RecDB in action: Recommendation made easy in relational databases

Mohamed Sarwat, James Avery, Mohamed Mokbel

Research output: Contribution to journalArticle

17 Citations (Scopus)

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
Pages (from-to)1242-1245
Number of pages4
JournalProceedings of the VLDB Endowment
Volume6
Issue number12
DOIs
Publication statusPublished - 1 Jan 2013
Externally publishedYes

ASJC Scopus subject areas

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

Cite this

RecDB in action : Recommendation made easy in relational databases. / Sarwat, Mohamed; Avery, James; Mokbel, Mohamed.

In: Proceedings of the VLDB Endowment, Vol. 6, No. 12, 01.01.2013, p. 1242-1245.

Research output: Contribution to journalArticle

Sarwat, Mohamed ; Avery, James ; Mokbel, Mohamed. / RecDB in action : Recommendation made easy in relational databases. In: Proceedings of the VLDB Endowment. 2013 ; Vol. 6, No. 12. pp. 1242-1245.
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