{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:50:48Z","timestamp":1740099048630,"version":"3.37.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319781044"},{"type":"electronic","value":"9783319781051"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-78105-1_41","type":"book-chapter","created":{"date-parts":[[2018,3,14]],"date-time":"2018-03-14T10:03:15Z","timestamp":1521021795000},"page":"378-383","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Music Artist Similarity: An Exploratory Study on a Large-Scale Dataset of Online Streaming Services"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3994-0385","authenticated-orcid":false,"given":"Xiao","family":"Hu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7779-1865","authenticated-orcid":false,"given":"Ira Keung Kit","family":"Tam","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2800-5511","authenticated-orcid":false,"given":"Meijun","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9784-5090","authenticated-orcid":false,"given":"J. Stephen","family":"Downie","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,3,15]]},"reference":[{"issue":"2","key":"41_CR1","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1145\/2652481","volume":"47","author":"G Bonnin","year":"2015","unstructured":"Bonnin, G., Jannach, D.: Automated generation of music playlists: Survey and experiments. ACM Comput. Surv. (CSUR) 47(2), 26 (2015)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"41_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-13287-2","volume-title":"Music Recommendation and Discovery: 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: The Long Tail, Long Fail, and Long Play in the Digital Music Space. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-13287-2"},{"key":"41_CR3","doi-asserted-by":"crossref","unstructured":"Celma, \u00d2., Cano, P.: From hits to niches?: or how popular artists can bias music recommendation and discovery. In: Proceedings of the 2nd KDD Workshop on Large-Scale Recommender Systems and the Netflix Prize Competition, pp. 5. ACM (2008)","DOI":"10.1145\/1722149.1722154"},{"issue":"2","key":"41_CR4","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1111\/j.0963-7214.2005.00343.x","volume":"14","author":"AHN Cillessen","year":"2005","unstructured":"Cillessen, A.H.N., Rose, A.J.: Understanding popularity in the peer system. Curr. Dir. Psychol. Sci. 14(2), 102\u2013105 (2005)","journal-title":"Curr. Dir. Psychol. Sci."},{"key":"41_CR5","unstructured":"Echo Nest: our company (2016). http:\/\/the.echonest.com\/company\/ . Accessed 09 Aug 2017"},{"key":"41_CR6","unstructured":"Ellis, D.P., Whitman, B., Berenzweig, A., Lawrence, S.: The quest for ground truth in musical artist similarity. In: Proceedings of International Society for Music Information Retrieval, Paris, France (2002)"},{"key":"41_CR7","unstructured":"Jacobson, K.: Connections in music. Ph.D. thesis, Queen Marry University of London, London, U.K. (2011)"},{"key":"41_CR8","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1177\/1029864915619000","volume":"20","author":"NM Koch","year":"2016","unstructured":"Koch, N.M., Soto, I.M.: Let the music be your master: power laws and music listening habits. Musicae Scientiae 20, 193\u2013206 (2016). European Society for the Cognitive Sciences of Music","journal-title":"Musicae Scientiae"},{"key":"41_CR9","doi-asserted-by":"crossref","unstructured":"Koenigstein, N., Dror, G., Koren, Y.: Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy. In: Proceedings of the 5th ACM conference on Recommender systems, pp. 165\u2013172 (2011)","DOI":"10.1145\/2043932.2043964"},{"key":"41_CR10","unstructured":"Lee, J.H., Waterman, N.M.: Understanding user requirements for music information services. In: Proceedings of International Society for Music Information Retrieval, Porto, Portugal, pp. 253\u2013258 (2012)"},{"issue":"1","key":"41_CR11","doi-asserted-by":"crossref","first-page":"016102","DOI":"10.1103\/PhysRevE.73.016102","volume":"73","author":"SH Lee","year":"2006","unstructured":"Lee, S.H., Kim, P.-J., Jeong, H.: Statistical properties of sampled networks. Phys. Rev. E. Stat. Nonlinear, Soft Matter Phys. 73(1), 016102 (2006)","journal-title":"Phys. Rev. E. Stat. Nonlinear, Soft Matter Phys."},{"issue":"5","key":"41_CR12","doi-asserted-by":"crossref","first-page":"150081","DOI":"10.1098\/rsos.150081","volume":"2","author":"M Mauch","year":"2015","unstructured":"Mauch, M., Maccallum, R.M., Levy, M., Leroi, A.M.: The evolution of popular music: USA 1960\u20132010. R. Soc. Open Sci. 2(5), 150081 (2015)","journal-title":"R. Soc. Open Sci."},{"key":"41_CR13","doi-asserted-by":"crossref","unstructured":"Oramas, S., Sordo, M., Anke, L.E., Serra, X.: A semantic-based approach for artist similarity. In: Proceedings of International Society for Music Information Retrieval, Malaga, Spain, pp. 100\u2013106 (2015)","DOI":"10.1016\/j.datak.2016.06.001"},{"key":"41_CR14","unstructured":"Oxford Music Online: genre. http:\/\/www.oxfordmusiconline.com\/subscriber\/article\/grove\/music\/40599 . Accessed 23 Aug 2017"},{"key":"41_CR15","doi-asserted-by":"crossref","unstructured":"P\u00e1lovics, R., Bencz\u00far, A.A.: Temporal influence over the Last.fm social network. In: IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 486\u2013493 (2013)","DOI":"10.1145\/2492517.2492532"},{"key":"41_CR16","unstructured":"Pucihar, A., Bor\u0161tnar, M.K., Kittl, C., Ravesteijn, P., Clarke, R., Bons, R.: Music recommender systems challenges and opportunities for non-superstar artists. In: 30th Bled eConference, Slovania (2017)"},{"key":"41_CR17","unstructured":"Zax, D.: The Echo Nest makes pandora look like a transistor radio (2011). http:\/\/www.fastcocreate.com\/1679062\/the-echo-nest-makes-pandora-look-like-a-transistor-radio . Accessed 23 Aug 2017"}],"container-title":["Lecture Notes in Computer Science","Transforming Digital Worlds"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-78105-1_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,29]],"date-time":"2020-10-29T07:49:31Z","timestamp":1603957771000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-78105-1_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319781044","9783319781051"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-78105-1_41","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}