DBScholar

Back to papers

RecDB in Action: Recommendation Made Easy in Relational Databases

Summary: RecDB in Action: relational DBMS for personalized recommendations on PostgreSQL. Restaurant and Movie demos validate practical workloads; VLDB 2013 paper-recommendation demo from DBLP shows direct support for recommender workloads in the DBMS. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10771
Venue
VLDB
Year
2013
Pagerank
6.180013e-05
Overall Rank
5,544 | 61.97%
DOI
10.14778/2536274.2536308

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{sarwat_vldb13,
        title = {{RecDB in Action: Recommendation Made Easy in Relational Databases}},
        author = {Sarwat, Mohamed and Avery, James and Mokbel, Mohamed F.},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {12},
        pages = {1242--1245},
        doi = {10.14778/2536274.2536308},
        url = {https://doi.org/10.14778/2536274.2536308},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,799 REACT: Context-Sensitive Recommendations for Data Analysis 2016 SIGMOD 5.7701345e-05
12,145 Structured Analytics in Social Media 2015 VLDB 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers