Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
IEEE Transactions on Knowledge and Data Engineering
Google news personalization: scalable online collaborative filtering
Proceedings of the 16th international conference on World Wide Web
From del.icio.us to x.qui.site: recommendations in social tagging sites
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
On Efficient Recommendations for Online Exchange Markets
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
FlexRecs: expressing and combining flexible recommendations
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Space efficiency in group recommendation
The VLDB Journal — The International Journal on Very Large Data Bases
Sindbad: a location-based social networking system
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Supercharging recommender systems using taxonomies for learning user purchase behavior
Proceedings of the VLDB Endowment
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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.