RecDB in action: Recommendation made easy in relational databases

Mohamed Sarwat, James Avery, Mohamed F. Mokbel

Research output: Contribution to journalConference articlepeer-review

19 Scopus citations


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)
Pages (from-to)1242-1245
Number of pages4
JournalProceedings of the VLDB Endowment
Issue number12
StatePublished - Aug 2013
Event39th International Conference on Very Large Data Bases, VLDB 2012 - Trento, Italy
Duration: Aug 26 2013Aug 30 2013


Dive into the research topics of 'RecDB in action: Recommendation made easy in relational databases'. Together they form a unique fingerprint.

Cite this