{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T16:53:27Z","timestamp":1779382407137,"version":"3.53.1"},"publisher-location":"Boston, MA","reference-count":150,"publisher":"Springer US","isbn-type":[{"value":"9781489976369","type":"print"},{"value":"9781489976376","type":"electronic"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-1-4899-7637-6_13","type":"book-chapter","created":{"date-parts":[[2015,11,17]],"date-time":"2015-11-17T10:29:41Z","timestamp":1447756181000},"page":"453-492","source":"Crossref","is-referenced-by-count":69,"title":["Music Recommender Systems"],"prefix":"10.1007","author":[{"given":"Markus","family":"Schedl","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Knees","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brian","family":"McFee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dmitry","family":"Bogdanov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marius","family":"Kaminskas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","reference":[{"key":"13_CR1","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1609\/aimag.v32i3.2364","volume":"32","author":"G. Adomavicius","year":"2011","unstructured":"Adomavicius, G., Mobasher, B., Ricci, F., Tuzhilin, A.: Context-aware recommender systems. AI Magazine 32, 67\u201380 (2011)","journal-title":"AI Magazine"},{"key":"13_CR2","unstructured":"Aiolli, F.: A preliminary study on a recommender system for the million songs dataset challenge. Preference Learning: Problems and Applications in AI p.\u00a01 (2012)"},{"key":"13_CR3","doi-asserted-by":"crossref","unstructured":"Aizenberg, N., Koren, Y., Somekh, O.: Build your own music recommender by modeling internet radio streams. In: Proceedings of the 21st International Conference on World Wide Web, pp.\u00a01\u201310. ACM, New York, NY, USA (2012)","DOI":"10.1145\/2187836.2187838"},{"key":"13_CR4","volume-title":"Music Playlist Generation Based on Global and Transitional Constraints","author":"M. Alghoniemy","year":"2003","unstructured":"Alghoniemy, M., Tewfik, A.: Music Playlist Generation Based on Global and Transitional Constraints. In: IEEE Transactions on Multimedia (2003)"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Ankolekar, A., Sandholm, T.: Foxtrot: a soundtrack for where you are. In: Proceedings of Interacting with Sound Workshop: Exploring Context-Aware, Local and Social Audio Applications, pp.\u00a026\u201331 (2011)","DOI":"10.1145\/2019335.2019341"},{"key":"13_CR6","volume-title":"Sounds like teen spirit: Computational insights into the grounding of everyday musical terms. In: J. Minett, W. Wang (eds.) Language, Evolution and the Brain, Frontiers in Linguistics, pp. 35\u201364","author":"J.J. Aucouturier","year":"2009","unstructured":"Aucouturier, J.J.: Sounds like teen spirit: Computational insights into the grounding of everyday musical terms. In: J.\u00a0Minett, W.\u00a0Wang (eds.) Language, Evolution and the Brain, Frontiers in Linguistics, pp.\u00a035\u201364. Taipei: Academia Sinica Press (2009)"},{"key":"13_CR7","unstructured":"Aucouturier, J.J., Pachet, F.: Scaling Up Music Playlist Generation. In: Proceedings of the IEEE International Conference on Multimedia and Expo (ICME 2002), pp.\u00a0105\u2013108. Lausanne, Switzerland (2002)"},{"issue":"6","key":"13_CR8","doi-asserted-by":"publisher","first-page":"1028","DOI":"10.1109\/TMM.2005.858380","volume":"7","author":"J.J. Aucouturier","year":"2005","unstructured":"Aucouturier, J.J., Pachet, F., Sandler, M.: \u201cThe way it sounds\u201d: timbre models for analysis and retrieval of music signals. IEEE Trans. on Multimedia 7(6), 1028\u20131035 (2005).","journal-title":"IEEE Trans. on Multimedia"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.: DBpedia: A nucleus for a web of open data. In: ISWC\u201908, pp.\u00a0722\u2013735 (2008)","DOI":"10.1007\/978-3-540-76298-0_52"},{"key":"13_CR10","unstructured":"Baccigalupo, C.G.: Poolcasting: an intelligent technique to customise musical programmes for their audience. Ph.D. thesis, Universitat Aut\u00f2noma de Barcelona (2009)"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Baltrunas, L., Kaminskas, M., Ludwig, B., Moling, O., Ricci, F., L\u00fcke, K.H., Schwaiger, R.: InCarMusic: Context-Aware Music Recommendations in a Car. In: International Conference on Electronic Commerce and Web Technologies (EC-Web). Toulouse, France (2011)","DOI":"10.1007\/978-3-642-23014-1_8"},{"key":"13_CR12","unstructured":"Barrington, L., Oda, R., Lanckriet, G.: Smarter than genius? Human evaluation of music recommender systems. In: Proceedings of the 10th International Conference on Music Information Retrieval (ISMIR\u201909), pp.\u00a0357\u2013362 (2009)"},{"issue":"2","key":"13_CR13","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1080\/09298210802479250","volume":"37","author":"T. Bertin-Mahieux","year":"2008","unstructured":"Bertin-Mahieux, T., Eck, D., Maillet, F., Lamere, P.: Autotagger: A model for predicting social tags from acoustic features on large music databases. Journal of New Music Research 37(2), 115\u2013135 (2008).","journal-title":"Journal of New Music Research"},{"key":"13_CR14","unstructured":"Bertin-Mahieux, T., Ellis, D.P., Whitman, B., Lamere, P.: The million song dataset. In: Proceedings of the 12th International Society for Music Information Retrieval Conference, pp.\u00a0591\u2013596. Miami, USA (2011)"},{"key":"13_CR15","first-page":"993","volume":"3","author":"D.M. Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet Allocation. Machine Learning Research 3, 993\u20131022 (2003)","journal-title":"Latent Dirichlet Allocation. Machine Learning Research"},{"key":"13_CR16","unstructured":"Bogdanov, D.: From music similarity to music recommendation: Computational approaches based in audio features and metadata. Ph.D. thesis, Universitat Pompeu Fabra, Barcelona, Spain (2013)"},{"issue":"1","key":"13_CR17","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.ipm.2012.06.004","volume":"49","author":"D. Bogdanov","year":"2013","unstructured":"Bogdanov, D., Haro, M., Fuhrmann, F., Xamb\u00f3, A., G\u00f3mez, E., Herrera, P.: Semantic audio content-based music recommendation and visualization based on user preference examples. Information Processing & Management 49(1), 13\u201333 (2013).","journal-title":"Information Processing & Management"},{"key":"13_CR18","unstructured":"Bogdanov, D., Herrera, P.: How much metadata do we need in music recommendation? a subjective evaluation using preference sets. In: Int. Society for Music Information Retrieval Conf. (ISMIR\u201911), pp.\u00a097\u2013102 (2011)"},{"key":"13_CR19","unstructured":"Bogdanov, D., Herrera, P.: Taking advantage of editorial metadata to recommend music. In: Int. Symp. on Computer Music Modeling and Retrieval (CMMR\u201912) (2012)."},{"issue":"4","key":"13_CR20","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1109\/TMM.2011.2125784","volume":"13","author":"D. Bogdanov","year":"2011","unstructured":"Bogdanov, D., Serr\u00e0, J., Wack, N., Herrera, P., Serra, X.: Unifying Low-Level and High-Level Music Similarity Measures. IEEE Transactions on Multimedia 13(4), 687\u2013701 (2011)","journal-title":"IEEE Transactions on Multimedia"},{"key":"13_CR21","unstructured":"Boland, D., Murray-Smith, R.: Information-theoretic Measures of Music Listening Behaviour. In: Proceedings of the 15th International Society for Music Information Retrieval Conference (ISMIR 2014). Taipei, Taiwan (2014)"},{"key":"13_CR22","unstructured":"Bonnin, G., Jannach, D.: Evaluating the quality of playlists based on hand-crafted samples. In: 14th International Society for Music Information Retrieval Conference, ISMIR (2013)"},{"key":"13_CR23","unstructured":"Bosteels, K., Pampalk, E., Kerre, E.: Evaluating and analysing dynamic playlist generation heuristics using radio logs and fuzzy set theory. In: Proceedings of the 10th International Society for Music Information Retrieval Conference, ISMIR (2009)"},{"issue":"1","key":"13_CR24","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/s13735-012-0032-2","volume":"2","author":"M. Braunhofer","year":"2013","unstructured":"Braunhofer, M., Kaminskas, M., Ricci, F.: Location-aware music recommendation. International Journal of Multimedia Information Retrieval 2(1), 31\u201344 (2013).","journal-title":"International Journal of Multimedia Information Retrieval"},{"key":"13_CR25","doi-asserted-by":"crossref","unstructured":"Bu, J., Tan, S., Chen, C., Wang, C., Wu, H., Zhang, L., He, X.: Music recommendation by unified hypergraph: combining social media information and music content. In: ACM Int. Conf. on Multimedia (MM\u201910), pp.\u00a0391\u2013400 (2010).","DOI":"10.1145\/1873951.1874005"},{"issue":"4","key":"13_CR26","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1023\/A:1021240730564","volume":"12","author":"R. Burke","year":"2002","unstructured":"Burke, R.: Hybrid recommender systems: Survey and experiments. User Modeling and User-Adapted Interaction 12(4), 331\u2013370 (2002)","journal-title":"User Modeling and User-Adapted Interaction"},{"key":"13_CR27","doi-asserted-by":"crossref","unstructured":"Burke, R.: Hybrid web recommender systems. In: The adaptive web, pp.\u00a0377\u2013408 (2007)","DOI":"10.1007\/978-3-540-72079-9_12"},{"key":"13_CR28","doi-asserted-by":"crossref","unstructured":"Cai, R., Zhang, C., Wang, C., Zhang, L., Ma, W.Y.: Musicsense: contextual music recommendation using emotional allocation modeling. In: MULTIMEDIA \u201807: Proceedings of the 15th international conference on Multimedia, pp.\u00a0553\u2013556. ACM, New York, NY, USA (2007)","DOI":"10.1145\/1291233.1291369"},{"issue":"4","key":"13_CR29","doi-asserted-by":"publisher","first-page":"668","DOI":"10.1109\/JPROC.2008.916370","volume":"96","author":"M.A. Casey","year":"2008","unstructured":"Casey, M.A., Veltkamp, R., Goto, M., Leman, M., Rhodes, C., Slaney, M.: Content-based music information retrieval: Current directions and future challenges. Proceedings of the IEEE 96(4), 668\u2013696 (2008)","journal-title":"Proceedings of the IEEE"},{"key":"13_CR30","doi-asserted-by":"publisher","first-page":"668","DOI":"10.1109\/JPROC.2008.916370","volume":"96","author":"M.A. Casey","year":"2008","unstructured":"Casey, M.A., Veltkamp, R., Goto, M., Leman, M., Rhodes, C., Slaney, M.: Content-Based Music Information Retrieval: Current Directions and Future Challenges. Proceedings of the IEEE 96, 668\u2013696 (2008)","journal-title":"Proceedings of the IEEE"},{"key":"13_CR31","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-13287-2","volume-title":"Music Recommendation and Discovery \u2013 The Long Tail, Long Fail, and Long Play in the Digital Music Space","author":"\u00d2. Celma","year":"2010","unstructured":"Celma, \u00d2.: Music Recommendation and Discovery \u2013 The Long Tail, Long Fail, and Long Play in the Digital Music Space. Springer, Berlin, Germany (2010)"},{"key":"13_CR32","doi-asserted-by":"crossref","unstructured":"Celma, O., Herrera, P.: A new approach to evaluating novel recommendations. In: ACM Conf. on Recommender Systems (RecSys\u201908), pp.\u00a0179\u2013186 (2008)","DOI":"10.1145\/1454008.1454038"},{"key":"13_CR33","unstructured":"Celma, O., Herrera, P., Serra, X.: Bridging the music semantic gap. In: ESWC 2006 Workshop on Mastering the Gap: From Information Extraction to Semantic Representation (2006). Available online: http:\/\/mtg.upf.edu\/node\/874"},{"key":"13_CR34","doi-asserted-by":"crossref","unstructured":"Celma, O., Lamere, P.: Music recommendation and discovery revisited. In: Proceedings of the 5th ACM Conference on Recommender Systems (RecSys 2011), pp.