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RecDB in action: recommendation made easy in relational databases

Authors:

Mohamed Sarwat,

James Avery,

Mohamed F. MokbelAuthors Info & Claims

Proceedings of the VLDB Endowment, Volume 6, Issue 12

Pages 1242 - 1245

https://doi.org/10.14778/2536274.2536286

Published: 01 August 2013 Publication History

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Abstract

In this paper, we demonstrate RecDB; a full-fledged database system that provides personalized recommendation to users. We implemented RecDB using an existing open source database system PostgreSQL, and we demonstrate the effectiveness of RecDB using two existing recommendation applications (1) Restaurant Recommendation, (2) Movie Recommendation. To make the demo even more interactive, we showcase a novel application that recommends research papers presented at VLDB 2013 to the conference attendees based on their publication history in DBLP.

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Schelter SCelebi UDunning TMaltzahn CMalik T(2019)Efficient Incremental Cooccurrence Analysis for Item-Based Collaborative FilteringProceedings of the 31st International Conference on Scientific and Statistical Database Management10.1145/3335783.3335784(61-72)Online publication date: 23-Jul-2019
https://dl.acm.org/doi/10.1145/3335783.3335784
Magdy AAbdelhafeez LKang YOng EMokbel M(2019)Microblogs data management: a surveyThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-019-00569-629:1(177-216)Online publication date: 18-Sep-2019
https://dl.acm.org/doi/10.1007/s00778-019-00569-6
Kitazawa TYui MPera SEkstrand MAmatriain XO'Donovan J(2018)Query-based simple and scalable recommender systems with apache hivemallProceedings of the 12th ACM Conference on Recommender Systems10.1145/3240323.3241592(502-503)Online publication date: 27-Sep-2018
https://dl.acm.org/doi/10.1145/3240323.3241592
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Index Terms

RecDB in action: recommendation made easy in relational databases
1. Information systems
  1. Data management systems
    1. Database management system engines

Index terms have been assigned to the content through auto-classification.

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cover image Proceedings of the VLDB Endowment

Proceedings of the VLDB Endowment Volume 6, Issue 12

August 2013

264 pages

ISSN:2150-8097

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VLDB Endowment

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Published: 01 August 2013

Published in PVLDB Volume 6, Issue 12

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Schelter SCelebi UDunning TMaltzahn CMalik T(2019)Efficient Incremental Cooccurrence Analysis for Item-Based Collaborative FilteringProceedings of the 31st International Conference on Scientific and Statistical Database Management10.1145/3335783.3335784(61-72)Online publication date: 23-Jul-2019
https://dl.acm.org/doi/10.1145/3335783.3335784
Magdy AAbdelhafeez LKang YOng EMokbel M(2019)Microblogs data management: a surveyThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-019-00569-629:1(177-216)Online publication date: 18-Sep-2019
https://dl.acm.org/doi/10.1007/s00778-019-00569-6
Kitazawa TYui MPera SEkstrand MAmatriain XO'Donovan J(2018)Query-based simple and scalable recommender systems with apache hivemallProceedings of the 12th ACM Conference on Recommender Systems10.1145/3240323.3241592(502-503)Online publication date: 27-Sep-2018
https://dl.acm.org/doi/10.1145/3240323.3241592
Aly AHammad MAhmed AChoudhary AWu KDong B(2017)SHRecProceedings of the 29th International Conference on Scientific and Statistical Database Management10.1145/3085504.3085523(1-11)Online publication date: 27-Jun-2017
https://dl.acm.org/doi/10.1145/3085504.3085523
Milo TSomech AÖzcan FKoutrika GMadden S(2016)REACTProceedings of the 2016 International Conference on Management of Data10.1145/2882903.2899392(2137-2140)Online publication date: 26-Jun-2016
https://dl.acm.org/doi/10.1145/2882903.2899392
Das MDas G(2015)Structured analytics in social mediaProceedings of the VLDB Endowment10.14778/2824032.28241358:12(2046-2047)Online publication date: 1-Aug-2015
https://dl.acm.org/doi/10.14778/2824032.2824135
Ayala VPrzyjaciel-Zablocki MHornung TSchätzle ALausen G(2014)Extending SPARQL for RecommendationsProceedings of Semantic Web Information Management on Semantic Web Information Management10.1145/2630602.2630604(1-8)Online publication date: 21-Jun-2014
https://dl.acm.org/doi/10.1145/2630602.2630604
Lacic EKowald DParra DKahr MTrattner CChung CBroder AShim KSuel T(2014)Towards a scalable social recommender engine for online marketplacesProceedings of the 23rd International Conference on World Wide Web10.1145/2567948.2579245(817-822)Online publication date: 7-Apr-2014
https://dl.acm.org/doi/10.1145/2567948.2579245

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RecDB: towards DBMS support for online recommender systems

Adaptive recommendation for preferred information and browsing action based on web-browsing behavior

Action prediction models for recommender systems based on collaborative filtering and sequence mining hybridization

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RecDB: towards DBMS support for online recommender systems

Adaptive recommendation for preferred information and browsing action based on web-browsing behavior

Action prediction models for recommender systems based on collaborative filtering and sequence mining hybridization

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