{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T14:30:29Z","timestamp":1782484229124,"version":"3.54.5"},"reference-count":52,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2012,4,1]],"date-time":"2012-04-01T00:00:00Z","timestamp":1333238400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000145","name":"Division of Information and Intelligent Systems","doi-asserted-by":"publisher","award":["IIS-0546443"],"award-info":[{"award-number":["IIS-0546443"]}],"id":[{"id":"10.13039\/100000145","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Manage. Inf. Syst."],"published-print":{"date-parts":[[2012,4]]},"abstract":"<jats:p>This article investigates the impact of rating data characteristics on the performance of several popular recommendation algorithms, including user-based and item-based collaborative filtering, as well as matrix factorization. We focus on three groups of data characteristics: rating space, rating frequency distribution, and rating value distribution. A sampling procedure was employed to obtain different rating data subsamples with varying characteristics; recommendation algorithms were used to estimate the predictive accuracy for each sample; and linear regression-based models were used to uncover the relationships between data characteristics and recommendation accuracy. Experimental results on multiple rating datasets show the consistent and significant effects of several data characteristics on recommendation accuracy.<\/jats:p>","DOI":"10.1145\/2151163.2151166","type":"journal-article","created":{"date-parts":[[2014,4,23]],"date-time":"2014-04-23T13:52:04Z","timestamp":1398261124000},"page":"1-17","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":103,"title":["Impact of data characteristics on recommender systems performance"],"prefix":"10.1145","volume":"3","author":[{"given":"Gediminas","family":"Adomavicius","sequence":"first","affiliation":[{"name":"University of Minnesota"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingjing","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Minnesota"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2012,4,10]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.99"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2007.07.024"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/245108.245124"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1367497.1367693"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00379115"},{"key":"e_1_2_1_6_1","volume-title":"Proceedings of the International SIGKDD Conference on Knowledge Discovery and Data Mining Workshop.","author":"Bennett J."},{"key":"e_1_2_1_7_1","volume-title":"Proceedings of the 15th International Conference on Machine Learning (ICML'98)","author":"Billsus D."},{"key":"e_1_2_1_8_1","volume-title":"Proceedings of the 14th Annual Conference on Uncertainty in Artificial Intelligence. Morgan Kaufmann, 43--52","author":"Breese J. S."},{"key":"e_1_2_1_9_1","volume-title":"Proceedings of the ACM SIGIR Workshop on Recommender Systems: Algorithms and Evaluation.","author":"Delgado J."},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/963770.963776"},{"key":"e_1_2_1_11_1","unstructured":"Dubin R. 1969. Theory Building. The Free Press New York.  Dubin R. 1969. Theory Building. The Free Press New York."},{"key":"e_1_2_1_12_1","unstructured":"Flynn L. J. 2006. Like this&quest; You'll hate that. (Not all web recommendations are welcome.). New York Times (1\/23\/06).  Flynn L. J. 2006. Like this&quest; You'll hate that. (Not all web recommendations are welcome.). New York Times (1\/23\/06)."},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1093\/bjps\/45.1.1"},{"key":"e_1_2_1_14_1","unstructured":"Funk S. 2006. Netflix update: Try this at home. http:\/\/sifter.org\/simon\/journal\/20061211.html. (Last accessed 11\/06).  Funk S. 2006. Netflix update: Try this at home. http:\/\/sifter.org\/simon\/journal\/20061211.html. (Last accessed 11\/06)."},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.2307\/2223319"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011419012209"},{"key":"e_1_2_1_17_1","volume-title":"Proceedings of the 16th National Conference on Artificial Intelligence. 439--446","author":"Good N."},{"key":"e_1_2_1_18_1","unstructured":"GroupLens. 2006. MovieLens datasets. http\/\/www.grouplens.org\/node\/73. (Last accessed 1\/12).  GroupLens. 2006. MovieLens datasets. http\/\/www.grouplens.org\/node\/73. (Last accessed 1\/12)."},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000035471.28235.6d"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/963770.963775"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1287\/ijoc.1100.0385"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/312624.312682"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/358916.358995"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/963770.963772"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/502585.502627"},{"key":"e_1_2_1_26_1","unstructured":"Koren Y. 2009. The BellKor solution to the Netflix grand prize. http:\/\/www.netflixprize.com\/assets\/GrandPrize2009_BPC_BellKor.pdf. (Last accessed 4\/11).  