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[HDT13] An Intelligent PubSub Filtering System
Atelier, Poster ou Démonstration dans une Conférence Nationale : BDA'13, Base de données Avancées, October 2013, pp.1-5, Nantes, France,Mots clés: Pub/Sub, Indexing subscriptions, RSS, Diversity & Novelty
Résumé:
Content syndication has become a popular mean 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. In such paradigm, publishers deliver brief information summaries on the Web,
called news items, while information consumers subscribe to a number of feeds seen as information channels
and get informed about the addition of recent items. However, many Web syndication applications imply
a tight coupling between feed producers with consumers, and they do not help users nding news items
with interesting content. This demonstration shows a prototype which integrates the whole process of
this fi ltering steps on numerous RSS feeds in memory, based on keyword-based subscriptions. Our system
proposes to notify items related to a set of keywords either by broad-match semantic, partial matching and a
diversity/novelty filtering. In this demonstration we discuss how our system integrates the three paradigms
through dedicated indexes and a window-based structure for diversity/novelty filtering. We will demonstrate
the management of noti fications and global information on our system.
BibTeX
| @inproceedings { | |||
| HDT13, | |||
| title | = | "{An Intelligent PubSub Filtering System}", | |
| author | = | " Z. Hmedeh and C. du Mouza and N. Travers ", | |
| booktitle | = | "{BDA'13, Base de données Avancées}", | |
| year | = | 2013, | |
| month | = | "October", | |
| pages | = | "1-5", | |
| address | = | "Nantes, France", | |
| } | |||
