{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,7]],"date-time":"2026-06-07T07:27:39Z","timestamp":1780817259322,"version":"3.54.1"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2018,5,7]],"date-time":"2018-05-07T00:00:00Z","timestamp":1525651200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100006012","name":"Christian Doppler Forschungsgesellschaft","doi-asserted-by":"publisher","award":["MEVSS"],"award-info":[{"award-number":["MEVSS"]}],"id":[{"id":"10.13039\/501100006012","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004955","name":"\u00d6sterreichische Forschungsf\u00f6rderungsgesellschaft","doi-asserted-by":"publisher","award":["858514"],"award-info":[{"award-number":["858514"]}],"id":[{"id":"10.13039\/501100004955","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.1007\/s11042-018-5980-y","type":"journal-article","created":{"date-parts":[[2018,5,7]],"date-time":"2018-05-07T08:33:10Z","timestamp":1525681990000},"page":"2897-2920","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Predicting user demographics from music listening information"],"prefix":"10.1007","volume":"78","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7463-3976","authenticated-orcid":false,"given":"Thomas","family":"Krismayer","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1706-3406","authenticated-orcid":false,"given":"Markus","family":"Schedl","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3906-1292","authenticated-orcid":false,"given":"Peter","family":"Knees","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3862-1112","authenticated-orcid":false,"given":"Rick","family":"Rabiser","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,5,7]]},"reference":[{"key":"5980_CR1","doi-asserted-by":"publisher","unstructured":"Cheng Z, Shen J (2014) Just-for-me: an adaptive personalization system for location-aware social music recommendation. In: Proceedings of international conference on multimedia retrieval. ACM, New York, ICMR \u201914, pp 185:185\u2013185:192. \n                    https:\/\/doi.org\/10.1145\/2578726.2578751","DOI":"10.1145\/2578726.2578751"},{"key":"5980_CR2","doi-asserted-by":"publisher","unstructured":"Cheng Z, Caverlee J, Lee K (2010) You are where you tweet: a content-based approach to geo-locating twitter users. In: Proceedings of the 19th ACM international conference on information and knowledge management. ACM, pp 759\u2013768. \n                    https:\/\/doi.org\/10.1145\/1871437.1871535","DOI":"10.1145\/1871437.1871535"},{"key":"5980_CR3","doi-asserted-by":"publisher","unstructured":"Cheng Z, Shen J, Mei T (2014) Just-for-me: an adaptive personalization system for location-aware social music recommendation. In: Proceedings of the 37th international ACM SIGIR conference on research & development in information retrieval. ACM, New York, SIGIR \u201914, pp 1267\u20131268. \n                    https:\/\/doi.org\/10.1145\/2600428.2611187","DOI":"10.1145\/2600428.2611187"},{"key":"5980_CR4","doi-asserted-by":"crossref","unstructured":"Cheng Z, Shen J, Hoi SC (2016) On effective personalized music retrieval by exploring online user behaviors. In: Proceedings of the 39th international ACM SIGIR conference on research and development in information retrieval. ACM, pp 125\u2013134","DOI":"10.1145\/2911451.2911491"},{"key":"5980_CR5","doi-asserted-by":"publisher","unstructured":"Cheng Z, Shen J, Nie L, Chua TS, Kankanhalli M (2017) Exploring user-specific information in music retrieval. In: Proceedings of the 40th international ACM SIGIR conference on research and development in information retrieval. ACM, New York, SIGIR \u201917, pp 655\u2013664. \n                    https:\/\/doi.org\/10.1145\/3077136.3080772","DOI":"10.1145\/3077136.3080772"},{"key":"5980_CR6","doi-asserted-by":"publisher","unstructured":"Conover M D, Goncalves B, Ratkiewicz J, Flammini A, Menczer F (2011) Predicting the political alignment of twitter users. In: IEEE Third international conference on privacy, security, risk and trust and IEEE Third international conference on social computing, pp 