\u00a07\u20138. ACM, New York, NY, USA (2011)","DOI":"10.1145\/2043932.2043936"},{"key":"13_CR35","unstructured":"Celma, O., Ram\u00edrez, M., Herrera, P.: FOAFing the music: A music recommendation system based on RSS feeds and user preferences. In: Int. Conf. on Music Information Retrieval (ISMIR\u201905) (2005)"},{"key":"13_CR36","unstructured":"Cunningham, S., Caulder, S., Grout, V.: Saturday Night or Fever? Context-Aware Music Playlists. In: Proceedings of the 3rd International Audio Mostly Conference of Sound in Motion (2008)"},{"key":"13_CR37","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9","volume":"41","author":"S. Deerwester","year":"1990","unstructured":"Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., Harshman, R.: Indexing by latent semantic analysis. Journal of the American Society for Information Science 41, 391\u2013407 (1990)","journal-title":"Journal of the American Society for Information Science"},{"key":"13_CR38","unstructured":"Dey, A., Abowd, G.: Towards a better understanding of context and context-awareness. In: CHI 2000 workshop on the what, who, where, when, and how of context-awareness, vol.\u00a04, pp.\u00a01\u20136 (2000)"},{"key":"13_CR39","doi-asserted-by":"crossref","unstructured":"Diaz-Aviles, E., Georgescu, M., Nejdl, W.: Swarming to Rank for Recommender Systems. In: Proceedings of the 6th ACM Conference on Recommender Systems. Dublin, Ireland (2012)","DOI":"10.1145\/2365952.2366001"},{"key":"13_CR40","unstructured":"Dieleman, S., Brakel, P., Schrauwen, B.: Audio-based music classification with a pretrained convolutional network. In: Proceedings of the 12th International Society for Music Information Retrieval Conference (ISMIR 2011). Miami, FL, USA (2011)"},{"key":"13_CR41","doi-asserted-by":"crossref","unstructured":"Donaldson, J.: A Hybrid Social-Acoustic Recommendation System for Popular Music. In: Proceedings of the ACM Recommender Systems (RecSys 2007). Minneapolis, MN, USA (2007)","DOI":"10.1145\/1297231.1297271"},{"key":"13_CR42","unstructured":"Dopler, M., Schedl, M., Pohle, T., Knees, P.: Accessing Music Collections via Representative Cluster Prototypes in a Hierarchical Organization Scheme. In: Proceedings of the 9th International Conference on Music Information Retrieval (ISMIR\u201908). Philadelphia, PA, USA (2008)"},{"key":"13_CR43","doi-asserted-by":"crossref","unstructured":"Dror, G., Koenigstein, N., Koren, Y.: Yahoo! Music Recommendations: Modeling Music Ratings with Temporal Dynamics and Item Taxonomy. In: Proceedings of the 5th ACM Conference on Recommender Systems (RecSys 2011). Chicago, USA (2011)","DOI":"10.1145\/2043932.2043964"},{"key":"13_CR44","unstructured":"Dror, G., Koenigstein, N., Koren, Y., Weimer, M.: The Yahoo! Music Dataset and KDD-Cup\u201911. Journal of Machine Learning Research: Proceedings of KDD-Cup 2011 competition 18, 3\u201318 (2012)"},{"key":"13_CR45","doi-asserted-by":"crossref","unstructured":"Elliott, G.T., Tomlinson, B.: Personalsoundtrack: context-aware playlists that adapt to user pace. In: CHI \u201806: CHI \u201806 extended abstracts on Human factors in computing systems, pp.\u00a0736\u2013741. ACM, New York, NY, USA (2006)","DOI":"10.1145\/1125451.1125599"},{"key":"13_CR46","unstructured":"Farrahi, K., Schedl, M., Vall, A., Hauger, D., Tkal\u010di\u010d, M.: Impact of Listening Behavior on Music Recommendation. In: Proceedings of the 15th International Society for Music Information Retrieval Conference (ISMIR 2014). Taipei, Taiwan (2014)"},{"key":"13_CR47","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez-Tob\u00edas, I., Cantador, I., Kaminskas, M., Ricci, F.: Knowledge-based music retrieval for places of interest. In: Proceedings of the 2nd International Workshop on Music Information Retrieval with User-Centered and Multimodal Strategies (MIRUM), pp.\u00a019\u201324 (2012)","DOI":"10.1145\/2390848.2390854"},{"key":"13_CR48","unstructured":"Fields, B.: Contextualize your listening: the playlist as recommendation engine. Ph.D. thesis, Department of Computing Goldsmiths, University of London (2011)"},{"key":"13_CR49","unstructured":"Fields, B., Rhodes, C., Casey, M., Jacobson, K.: Social playlists and bottleneck measurements: Exploiting musician social graphs using content-based dissimilarity and pairwise maximum flow values. In: ISMIR, pp.\u00a0559\u2013564 (2008)"},{"key":"13_CR50","doi-asserted-by":"crossref","unstructured":"Figueiredo, F., Almeida, J.M., Matsubara, Y., Ribeiro, B., Faloutsos, C.: Revisit behavior in social media: The phoenix-r model and discoveries. In: Proceedings of the 7th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014). Nancy, France (2014)","DOI":"10.1007\/978-3-662-44848-9_25"},{"key":"13_CR51","unstructured":"Flexer, A., Schnitzer, D., Gasser, M., Widmer, G.: Playlist generation using start and end songs. In: ISMIR, pp.\u00a0173\u2013178 (2008)"},{"issue":"1","key":"13_CR52","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1080\/00224545.1940.9713808","volume":"12","author":"J. Foley Jr","year":"1940","unstructured":"Foley\u00a0Jr, J.: The occupational conditioning of preferential auditory tempo: a contribution toward an empirical theory of aesthetics. The Journal of Social Psychology 12(1), 121\u2013129 (1940)","journal-title":"The Journal of Social Psychology"},{"key":"13_CR53","doi-asserted-by":"crossref","unstructured":"Goel, S., Broder, A., Gabrilovich, E., Pang, B.: Anatomy of the Long Tail: Ordinary People with Extraordinary Tastes. In: Proceedings of the 3rd ACM International Conference on Web Search and Data Mining (WSDM 2010). New York, USA (2010)","DOI":"10.1145\/1718487.1718513"},{"key":"13_CR54","doi-asserted-by":"crossref","unstructured":"Green, S.J., Lamere, P., Alexander, J., Maillet, F., Kirk, S., Holt, J., Bourque, J., Mak, X.W.: Generating transparent, steerable recommendations from textual descriptions of items. In: ACM Conf. on Recommender Systems (RecSys\u201909), pp.