[HdT15] A Real-time Filtering by Novelty and Diversity for Publish/Subscribe Systems
Atelier, Poster ou Démonstration dans une Conférence Internationale :
SSDBM'15, International Conference on Scientific and Statistical Database Management,
June 2015,
pp.1-4,
San Diego,
USA,
(
DOI:
10.1145/2791347.2791356)
Mots clés: Pub/Sub, Filtering, Novelty & Diversity, web syndication
Résumé:
Content syndication has become a popular way for timely delivery of frequently updated information on the Web. It essentially enhances traditional pull-oriented searching and browsing of web pages with push-oriented protocols. How- ever many Web syndication applications imply a tight cou- pling between feed producers and consumers and do not help users to find, in all information they received, items with interesting and new content. We present the FiND Pub/Sub system which integrates an in-memory filtering process based on keyword subscriptions. Unlike existing proposals, FiND is designed for real-time notifications on item streams. This demonstration illustrates the main features of the FiND system namely (i) a scalable real-time notification process when the most important terms of the subscription are matched, (ii) a tunable filtering by novelty and diversity to reduce user flooding.