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Online Template Induction for Machine-Generated Emails

Summary: Crusher enables online template induction for machine-generated emails. Real-time discovery reduces template delay from weeks to minutes and achieves order-of-magnitude throughput gains over batch systems, while exposing limitations of conventional stream engines for online template induction. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11821
Venue
VLDB
Year
2019
Pagerank
4.1905499e-05
Overall Rank
11,678 | 18.84%
DOI
10.14778/3342263.3342264

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,547 Migrating a Privacy-Safe Information Extraction System to a Software 2.0 Design 2020 CIDR 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
143 TelegraphCQ: Continuous Dataflow Processing for an Uncertain World 2003 CIDR 0.00041688468
191 The Design of the Borealis Stream Processing Engine 2005 CIDR 0.00035714897
287 Storm @Twitter 2014 SIGMOD 0.00028917909
314 MillWheel: Fault-Tolerant Stream Processing at Internet Scale 2013 VLDB 0.00028059664
586 Extracting Structured Data from Web Pages 2003 SIGMOD 0.0001963091
822 Twitter Heron: Stream Processing at Scale 2015 SIGMOD 0.00016226851
1,467 SPADE: The System S Declarative Stream Processing Engine 2008 SIGMOD 0.00011838188
2,339 Samza: Stateful Scalable Stream Processing at LinkedIn 2017 VLDB 9.0029559e-05
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