\u00a0281\u2013284 (2009)","DOI":"10.1145\/1639714.1639768"},{"key":"13_CR55","doi-asserted-by":"crossref","unstructured":"Grimaldi, M., Cunningham, P.: Experimenting with music taste prediction by user profiling. In: ACM SIGMM Int. Workshop on Multimedia Information Retrieval (MIR\u201904), pp.\u00a0173\u2013180 (2004)","DOI":"10.1145\/1026711.1026740"},{"key":"13_CR56","doi-asserted-by":"crossref","unstructured":"Hariri, N., Mobasher, B., Burke, R.: Context-aware music recommendation based on latenttopic sequential patterns. In: Proceedings of the sixth ACM conference on Recommender systems, pp.\u00a0131\u2013138. ACM (2012)","DOI":"10.1145\/2365952.2365979"},{"key":"13_CR57","unstructured":"Hauger, D., Schedl, M., Ko\u0161ir, A., Tkal\u010di\u010d, M.: The Million Musical Tweets Dataset: What Can We Learn From Microblogs. In: Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR 2013). Curitiba, Brazil (2013)"},{"key":"13_CR58","doi-asserted-by":"crossref","unstructured":"Haupt, J.: Last.fm: People-powered online radio. Music Reference Services Quarterly 12(1), 23\u201324 (2009).","DOI":"10.1080\/10588160902816702"},{"issue":"1","key":"13_CR59","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1145\/963770.963772","volume":"22","author":"J.L. Herlocker","year":"2004","unstructured":"Herlocker, J.L., Konstan, J.A., Terveen, L.G., Riedl, J.T.: Evaluating collaborative filtering recommender systems. ACM Trans. on Information Systems 22(1), 5\u201353 (2004).","journal-title":"ACM Trans. on Information Systems"},{"key":"13_CR60","unstructured":"Herrera, P., Resa, Z., Sordo, M.: Rocking around the clock eight days a week: an exploration of temporal patterns of music listening. In: ACM Conf. on Recommender Systems. Workshop on Music Recommendation and Discovery (Womrad 2010), pp.\u00a07\u201310 (2010)"},{"key":"13_CR61","doi-asserted-by":"crossref","unstructured":"Hinton, G., Deng, L., Yu, D., Dahl, G.E., rahman Mohamed, A., Jaitly, N., Senior, A., Vanhoucke, V., Nguyen, P., Sainath, T.N.,, Kingsbury, B.: Deep neural networks for acoustic modeling in speech recognition. IEEE Signal Processing Magazine 29(6), 82\u201397 (2012)","DOI":"10.1109\/MSP.2012.2205597"},{"key":"13_CR62","doi-asserted-by":"crossref","unstructured":"Hu, Y., Koren, Y., Volinsky, C.: Collaborative filtering for implicit feedback datasets. In: Proceedings of the 2008 Eighth IEEE International Conference on Data Mining, pp.\u00a0263\u2013272. IEEE Computer Society, Washington, DC, USA (2008)","DOI":"10.1109\/ICDM.2008.22"},{"key":"13_CR63","doi-asserted-by":"crossref","unstructured":"Hu, Y., Koren, Y., Volinsky, C.: Collaborative filtering for implicit feedback datasets. In: Eighth IEEE International Conference on Data Mining, ICDM, pp.\u00a0263\u2013272 (2008)","DOI":"10.1109\/ICDM.2008.22"},{"key":"13_CR64","unstructured":"Hu, Y., Ogihara, M.: Nextone player: A music recommendation system based on user behaviour. In: Int. Society for Music Information Retrieval Conf. (ISMIR\u201911) (2011)"},{"key":"13_CR65","doi-asserted-by":"crossref","unstructured":"Hu, Y., Ogihara, M.: Genre classification for million song dataset using confidence-based classifiers combination. In: Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (2012)","DOI":"10.1145\/2348283.2348480"},{"key":"13_CR66","unstructured":"Humphrey, E.J., Nieto, O., Bello, J.P.: Data driven and discriminative projections for large-scale cover song identification. In: Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR 2013). Curitiba, Brazil (2013)"},{"key":"13_CR67","volume-title":"User technology adoption issues in recommender systems","author":"N. Jones","year":"2007","unstructured":"Jones, N., Pu, P.: User technology adoption issues in recommender systems. In: Networking and Electronic Commerce Research Conf. (2007)"},{"key":"13_CR68","doi-asserted-by":"crossref","unstructured":"Kaminskas, M., Ricci, F., Schedl, M.: Location-aware Music Recommendation Using Auto-Tagging and Hybrid Matching. In: Proceedings of the 7th ACM Conference on Recommender Systems (RecSys 2013). Hong Kong, China (2013)","DOI":"10.1145\/2507157.2507180"},{"key":"13_CR69","doi-asserted-by":"crossref","unstructured":"Knees, P., Pohle, T., Schedl, M., Widmer, G.: Combining Audio-based Similarity with Web-based Data to Accelerate Automatic Music Playlist Generation. In: Proceedings of the 8th ACM SIGMM International Workshop on Multimedia Information Retrieval (MIR\u201906). Santa Barbara, CA, USA (2006)","DOI":"10.1145\/1178677.1178699"},{"key":"13_CR70","doi-asserted-by":"crossref","unstructured":"Knees, P., Schedl, M.: A survey of music similarity and recommendation from music context data. ACM Transactions on Multimedia Computing, Communications and Applications 10(1), 2:1\u20132:21 (2013)","DOI":"10.1145\/2542205.2542206"},{"key":"13_CR71","doi-asserted-by":"crossref","unstructured":"Koenigstein, N., Shavitt, Y., Zilberman, N.: Predicting billboard success using data-mining in p2p networks. In: Multimedia, 2009. ISM\u201909. 11th IEEE International Symposium on, pp.\u00a0465\u2013470. IEEE (2009)","DOI":"10.1109\/ISM.2009.73"},{"key":"13_CR72","doi-asserted-by":"crossref","unstructured":"Konecni, V.: Social interaction and musical preference. The psychology of music pp.\u00a0497\u2013516 (1982)","DOI":"10.1016\/B978-0-12-213562-0.50021-8"},{"key":"13_CR73","doi-asserted-by":"crossref","unstructured":"Koren, Y., Sill, J.: OrdRec: an Ordinal Model for Predicting Personalized Item Rating Distributions. In: Proceedings of the 5th ACM Conference on Recommender Systems (RecSys 2011). Chicago, USA (2011)","DOI":"10.1145\/2043932.2043956"},{"issue":"2","key":"13_CR74","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1080\/09298210802479292","volume":"37","author":"M. Levy","year":"2008","unstructured":"Levy, M., Sandler, M.: Learning latent semantic models for music from social tags. Journal of New Music Research 37(2), 137\u2013150 (2008)","journal-title":"Journal of New Music Research"},{"key":"13_CR75","doi-asserted-by":"crossref","unstructured":"Li, C.T., Shan, M.K.: Emotion-based impressionism slideshow with automatic music accompaniment. In: MULTIMEDIA \u201807: Proceedings of the 15th international conference on Multimedia, pp.