192\u2013199. \n                    https:\/\/doi.org\/10.1109\/PASSAT\/SocialCom.2011.34","DOI":"10.1109\/PASSAT\/SocialCom.2011.34"},{"key":"5980_CR7","doi-asserted-by":"publisher","unstructured":"de Montjoye Y, Quoidbach J, Robic F, Pentland A (2013) Predicting personality using novel mobile phone-based metrics. In: Proceedings of the 6th international conference on social computing, behavioral- cultural modeling, and prediction. Springer, pp 48\u201355. \n                    https:\/\/doi.org\/10.1007\/978-3-642-37210-0_6","DOI":"10.1007\/978-3-642-37210-0_6"},{"key":"5980_CR8","unstructured":"Fuller J, Hubener L, Kim YS, Lee JH (2016) Elucidating user behavior in music services through persona and gender. In: ISMIR, pp 626\u2013632"},{"key":"5980_CR9","doi-asserted-by":"publisher","unstructured":"Golbeck J, Robles C, Turner K (2011) Predicting personality with social media. In: Proceedings of the 2011 annual conference on human factors in computing systems. ACM, pp 253\u2013262. \n                    https:\/\/doi.org\/10.1145\/1979742.1979614","DOI":"10.1145\/1979742.1979614"},{"key":"5980_CR10","unstructured":"Google (2016) Freebase data dumps. \n                    https:\/\/developers.google.com\/freebase\/data"},{"issue":"1","key":"5980_CR11","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1145\/1656274.1656278","volume":"11","author":"M Hall","year":"2009","unstructured":"Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten I (2009) The WEKA data mining software: an update. SIGKDD Explorations 11(1):10\u201318. \n                    https:\/\/doi.org\/10.1145\/1656274.1656278","journal-title":"SIGKDD Explorations"},{"key":"5980_CR12","doi-asserted-by":"publisher","unstructured":"Hastie T, Tibshirani R (1998) Classification by pairwise coupling. In: Proceedings of the 1997 conference on advances in neural information processing systems 10. MIT Press. \n                    https:\/\/doi.org\/10.1007\/978-3-642-30353-1_3","DOI":"10.1007\/978-3-642-30353-1_3"},{"key":"5980_CR13","doi-asserted-by":"publisher","unstructured":"Holmes G, Hall M, Frank E (1999) Generating rule sets from model trees. In: Proceedings of the 12th Australian joint conference on artificial intelligence. Springer, pp 1\u201312. \n                    https:\/\/doi.org\/10.1007\/3-540-46695-9_1","DOI":"10.1007\/3-540-46695-9_1"},{"issue":"6","key":"5980_CR14","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1037\/h0071325","volume":"24","author":"H Hotelling","year":"1933","unstructured":"Hotelling H (1933) Analysis of a complex of statistical variables into principal components. Journal of Educational Psychology 24(6):417\u2013441, 498\u2013520. \n                    https:\/\/doi.org\/10.1037\/h0071325","journal-title":"Journal of Educational Psychology"},{"key":"5980_CR15","doi-asserted-by":"publisher","unstructured":"Hu Y, Koren Y, Volinsky C (2008) Collaborative filtering for implicit feedback datasets. In: Proceedings of the 2008 8th IEEE international conference on data mining. IEEE, pp 263\u2013272. \n                    https:\/\/doi.org\/10.1109\/ICDM.2008.22","DOI":"10.1109\/ICDM.2008.22"},{"key":"5980_CR16","unstructured":"John G, Langley P (1995) Estimating continuous distributions in bayesian classifiers. In: Proceedings of the 11th conference on uncertainty in artificial intelligence. Morgan Kaufmann, pp 338\u2013345"},{"issue":"3","key":"5980_CR17","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1162\/089976601300014493","volume":"13","author":"S Keerthi","year":"2001","unstructured":"Keerthi S, Shevade S, Bhattacharyya C, Murthy K (2001) Improvements to Platt\u2019s SMO algorithm for SVM classifier design. Neural Comput 13(3):637\u2013649. \n                    https:\/\/doi.org\/10.1162\/089976601300014493","journal-title":"Neural Comput"},{"issue":"15","key":"5980_CR18","doi-asserted-by":"publisher","first-page":"5802","DOI":"10.1073\/pnas.1218772110","volume":"110","author":"M Kosinski","year":"2013","unstructured":"Kosinski M, Stillwell D, Graepel T (2013) Private traits and attributes are predictable