Structural Clustering of Machine-Generated Mail

Author:

Avigdor-Elgrabli Noa1,Cwalinski Mark2,Di Castro Dotan1,Gamzu Iftah1,Grabovitch-Zuyev Irena1,Lewin-Eytan Liane1,Maarek Yoelle1

Affiliation:

1. Yahoo research, Haifa, Israel

2. Yahoo inc., Sunnyvale, USA

Publisher

ACM

Cited by 11 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. Search and Discovery in Personal Email Collections;Foundations and Trends® in Information Retrieval;2021

2. Online template induction for machine-generated emails;Proceedings of the VLDB Endowment;2019-07

3. RiSER: Learning Better Representations for Richly Structured Emails;The World Wide Web Conference on - WWW '19;2019

4. More than Threads;Proceedings of the 27th ACM International Conference on Information and Knowledge Management;2018-10-17

5. Anatomy of a Privacy-Safe Large-Scale Information Extraction System Over Email;Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining;2018-07-19

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