. Embedding-based Retrieval in Facebook Search

5. Learning deep structured semantic models for web search using clickthrough data

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing E-commerce Search: Toward a Generalizable and Rank-Consistent Pre-Ranking Model;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

2. Large Language Model based Long-tail Query Rewriting in Taobao Search;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

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