from digital records of human behavior. Proc Natl Acad Sci 110(15):5802\u20135805. \n                    https:\/\/doi.org\/10.1073\/pnas.1218772110","journal-title":"Proc Natl Acad Sci"},{"key":"5980_CR19","doi-asserted-by":"publisher","unstructured":"Krismayer T, Schedl M, Knees P, Rabiser R (2017) Prediction of user demographics from music listening habits. In: International workshop on content-based multimedia indexing. ACM, Florence. \n                    https:\/\/doi.org\/10.1145\/3095713.3095722","DOI":"10.1145\/3095713.3095722"},{"issue":"1","key":"5980_CR20","doi-asserted-by":"publisher","first-page":"191","DOI":"10.2307\/2347628","volume":"41","author":"S le Cessie","year":"1992","unstructured":"le Cessie S, van Houwelingen J (1992) Ridge estimators in logistic regression. Appl Stat 41(1):191\u2013201. \n                    https:\/\/doi.org\/10.2307\/2347628","journal-title":"Appl Stat"},{"key":"5980_CR21","doi-asserted-by":"publisher","unstructured":"Liu J, Yang Y (2012) Inferring personal traits from music listening history. In: Proceedings of the 2nd international ACM workshop on music information retrieval with user-centered and multimodal strategies. ACM, pp 31\u201336. \n                    https:\/\/doi.org\/10.1145\/2390848.2390856","DOI":"10.1145\/2390848.2390856"},{"key":"5980_CR22","unstructured":"Malmi E, Weber I (2016) You are what apps you use: demographic prediction based on user\u2019s apps. In: Proceedings of the Tenth international AAAI conference on Web and social media (ICWSM), pp 635\u2013638"},{"issue":"1","key":"5980_CR23","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.jcss.2013.03.008","volume":"80","author":"A Ortigosa","year":"2014","unstructured":"Ortigosa A, Carro RM, Quiroga JI (2014) Predicting user personality by mining social interactions in facebook. J Comput Syst Sci 80(1):57\u201371. \n                    https:\/\/doi.org\/10.1016\/j.jcss.2013.03.008","journal-title":"J Comput Syst Sci"},{"key":"5980_CR24","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, Blondel M, Prettenhofer P, Weiss R, Dubourg V, Vanderplas J, Passos A, Cournapeau D, Brucher M, Perrot M, Duchesnay E (2011) Scikit-learn: machine learning in python. J Mach Learn Res 12:2825\u20132830","journal-title":"J Mach Learn Res"},{"key":"5980_CR25","doi-asserted-by":"publisher","unstructured":"Platt J (1998) Fast training of support vector machines using sequential minimal optimization. In: Schoelkopf B, Burges C, Smola A (eds) Advances in kernel methods - support vector learning. MIT Press. \n                    https:\/\/doi.org\/10.1023\/A:1012474916001","DOI":"10.1023\/A:1012474916001"},{"key":"5980_CR26","unstructured":"Quinlan R (1992) Learning with continuous classes. In: Proceedings of the 5th Australian joint conference on artificial intelligence, World Scientific, pp 343\u2013348"},{"key":"5980_CR27","unstructured":"Salakhutdinov R, Mnih A (2007) Probabilistic matrix factorization. In: Proc. NIPS, Curran associates Inc., USA, pp 1257\u20131264"},{"key":"5980_CR28","doi-asserted-by":"publisher","unstructured":"Schedl M (2016) The LFM-1b dataset for music retrieval and recommendation. In: Proceedings of the ACM international conference on multimedia retrieval. ACM, pp 103\u2013110. \n                    https:\/\/doi.org\/10.1145\/2911996.2912004","DOI":"10.1145\/2911996.2912004"},{"issue":"1","key":"5980_CR29","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1007\/s13735-017-0118-y","volume":"6","author":"M Schedl","year":"2017","unstructured":"Schedl M (2017) Investigating country-specific music preferences and music recommendation algorithms with the LFM-1b dataset. International Journal of Multimedia Information Retrieval 6 (1):71\u201384. \n                    https:\/\/doi.org\/10.1007\/s13735-017-0118-y","journal-title":"International Journal of Multimedia Information Retrieval"},{"key":"5980_CR30","unstructured":"Schedl M, Flexer A (2012) Putting the user in the center of music information retrieval. In: ISMIR, pp 