Koren Y. 2009. The BellKor solution to the Netflix grand prize. http:\/\/www.netflixprize.com\/assets\/GrandPrize2009_BPC_BellKor.pdf. (Last accessed 4\/11)."},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401944"},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/1352793.1352837"},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2019618.2019625"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2003.1167344"},{"key":"e_1_2_1_32_1","unstructured":"Mitchell T. 1997. Machine Learnning 1st Ed. McGraw-Hill Higher Education New York NY.   Mitchell T. 1997. Machine Learnning 1st Ed. McGraw-Hill Higher Education New York NY."},{"key":"e_1_2_1_33_1","volume-title":"Proceedings of the 15th International Conference on Machine Learning.","author":"Nakamura A."},{"key":"e_1_2_1_34_1","doi-asserted-by":"crossref","unstructured":"Pareto V. 1964. Cours d'\u00c9conomie Politique Nouvelle Ed. G.-H. Bousquet et G. Busino eds. Librairie Droz Geneva 299--345.  Pareto V. 1964. Cours d'\u00c9conomie Politique Nouvelle Ed. G.-H. Bousquet et G. Busino eds. Librairie Droz Geneva 299--345.","DOI":"10.3917\/droz.paret.1964.01"},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150490"},{"key":"e_1_2_1_36_1","volume-title":"Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 39--42","author":"Paterek A.","year":"2007"},{"key":"e_1_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1006544522159"},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2019618.2019621"},{"key":"e_1_2_1_39_1","unstructured":"Porter J. 2006. Watch and learn: How recommendation systems are redefining the web. User interface engineering. http:\/\/www.uie.com\/articles\/recommendation_systems\/. (Last accessed 4\/11).  Porter J. 2006. Watch and learn: How recommendation systems are redefining the web. User interface engineering. http:\/\/www.uie.com\/articles\/recommendation_systems\/. (Last accessed 4\/11)."},{"key":"e_1_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/192844.192905"},{"key":"e_1_2_1_41_1","unstructured":"Roettgers J. 2010. Warner Bros.-Netflix deal is all about the long tail. http:\/\/newteevee.com\/2010\/01\/08\/warner-bros-netflix-deal-is-all-about-the-long-tail. (Last accessed 1\/10).  Roettgers J. 2010. Warner Bros.-Netflix deal is all about the long tail. http:\/\/newteevee.com\/2010\/01\/08\/warner-bros-netflix-deal-is-all-about-the-long-tail. (Last accessed 1\/10)."},{"key":"e_1_2_1_42_1","volume-title":"Proceedings of the Advances in Neural Information Processing Systems (NIPS'07)","author":"Salakhutdinov R."},{"key":"e_1_2_1_43_1","volume-title":"Proceedings of the ACM WebKDD Web Mining for E-Commerce Workshop.","author":"Sarwar B."},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372071"},{"key":"e_1_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/289444.289509"},{"key":"e_1_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/564376.564421"},{"key":"e_1_2_1_47_1","unstructured":"Schonfeld E. 2007. Rethinking the online recommendation engine. CNNMoney. http:\/\/money.cnn.com\/magazines\/business2\/business2_archive\/2007\/07\/01\/100117056\/index.htm. (Last accessed 4\/11).  Schonfeld E. 2007. Rethinking the online recommendation engine. CNNMoney. http:\/\/money.cnn.com\/magazines\/business2\/business2_archive\/2007\/07\/01\/100117056\/index.htm. (Last accessed 4\/11)."},{"key":"e_1_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1948.tb01338.x"},{"key":"e_1_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/223904.223931"},{"key":"e_1_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.5555\/2208923.2208926"},{"key":"e_1_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1038\/163688a0"},{"key":"e_1_2_1_52_1","doi-asserted-by":"crossref","unstructured":"Sun M. 2010. How does variance of product ratings matter&quest; http:\/\/ssrn.com\/abstract=1400173.  Sun M. 2010. How does variance of product ratings matter&quest; http:\/\/ssrn.com\/abstract=1400173.","DOI":"10.2139\/ssrn.1400173"}],"container-title":["ACM Transactions on Management Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2151163.2151166","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2151163.2151166","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T10:06:19Z","timestamp":1750241179000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2151163.2151166"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,4]]},"references-count":52,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2012,4]]}},"alternative-id":["10.1145\/2151163.2151166"],"URL":"https:\/\/doi.org\/10.1145\/2151163.2151166","relation":{},"ISSN":["2158-656X","2158-6578"],"issn-type":[{"value":"2158-656X","type":"print"},{"value":"2158-6578","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,4]]},"assertion":[{"value":"2011-04-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2012-01-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2012-04-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}