\u00a0839\u2013842. ACM Press, New York, NY, USA (2007)","DOI":"10.1145\/1291233.1291424"},{"issue":"2","key":"13_CR76","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1016\/j.ipm.2006.07.005","volume":"43","author":"Q. Li","year":"2007","unstructured":"Li, Q., Myaeng, S.H., Kim, B.M.: A probabilistic music recommender considering user opinions and audio features. Information Processing & Management 43(2), 473\u2013487 (2007)","journal-title":"Information Processing & Management"},{"key":"13_CR77","unstructured":"Lim, D., Mcfee, B., Lanckriet, G.R.: Robust structural metric learning. In: S.\u00a0Dasgupta, D.\u00a0Mcallester (eds.) Proceedings of the 30th International Conference on Machine Learning (ICML-13), vol.\u00a028, pp.\u00a0615\u2013623. JMLR Workshop and Conference Proceedings (2013)."},{"key":"13_CR78","unstructured":"Logan, B.: Content-based Playlist Generation: Exploratory Experiments. In: Proceedings of the 3rd International Symposium on Music Information Retrieval (ISMIR 2002), pp.\u00a0295\u2013296. Paris, France (2002)"},{"key":"13_CR79","unstructured":"Logan, B.: Music recommendation from song sets. In: Int. Conf. on Music Information Retrieval (ISMIR\u201904), pp.\u00a0425\u2013428 (2004)"},{"key":"13_CR80","doi-asserted-by":"crossref","unstructured":"Logan, B., Salomon, A.: A music similarity function based on signal analysis. In: IEEE Int. Conf. on Multimedia and Expo (ICME\u201901), p.\u00a0190 (2001).","DOI":"10.1109\/ICME.2001.1237829"},{"issue":"6","key":"13_CR81","doi-asserted-by":"publisher","first-page":"10,035","DOI":"10.1016\/j.eswa.2009.01.074","volume":"36","author":"C.C. Lu","year":"2009","unstructured":"Lu, C.C., Tseng, V.S.: A novel method for personalized music recommendation. Expert Systems with Applications 36(6), 10,035\u201310,044 (2009)","journal-title":"Expert Systems with Applications"},{"key":"13_CR82","unstructured":"Magno, T., Sable, C.: A comparison of signal-based music recommendation to genre labels, collaborative filtering, musicological analysis, human recommendation, and random baseline. In: Int. Conf. on Music Information Retrieval (ISMIR\u201908), pp.\u00a0161\u2013166 (2008)"},{"key":"13_CR83","unstructured":"Maillet, F., Eck, D., Desjardins, G., Lamere, P.: Steerable playlist generation by learning song similarity from radio station playlists. In: Proceedings of the 10th International Conference on Music Information Retrieval (2009)"},{"key":"13_CR84","doi-asserted-by":"crossref","unstructured":"McFee, B., Barrington, L., Lanckriet, G.: Learning content similarity for music recommendation. IEEE Trans. on Audio, Speech, and Language Processing 20(8), 2207\u20132218 (2012).","DOI":"10.1109\/TASL.2012.2199109"},{"key":"13_CR85","doi-asserted-by":"crossref","unstructured":"McFee, B., Bertin-Mahieux, T., Ellis, D., Lanckriet, G.: The million song dataset challenge. In: Proc.\u00a0of the 4th International Workshop on Advances in Music Information Research (AdMIRe) (2012)","DOI":"10.1145\/2187980.2188222"},{"key":"13_CR86","unstructured":"McFee, B., Lanckriet, G.: The Natural Language of Playlists. In: Proceedings of the 12th International Society for Music Information Retrieval Conference (ISMIR). Miami, FL, USA (2011)"},{"key":"13_CR87","unstructured":"McFee, B., Lanckriet, G.: Hypergraph Models of Playlist Dialects. In: Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR 2012). Porto, Portugal (2012)"},{"key":"13_CR88","first-page":"491","volume":"12","author":"B. McFee","year":"2011","unstructured":"McFee, B., Lanckriet, G.R.: Learning multi-modal similarity. Journal of Machine Learning Research 12, 491\u2013523 (2011)","journal-title":"Journal of Machine Learning Research"},{"key":"13_CR89","doi-asserted-by":"crossref","unstructured":"McNee, S., Riedl, J., Konstan, J.: Being accurate is not enough: how accuracy metrics have hurt recommender systems. In: CHI\u201906 extended abstracts on Human Factors in Computing Systems, p.\u00a01101 (2006)","DOI":"10.1145\/1125451.1125659"},{"key":"13_CR90","unstructured":"Mesnage, C.S.: Social shuffle: music discovery with tag navigation and social diffusion. Ph.D. thesis, Universit\u00e0 della Svizzera italiana, Lugano, Switzerland (2011)"},{"key":"13_CR91","doi-asserted-by":"crossref","unstructured":"Mobasher, B., Burke, R., Bhaumik, R., Williams, C.: Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness. ACM Transactions on Internet Technology 7(4) (2007)","DOI":"10.1145\/1278366.1278372"},{"key":"13_CR92","doi-asserted-by":"crossref","unstructured":"Moh, Y., Orbanz, P., Buhmann, J.M.: Music preference learning with partial information. In: IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP\u201908), pp.\u00a02021\u20132024 (2008)","DOI":"10.1109\/ICASSP.2008.4518036"},{"key":"13_CR93","unstructured":"Moore, J.L., Chen, S., Joachims, T., Turnbull, D.: Learning to embed songs and tags for playlist prediction. In: 13th International Society for Music Information Retrieval Conference, ISMIR, pp.