385\u2013390"},{"key":"5980_CR31","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1007\/s10844-013-0247-6","volume":"41","author":"M Schedl","year":"2013","unstructured":"Schedl M, Flexer A, Urbano J (2013) The neglected user in music information retrieval research. J Intell Inf Syst 41:523\u2013539. \n                    https:\/\/doi.org\/10.1007\/s10844-013-0247-6","journal-title":"J Intell Inf Syst"},{"key":"5980_CR32","doi-asserted-by":"publisher","unstructured":"Schedl M, Hauger D, Farrahi K, Tkal\u010di\u010d M (2015) On the influence of user characteristics on music recommendation. In: Proceedings of the 37th European conference on information retrieval. Springer. \n                    https:\/\/doi.org\/10.1007\/978-3-319-16354-3_37","DOI":"10.1007\/978-3-319-16354-3_37"},{"key":"5980_CR33","doi-asserted-by":"publisher","unstructured":"Shevade S, Keerthi S, Bhattacharyya C, Murthy K (2000) Improvements to the SMO algorithm for SVM regression. IEEE Trans Neural Netw (11):1188\u20131193. \n                    https:\/\/doi.org\/10.1109\/72.870050","DOI":"10.1109\/72.870050"},{"key":"5980_CR34","unstructured":"Smola A, Schoelkopf B (1998) A tutorial on support vector regression. Tech. rep., neuroCOLT2 Tech. Rep. NC2-TR-1998-030"},{"key":"5980_CR35","doi-asserted-by":"publisher","unstructured":"Su J, Zhang H, Ling C, Matwin S (2008) Discriminative parameter learning for bayesian networks. In: Proceedings of the 25th international conference on machine learning. ACM, pp 1016\u20131023. \n                    https:\/\/doi.org\/10.1145\/1390156.1390284","DOI":"10.1145\/1390156.1390284"},{"key":"5980_CR36","doi-asserted-by":"publisher","unstructured":"Volkova S, Bachrach Y, Durme BV (2016) Mining user interests to predict perceived psycho-demographic traits on twitter. In: IEEE Second international conference on big data computing service and applications, pp 36\u201343. \n                    https:\/\/doi.org\/10.1109\/BigDataService.2016.28","DOI":"10.1109\/BigDataService.2016.28"},{"key":"5980_CR37","unstructured":"Wang Y, Witten I (1997) Induction of model trees for predicting continuous classes. In: Poster papers of the 9th European conference on machine learning. Springer"},{"key":"5980_CR38","unstructured":"Wu M, Jang J, Lu C (2014) Gender identification and age estimation of users based on music metadata. In: Proceedings of the 15th international society for music information retrieval conference. ISMIR, pp 555\u2013560"},{"issue":"4","key":"5980_CR39","doi-asserted-by":"publisher","first-page":"1036","DOI":"10.1073\/pnas.1418680112","volume":"112","author":"W Youyou","year":"2015","unstructured":"Youyou W, Kosinski M, Stillwell D (2015) Computer-based personality judgments are more accurate than those made by humans. Proc Natl Acad Sci 112 (4):1036\u20131040. \n                    https:\/\/doi.org\/10.1073\/pnas.1418680112","journal-title":"Proc Natl Acad Sci"},{"key":"5980_CR40","doi-asserted-by":"crossref","unstructured":"Zhuang J, Mei T, Hoi SC, Hua XS, Li S (2011) Modeling social strength in social media community via kernel-based learning. In: Proceedings of the 19th ACM international conference on multimedia. ACM, pp 113\u2013122","DOI":"10.1145\/2072298.2072315"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-018-5980-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-5980-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-5980-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,9]],"date-time":"2019-05-09T13:12:12Z","timestamp":1557407532000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-018-5980-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5,7]]},"references-count":40,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2019,2]]}},"alternative-id":["5980"],"URL":"https:\/\/doi.org\/10.1007\/s11042-018-5980-y","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,5,7]]},"assertion":[{"value":"12 October 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 January 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 April 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 May 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}