Enriching topic-based publish-subscribe systems with related content

Rubi Boim, Tova Milo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This demonstration presents RMFinder (Related Messages Finder), a system that retains the simplicity and efficiency of topic-based P2P pub-sub, while providing a richer service where users can automatically receive all messages related to those in the topics to which they are subscribed. RMFinder is based on a novel, dynamic, distributed clustering algorithm, that takes advantage of similarities between topic messages to group topics together, into topic-clusters. The clusters adjust automatically to shifts in the focus of the messages published by the topics, as well as to changes in the users interest, and allow for an effective delivery of related messages with minimal overhead.

Original languageEnglish
Title of host publicationSIGMOD 2008
Subtitle of host publicationProceedings of the ACM SIGMOD International Conference on Management of Data 2008
PublisherAssociation for Computing Machinery
Pages1327-1329
Number of pages3
ISBN (Print)9781605581026
DOIs
StatePublished - 2008
Event2008 ACM SIGMOD International Conference on Management of Data 2008, SIGMOD'08 - Vancouver, BC, Canada
Duration: 9 Jun 200812 Jun 2008

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)0730-8078

Conference

Conference2008 ACM SIGMOD International Conference on Management of Data 2008, SIGMOD'08
Country/TerritoryCanada
CityVancouver, BC
Period9/06/0812/06/08

Keywords

  • Dynamic clustering
  • P2P
  • Publish-subscribe
  • Related content

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