RecDB in action: Recommendation made easy in relational databases

Mohamed Elsayed, James Avery, Mohamed F. Mokbel

Research output: Chapter in Book/Report/Conference proceedingChapter

18 Scopus citations

Abstract

In this paper, we demonstrate RecDB; a full-fledged database systemthat provides personalized recommendation to users. We implementedRecDB using an existing open source database systemPostgreSQL, and we demonstrate the effectiveness of RecDB usingtwo existing recommendation applications (1) Restaurant Recommendation,(2) Movie Recommendation. To make the demoeven more interactive, we showcase a novel application that recommendsresearch papers presented at VLDB 2013 to the conferenceattendees based on their publication history in DBLP.

Original languageEnglish (US)
Title of host publicationProceedings of the VLDB Endowment
Pages1242-1245
Number of pages4
Volume6
Edition12
StatePublished - Aug 2013
Externally publishedYes

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computer Science(all)

Cite this

Elsayed, M., Avery, J., & Mokbel, M. F. (2013). RecDB in action: Recommendation made easy in relational databases. In Proceedings of the VLDB Endowment (12 ed., Vol. 6, pp. 1242-1245)