A probabilistic mixture model for mining and analyzing product search log-Reference-Cited by-同舟云学术

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A probabilistic mixture model for mining and analyzing product search log

Published:2013 Issue: Volume: Page:
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Container-title:Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13
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Author:

Duan Huizhong,Zhai ChengXiang,Cheng Jinxing,Gattani Abhishek

Publisher

ACM Press

Cited by 24 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. Learning to Ask: Conversational Product Search via Representation Learning;ACM Transactions on Information Systems;2022-12-21

2. AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query;Proceedings of the 31st ACM International Conference on Information & Knowledge Management;2022-10-17

3. A multi-representation re-ranking model for Personalized Product Search;Information Fusion;2022-05

4. IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search;Proceedings of the ACM Web Conference 2022;2022-04-25

5. Differential Query Semantic Analysis;Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining;2022-02-11

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