\u00a0349\u2013354 (2012)"},{"key":"13_CR94","unstructured":"Moore, J.L., Chen, S., Joachims, T., Turnbull, D.: Taste over time: The temporal dynamics of user preferences. In: 14th International Society for Music Information Retrieval Conference, ISMIR (2013)"},{"key":"13_CR95","unstructured":"Moore, J.L., Joachims, T., Turnbull, D.: Taste Space Versus the World: An Embedding Analysis of Listening Habits and Geography. In: Proceedings of the 15th International Society for Music Information Retrieval Conference (ISMIR 2014). Taipei, Taiwan (2014)"},{"issue":"1\u20132","key":"13_CR96","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1037\/h0094081","volume":"15","author":"A. North","year":"1996","unstructured":"North, A., Hargreaves, D.: Situational influences on reported musical preference. Psychomusicology: Music, Mind and Brain 15(1\u20132), 30\u201345 (1996)","journal-title":"Psychomusicology: Music, Mind and Brain"},{"key":"13_CR97","doi-asserted-by":"crossref","unstructured":"North, A., Hargreaves, D.: The social and applied psychology of music. Cambridge Univ Press (2008)","DOI":"10.1093\/acprof:oso\/9780198567424.001.0001"},{"key":"13_CR98","doi-asserted-by":"crossref","unstructured":"Okada, K., Karlsson, B.F., Sardinha, L., Noleto, T.: Contextplayer: Learning contextual music preferences for situational recommendations. In: SIGGRAPH Asia 2013 Symposium on Mobile Graphics and Interactive Applications, p.\u00a06. ACM (2013)","DOI":"10.1145\/2543651.2543655"},{"key":"13_CR99","doi-asserted-by":"crossref","unstructured":"de\u00a0Oliveira, R., Oliver, N.: Triplebeat: enhancing exercise performance with persuasion. In: Proceedings of the 10th international conference on Human computer interaction with mobile devices and services, pp.\u00a0255\u2013264. ACM (2008)","DOI":"10.1145\/1409240.1409268"},{"key":"13_CR100","volume-title":"Advances in Neural Information Processing Systems 26, vol. 26, p. 9. Neural Information Processing Systems Foundation (NIPS)","author":"A. van den Oord","year":"2013","unstructured":"van\u00a0den Oord, A., Dieleman, S., Schrauwen, B.: Deep content-based music recommendation. In: C.\u00a0Burges, L.\u00a0Bottou, M.\u00a0Welling, Z.\u00a0Ghahramani, K.\u00a0Weinberger (eds.) Advances in Neural Information Processing Systems 26, vol.\u00a026, p.\u00a09. Neural Information Processing Systems Foundation (NIPS), Lake Tahoe, NV, USA (2013)"},{"key":"13_CR101","unstructured":"Pachet, F.: Knowledge management and musical metadata. Idea Group (2005)"},{"issue":"1","key":"13_CR102","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1109\/93.839310","volume":"7","author":"F. Pachet","year":"2000","unstructured":"Pachet, F., Roy, P., Cazaly, D.: A combinatorial approach to content-based music selection. Multimedia, IEEE 7(1), 44\u201351 (2000)","journal-title":"Multimedia, IEEE"},{"key":"13_CR103","unstructured":"Pampalk, E., Flexer, A., Widmer, G.: Improvements of audio-based music similarity and genre classification. In: Int. Conf. on Music Information Retrieval (ISMIR\u201905), pp.\u00a0628\u2013633 (2005)"},{"key":"13_CR104","unstructured":"Pampalk, E., Pohle, T., Widmer, G.: Dynamic playlist generation based on skipping behavior. In: Int. Conf. on Music Information Retrieval (ISMIR\u201905), pp.\u00a0634\u2013637 (2005)"},{"key":"13_CR105","doi-asserted-by":"crossref","unstructured":"Park, H.S., Yoo, J.O., Cho, S.B.: A context-aware music recommendation system using fuzzy bayesian networks with utility theory. In: FSKD 2006. LNCS (LNAI), pp.\u00a0970\u2013979. Springer (2006)","DOI":"10.1007\/11881599_121"},{"key":"13_CR106","doi-asserted-by":"crossref","unstructured":"Pauws, S., Eggen, B.: PATS: Realization and user evaluation of an automatic playlist generator. In: Proceedings of the 2nd International Symposium on Music Information Retrieval, ISMIR (2002)","DOI":"10.1076\/jnmr.32.2.179.16739"},{"key":"13_CR107","unstructured":"Pauws, S., Verhaegh, W., Vossen, M.: Fast generation of optimal music playlists using local search. In: ISMIR, pp.\u00a0138\u2013143. Citeseer (2006)"},{"issue":"3","key":"13_CR108","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1023\/A:1007369909943","volume":"27","author":"M. Pazzani","year":"1997","unstructured":"Pazzani, M., Billsus, D.: Learning and revising user profiles: The identification of interesting web sites. Machine Learning 27(3), 313\u2013331 (1997).","journal-title":"Machine Learning"},{"key":"13_CR109","doi-asserted-by":"crossref","unstructured":"Pettijohn, T., Williams, G., Carter, T.: Music for the seasons: Seasonal music preferences in college students. Current Psychology pp.\u00a01\u201318 (2010)","DOI":"10.1007\/s12144-010-9092-8"},{"key":"13_CR110","volume-title":"Learning a gaussian process prior for automatically generating music playlists","author":"J.C. Platt","year":"2002","unstructured":"Platt, J.C., Burges, C.J.C., Swenson, S., Weare, C., Zheng, A.: Learning a gaussian process prior for automatically generating music playlists. In: Advances in Neural Information Processing Systems. MIT Press (2002)"},{"key":"13_CR111","doi-asserted-by":"publisher","first-page":"567","DOI":"10.1109\/TMM.2006.887991","volume":"9","author":"T. Pohle","year":"2007","unstructured":"Pohle, T., Knees, P., Schedl, M., Pampalk, E., Widmer, G.: \u201cReinventing the Wheel\u201d: A Novel Approach to Music Player Interfaces. IEEE Transactions on Multimedia 9, 567\u2013575 (2007)","journal-title":"IEEE Transactions on Multimedia"},{"key":"13_CR112","unstructured":"Pohle, T., Pampalk, E., Widmer, G.: Generating Similarity-based Playlists Using Traveling Salesman Algorithms. In: Proceedings of the 8th International Conference on Digital Audio Effects (DAFx-05), pp.\u00a0220\u2013225. Madrid, Spain (2005)"},{"key":"13_CR113","unstructured":"Popescu, G., Pu, P.: Probabilistic game theoretic algorithms for group recommender systems. In: Proceedings of the 2nd Workshop on Music Recommendation and Discovery (WOMRAD) (2011)"},{"key":"13_CR114","doi-asserted-by":"crossref","unstructured":"Ragno, R., Burges, C.J., Herley, C.: Inferring similarity between music objects with application to playlist generation. In: Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval, pp.