Enriching Topic-Based Publish-Subscribe Systems with Related Content

Summary: RMFinder: enriches topic-based pub-sub with related-message delivery. A distributed clustering algorithm builds auto-adjusting topic-clusters from topic-message similarities, adapting to shifts in focus and user interests with low overhead. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4094
Venue: SIGMOD
Year: 2008
Pagerank: -
Overall Rank: 13,576 | 5.65%
DOI: -

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Authors

1. Rubi Boim
2. Tova Milo

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Rank	Citing Paper	Year	Venue	Pagerank

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

Rank	Cited Paper	Year	Venue	Pagerank
3,295	Boosting Topic-Based Publish-Subscribe Systems with Dynamic Clustering	2007	SIGMOD	7.2563022e-05

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