Continuous Top-k Processing of Social Network Information Streams: A Vision

Abdulhafiz Alkhouli (1) , Dan Vodislav (1) , Boris Borzic (1)

1 ETIS - UMR 8051 - Equipes Traitement de l'Information et Systèmes

With the huge popularity of social networks, publishing and consuming content through information streams is nowadays at the heart of the new Web. Top-k queries over the streams of interest allow limiting results to relevant content , while continuous processing of such queries is the most effective approach in large scale systems. Current systems fail in combining continuous top-k processing with rich scoring models including social network criteria. We present in this paper our vision on the possible features of a social network of information streams, with a rich scoring model compatible with continuous top-k processing.

Mots clés: information streams; social networks; continuous top-k query processing

Domaines: Base de données [cs.DB]

Abdulhafiz Alkhouli, Dan Vodislav, Boris Borzic. Continuous Top-k Processing of Social Network Information Streams: A Vision. on Information Search, Integration and Personalization, ISIP 2014, Oct 2014, Kuala Luimpur, Malaysia. pp.35-48, ⟨10.1007/978-3-319-38901-1_3⟩. ⟨hal-01417928⟩