\u00a073\u201380. ACM (2005)","DOI":"10.1145\/1101826.1101840"},{"key":"13_CR115","doi-asserted-by":"crossref","unstructured":"Reddy, S., Mascia, J.: Lifetrak: music in tune with your life. In: Proceedings of the 1st ACM International Workshop on Human-centered Multimedia (HCM), pp.\u00a025\u201334 (2006)","DOI":"10.1145\/1178745.1178754"},{"key":"13_CR116","doi-asserted-by":"crossref","unstructured":"Reed, J., Lee, C.: Preference music ratings prediction using tokenization and minimum classification error training. IEEE Trans. on Audio, Speech, and Language Processing 19(8), 2294\u20132303 (2011).","DOI":"10.1109\/TASL.2011.2129509"},{"key":"13_CR117","unstructured":"Rendle, S., Freudenthaler, C., Gantner, Z., Schmidt-Thieme, L.: Bpr: Bayesian personalized ranking from implicit feedback. In: Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, pp.\u00a0452\u2013461. AUAI Press (2009)"},{"issue":"3","key":"13_CR118","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1177\/0305735608097247","volume":"37","author":"T. Sch\u00e4fer","year":"2009","unstructured":"Sch\u00e4fer, T., Sedlmeier, P.: From the functions of music to music preference. Psychology of Music 37(3), 279\u2013300 (2009)","journal-title":"Psychology of Music"},{"key":"13_CR119","doi-asserted-by":"crossref","unstructured":"Schedl, M.: #nowplaying Madonna: A Large-Scale Evaluation on Estimating Similarities Between Music Artists and Between Movies from Microblogs. Information Retrieval (2012)","DOI":"10.1007\/s10791-012-9187-y"},{"key":"13_CR120","doi-asserted-by":"crossref","unstructured":"Schedl, M.: Ameliorating Music Recommendation: Integrating Music Content, Music Context, and User Context for Improved Music Retrieval and Recommendation. In: Proceedings of the 11th International Conference on Advances in Mobile Computing & Multimedia (MoMM 2013). Vienna, Austria (2013)","DOI":"10.1145\/2536853.2536856"},{"key":"13_CR121","doi-asserted-by":"crossref","unstructured":"Schedl, M.: Leveraging Microblogs for Spatiotemporal Music Information Retrieval. In: Proceedings of the 35th European Conference on Information Retrieval (ECIR 2013). Moscow, Russia (2013)","DOI":"10.1007\/978-3-642-36973-5_87"},{"key":"13_CR122","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.: The neglected user in music information retrieval research. Journal of Intelligent Information Systems 41, 523\u2013539 (2013).","journal-title":"Journal of Intelligent Information Systems"},{"issue":"3","key":"13_CR123","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1993036.1993038","volume":"29","author":"M. Schedl","year":"2011","unstructured":"Schedl, M., Pohle, T., Knees, P., Widmer, G.: Exploring the Music Similarity Space on the Web. ACM Transactions on Information Systems 29(3), 1\u201324 (2011)","journal-title":"ACM Transactions on Information Systems"},{"key":"13_CR124","doi-asserted-by":"crossref","unstructured":"Schedl, M., Schnitzer, D.: Hybrid Retrieval Approaches to Geospatial Music Recommendation. In: Proceedings of the 36th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). Dublin, Ireland (2013)","DOI":"10.1145\/2484028.2484146"},{"key":"13_CR125","doi-asserted-by":"crossref","unstructured":"Schedl, M., Vall, A., Farrahi, K.: User Geospatial Context for Music Recommendation in Microblogs. In: Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). Gold Coast, Australia (2014)","DOI":"10.1145\/2600428.2609491"},{"issue":"3","key":"13_CR126","doi-asserted-by":"publisher","first-page":"426","DOI":"10.1016\/j.ipm.2010.09.002","volume":"47","author":"M. Schedl","year":"2011","unstructured":"Schedl, M., Widmer, G., Knees, P., Pohle, T.: A music information system automatically generated via web content mining techniques. Information Processing & Management 47(3), 426\u2013439 (2011).","journal-title":"Information Processing & Management"},{"key":"13_CR127","doi-asserted-by":"crossref","unstructured":"Schilit, B., Adams, N., Want, R.: Context-aware computing applications. In: Proceedings of the Workshop on Mobile Computing Systems and Applications, pp.\u00a085\u201390. IEEE Computer Society (1994)","DOI":"10.1109\/WMCSA.1994.16"},{"key":"13_CR128","unstructured":"Schindler, A., Mayer, R., Rauber, A.: Facilitating comprehensive benchmarking experiments on the million song dataset. In: Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR 2012). Porto, Portugal (2012)"},{"key":"13_CR129","doi-asserted-by":"crossref","unstructured":"Shani, G., Gunawardana, A.: Evaluating recommender systems. Recommender Systems Handbook pp.\u00a0257\u2013298 (2009).","DOI":"10.1007\/978-0-387-85820-3_8"},{"issue":"8","key":"13_CR130","doi-asserted-by":"publisher","first-page":"1602","DOI":"10.1109\/TASL.2009.2020893","volume":"17","author":"B. Shao","year":"2009","unstructured":"Shao, B., Wang, D., Li, T., Ogihara, M.: Music recommendation based on acoustic features and user access patterns. IEEE Transactions on Audio, Speech, and Language Processing 17(8), 1602\u20131611 (2009)","journal-title":"IEEE Transactions on Audio, Speech, and Language Processing"},{"key":"13_CR131","doi-asserted-by":"crossref","unstructured":"Shardanand, U., Maes, P.: Social information filtering: algorithms for automating \u201cword of mouth\u201d. In: Proceedings of the SIGCHI conference on Human factors in computing systems, pp.\u00a0210\u2013217 (1995)","DOI":"10.1145\/223904.223931"},{"issue":"2","key":"13_CR132","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1109\/MMUL.2011.34","volume":"18","author":"M. Slaney","year":"2011","unstructured":"Slaney, M.: Web-scale multimedia analysis: Does content matter? IEEE Multimedia 18(2), 12\u201315 (2011)","journal-title":"IEEE Multimedia"},{"key":"13_CR133","doi-asserted-by":"crossref","unstructured":"Slaney, M., White, W.: Measuring playlist diversity for recommendation systems. In: 1st ACM workshop on Audio and music computing multimedia, AMCMM \u201806, pp.