{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T01:22:17Z","timestamp":1706059337274},"reference-count":11,"publisher":"Association for Computing Machinery (ACM)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2013,8,28]]},"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.14778\/2536274.2536286","type":"journal-article","created":{"date-parts":[[2014,6,24]],"date-time":"2014-06-24T12:17:57Z","timestamp":1403612277000},"page":"1242-1245","source":"Crossref","is-referenced-by-count":17,"title":["RecDB in action"],"prefix":"10.14778","volume":"6","author":[{"given":"Mohamed","family":"Sarwat","sequence":"first","affiliation":[{"name":"University of Minnesota, Minneapolis, MN"}]},{"given":"James","family":"Avery","sequence":"additional","affiliation":[{"name":"University of Minnesota, Minneapolis, MN"}]},{"given":"Mohamed F.","family":"Mokbel","sequence":"additional","affiliation":[{"name":"University of Minnesota, Minneapolis, MN"}]}],"member":"320","published-online":{"date-parts":[[2013,8]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"ICDE","author":"Abbassi Z.","year":"2009","unstructured":"Z. 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In SIGMOD , 2008 . S. Amer-Yahia, A. Galland, J. Stoyanovich, and C. Yu. From del.icio.us to x.qui.site: recommendations in social tagging sites. In SIGMOD, 2008."},{"key":"e_1_2_1_4_1","volume-title":"WWW","author":"Das A.","year":"2007","unstructured":"A. Das Google News Personalization: Scalable Online Collaborative Filtering . In WWW , 2007 . A. Das et al. Google News Personalization: Scalable Online Collaborative Filtering. In WWW, 2007."},{"issue":"10","key":"e_1_2_1_5_1","first-page":"956","article-title":"Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior","volume":"5","author":"Kanagal B.","year":"2012","unstructured":"B. Kanagal , A. Ahmed , S. Pandey , V. Josifovski , J. Yuan , and L. G. Pueyo . Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior . PVLDB , 5 ( 10 ): 956 - 967 , 2012 . B. Kanagal, A. Ahmed, S. Pandey, V. Josifovski, J. Yuan, and L. G. Pueyo. Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior. PVLDB, 5(10):956-967, 2012.","journal-title":"PVLDB"},{"key":"e_1_2_1_6_1","volume-title":"SIGMOD","author":"Koutrika G.","year":"2009","unstructured":"G. Koutrika , B. Bercovitz , and H. Garcia-Molina . FlexRecs: Expressing and Combining Flexible Recommendations . In SIGMOD , 2009 . G. Koutrika, B. Bercovitz, and H. Garcia-Molina. FlexRecs: Expressing and Combining Flexible Recommendations. In SIGMOD, 2009."},{"key":"e_1_2_1_7_1","volume-title":"Amazon.com Recommendations: Item-to-Item Collaborative Filtering","author":"Linden G.","year":"2003","unstructured":"G. Linden , B. Smith , and J. York . Amazon.com Recommendations: Item-to-Item Collaborative Filtering . IEEE Internet Computing , 7(1), 2003 . G. Linden, B. Smith, and J. York. Amazon.com Recommendations: Item-to-Item Collaborative Filtering. IEEE Internet Computing, 7(1), 2003."},{"key":"e_1_2_1_8_1","unstructured":"MovieLens: http:\/\/www.movielens.org\/.  MovieLens: http:\/\/www.movielens.org\/."},{"issue":"6","key":"e_1_2_1_9_1","article-title":"Space efficiency in group recommendation","volume":"19","author":"Roy S. B.","year":"2010","unstructured":"S. B. Roy , S. Amer-Yahia , A. Chawla , G. Das , and C. Yu . Space efficiency in group recommendation . VLDB Journal , 19 ( 6 ), 2010 . S. B. Roy, S. Amer-Yahia, A. Chawla, G. Das, and C. Yu. Space efficiency in group recommendation. VLDB Journal, 19(6), 2010.","journal-title":"VLDB Journal"},{"key":"e_1_2_1_10_1","volume-title":"SIGMOD","author":"Sarwat M.","year":"2012","unstructured":"M. Sarwat , J. Bao , A. Eldawy , J. J. Levandoski , A. Magdy , and M. F. Mokbel . Sindbad: A Location-based Social Networking System . In SIGMOD , 2012 . M. Sarwat, J. Bao, A. Eldawy, J. J. Levandoski, A. Magdy, and M. F. Mokbel. Sindbad: A Location-based Social Networking System. In SIGMOD, 2012."},{"key":"e_1_2_1_11_1","volume-title":"TKDE","author":"Sarwat M.","year":"2013","unstructured":"M. Sarwat , J. J. Levandoski , A. Eldawy , and M. F. Mokbel . LARS*: A Scalable and Efficient Location-Aware Recommender System . In TKDE , 2013 . M. Sarwat, J. J. Levandoski, A. Eldawy, and M. F. Mokbel. LARS*: A Scalable and Efficient Location-Aware Recommender System. In TKDE, 2013."}],"container-title":["Proceedings of the VLDB Endowment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.14778\/2536274.2536286","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T10:53:46Z","timestamp":1672224826000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.14778\/2536274.2536286"}},"subtitle":["recommendation made easy in relational databases"],"short-title":[],"issued":{"date-parts":[[2013,8]]},"references-count":11,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2013,8,28]]}},"alternative-id":["10.14778\/2536274.2536286"],"URL":"https:\/\/doi.org\/10.14778\/2536274.2536286","relation":{},"ISSN":["2150-8097"],"issn-type":[{"value":"2150-8097","type":"print"}],"subject":[],"published":{"date-parts":[[2013,8]]}}}