\u00a077\u201382. ACM, New York, NY, USA (2006)","DOI":"10.1145\/1178723.1178735"},{"key":"13_CR134","unstructured":"Slaney, M., White, W.: Similarity Based on Rating Data. In: Proceedings of the 8th International Conference on Music Information Retrieval (ISMIR 2007). Vienna, Austria (2007)"},{"key":"13_CR135","unstructured":"Sordo, M., Celma, O., Blech, M., Guaus, E.: The quest for musical genres: Do the experts and the wisdom of crowds agree? In: Int. Conf. of Music Information Retrieval (ISMIR\u201908), pp.\u00a0255\u2013260 (2008)"},{"key":"13_CR136","doi-asserted-by":"crossref","unstructured":"Stupar, A., Michel, S.: Picasso - to sing, you must close your eyes and draw. In: 34th ACM SIGIR Conf. on Research and development in Information, pp.\u00a0715\u2013724 (2011)","DOI":"10.1145\/2009916.2010012"},{"key":"13_CR137","doi-asserted-by":"crossref","unstructured":"Su, J.H., Yeh, H.H., Tseng, V.S.: A novel music recommender by discovering preferable perceptual-patterns from music pieces. In: ACM Symp. on Applied Computing (SAC\u201910), pp.\u00a01924\u20131928 (2010)","DOI":"10.1145\/1774088.1774495"},{"issue":"1","key":"13_CR138","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1080\/10588160902810309","volume":"12","author":"G. Szymanski","year":"2009","unstructured":"Szymanski, G.: Pandora, or, a never-ending box of musical delights. Music Reference Services Quarterly 12(1), 21\u201322 (2009).","journal-title":"Music Reference Services Quarterly"},{"key":"13_CR139","doi-asserted-by":"crossref","unstructured":"Tiemann, M., Pauws, S.: Towards ensemble learning for hybrid music recommendation. In: ACM Conf. on Recommender Systems (RecSys\u201907), pp.\u00a0177\u2013178 (2007)","DOI":"10.1145\/1297231.1297265"},{"key":"13_CR140","doi-asserted-by":"crossref","unstructured":"Turnbull, D.R., Barrington, L., Lanckriet, G., Yazdani, M.: Combining audio content and social context for semantic music discovery. In: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, pp.\u00a0387\u2013394. ACM (2009)","DOI":"10.1145\/1571941.1572009"},{"issue":"5","key":"13_CR141","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1109\/TSA.2002.800560","volume":"10","author":"G. Tzanetakis","year":"2002","unstructured":"Tzanetakis, G., Cook, P.: Musical genre classification of audio signals. IEEE Trans. on Speech and Audio Processing 10(5), 293\u2013302 (2002)","journal-title":"IEEE Trans. on Speech and Audio Processing"},{"key":"13_CR142","doi-asserted-by":"crossref","unstructured":"Wang, X., Rosenblum, D., Wang, Y.: Context-aware mobile music recommendation for daily activities. In: Proceedings of the 20th ACM international conference on Multimedia, pp.\u00a099\u2013108. ACM (2012)","DOI":"10.1145\/2393347.2393368"},{"key":"13_CR143","unstructured":"Weigl, D., Guastavino, C.: User Studies in the Music Information Retrieval Literature. In: Proceedings of the 12th International Society for Music Information Retrieval Conference (ISMIR 2011). Miami, FL, USA (2011)"},{"key":"13_CR144","unstructured":"Weston, J., Wang, C., Weiss, R., Berenzweig, A.: Latent Collaborative Retrieval. In: Proceedings of the 29th International Conference on Machine Learning (ICML). Edinburgh, Scotland (2012)"},{"key":"13_CR145","doi-asserted-by":"crossref","unstructured":"Yang, D., Chen, T., Zhang, W., Lu, Q., Yu, Y.: Local implicit feedback mining for music recommendation. In: Proceedings of the 6th ACM Conference on Recommender Systems, pp.\u00a091\u201398. ACM (2012)","DOI":"10.1145\/2365952.2365973"},{"key":"13_CR146","doi-asserted-by":"crossref","unstructured":"Yang, Y.H., Chen, H.H.: Machine recognition of music emotion: A review. ACM Trans. Intell. Syst. Technol. 3(3), 40:1\u201340:30 (2012).","DOI":"10.1145\/2168752.2168754"},{"key":"13_CR147","doi-asserted-by":"crossref","unstructured":"Yoshii, K., Goto, M., Komatani, K., Ogata, T., Okuno, H.G.: An efficient hybrid music recommender system using an incrementally trainable probabilistic generative model. IEEE Trans. on Audio, Speech, and Language Processing 16(2), 435\u2013447 (2008).","DOI":"10.1109\/TASL.2007.911503"},{"issue":"4","key":"13_CR148","doi-asserted-by":"publisher","first-page":"494","DOI":"10.1037\/1528-3542.8.4.494","volume":"8","author":"M. Zentner","year":"2008","unstructured":"Zentner, M., Grandjean, D., Scherer, K.R.: Emotions evoked by the sound of music: Characterization, classification, and measurement. Emotion 8(4), 494\u2013521 (2008)","journal-title":"Emotion"},{"key":"13_CR149","doi-asserted-by":"crossref","unstructured":"Zhang, Y.C., S\u00e9aghdha, D.O., Quercia, D., Jambor, T.: Auralist: Introducing serendipity into music recommendation. In: Proceedings of the Fifth ACM International Conference on Web Search and Data Mining, WSDM \u201812, pp.\u00a013\u201322. ACM, New York, NY, USA (2012)","DOI":"10.1145\/2124295.2124300"},{"key":"13_CR150","doi-asserted-by":"crossref","unstructured":"Zheleva, E., Guiver, J., Mendes\u00a0Rodrigues, E., Mili\u0107-Frayling, N.: Statistical models of music-listening sessions in social media. In: Proceedings of the 19th international conference on World wide web, WWW \u201810, pp.\u00a01019\u20131028. ACM, New York, NY, USA (2010)","DOI":"10.1145\/1772690.1772794"}],"container-title":["Recommender Systems Handbook"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-1-4899-7637-6_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,31]],"date-time":"2025-05-31T12:20:16Z","timestamp":1748694016000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-1-4899-7637-6_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9781489976369","9781489976376"],"references-count":150,"URL":"https:\/\/doi.org\/10.1007\/978-1-4899-7637-6_13","relation":{},"subject":[],"published":{"date-parts":[[2015]]}}}