{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:47:07Z","timestamp":1760708827550,"version":"3.41.0"},"reference-count":29,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2016,3,1]],"date-time":"2016-03-01T00:00:00Z","timestamp":1456790400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Signal Processing"],"published-print":{"date-parts":[[2016,3]]},"DOI":"10.1016\/j.sigpro.2015.03.026","type":"journal-article","created":{"date-parts":[[2015,5,3]],"date-time":"2015-05-03T06:43:45Z","timestamp":1430635425000},"page":"806-813","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":20,"special_numbering":"C","title":["Music recommendation using graph based quality model"],"prefix":"10.1016","volume":"120","author":[{"given":"Kuang","family":"Mao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuxing","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luming","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"unstructured":"B. Logan, Music recommendation from song sets, in: Proceedings of ISMIR, 2004, pp. 425\u2013428.","key":"10.1016\/j.sigpro.2015.03.026_bib1"},{"doi-asserted-by":"crossref","unstructured":"P. Cano, Content-based music audio recommendation, in: ACM Multimedia, 2005.","key":"10.1016\/j.sigpro.2015.03.026_bib2","DOI":"10.1145\/1101149.1101181"},{"key":"10.1016\/j.sigpro.2015.03.026_bib3","series-title":"ACM Multimedia","first-page":"1065","article-title":"Scalable music recommendation by search","author":"Cai","year":"2007"},{"key":"10.1016\/j.sigpro.2015.03.026_bib4","series-title":"ACM Multimedia","article-title":"SVR-based music mood classification and context-based music recommendation","author":"Rho","year":"2009"},{"unstructured":"K. Yoshii, M. Goto, K. Komatani, T. Ogata, H.G. Okuno, Hybrid collaborative and content-based music recommendation using probabilistic model with latent user preferences, in: ISMIR, 2006, pp. 296\u2013301.","key":"10.1016\/j.sigpro.2015.03.026_bib5"},{"issue":"2","key":"10.1016\/j.sigpro.2015.03.026_bib6","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1016\/j.ipm.2006.07.005","article-title":"A probabilistic music recommender considering user opinions and audio features","volume":"43","author":"Li","year":"2007","journal-title":"Inf. Process. Manag."},{"key":"10.1016\/j.sigpro.2015.03.026_bib7","series-title":"RecSys","first-page":"177","article-title":"Towards ensemble learning for hybrid music recommendation","author":"Tiemann","year":"2007"},{"unstructured":"K. Yoshii, M. Goto, Continuous pLSI and smoothing techniques for hybrid music recommendation, in: K. Hirata, G. Tzanetakis, K. Yoshii (Eds.), ISMIR, International Society for Music Information Retrieval, 2009, pp. 339\u2013344.","key":"10.1016\/j.sigpro.2015.03.026_bib8"},{"issue":"4","key":"10.1016\/j.sigpro.2015.03.026_bib9","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1016\/j.websem.2008.09.004","article-title":"FOAFing the music","volume":"6","author":"Celma","year":"2008","journal-title":"J. Web Sem."},{"issue":"12","key":"10.1016\/j.sigpro.2015.03.026_bib10","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1145\/138859.138867","article-title":"Using collaborative filtering to weave an information tapestry","volume":"35","author":"Goldberg","year":"1992","journal-title":"Commun. ACM"},{"unstructured":"J.S. Breese, D. Heckerman, C.M. Kadie, Empirical analysis of predictive algorithms for collaborative filtering, CoRR abs\/1301.7363.","key":"10.1016\/j.sigpro.2015.03.026_bib11"},{"doi-asserted-by":"crossref","unstructured":"B.M. Sarwar, G. Karypis, J.A. Konstan, J. Riedl, Item-based collaborative filtering recommendation algorithms, in: WWW, 2001, pp. 285\u2013295.","key":"10.1016\/j.sigpro.2015.03.026_bib12","DOI":"10.1145\/371920.372071"},{"doi-asserted-by":"crossref","unstructured":"K. Mao, X. Luo, K. Chen, G. Chen, L. Shou, myDJ: recommending Karaoke songs from one\u05f3s own voice, in: SIGIR, 2012, p. 1009.","key":"10.1016\/j.sigpro.2015.03.026_bib13","DOI":"10.1145\/2348283.2348434"},{"doi-asserted-by":"crossref","unstructured":"L. Shou, K. Mao, X. Luo, K. Chen, G. Chen, T. Hu, Competence-based song recommendation, in: SIGIR, 2013, pp. 423\u2013432.","key":"10.1016\/j.sigpro.2015.03.026_bib14","DOI":"10.1145\/2484028.2484048"},{"unstructured":"K. Mao, J. Fan, L. Shou, G. Chen, M. Kankanhalli, Competence-based song recommendation, in: ACM Multimedia, 2014.","key":"10.1016\/j.sigpro.2015.03.026_bib15"},{"key":"10.1016\/j.sigpro.2015.03.026_bib16","first-page":"624","volume":"vol. 3120","author":"Belkin","year":"2004"},{"issue":"1\u20133","key":"10.1016\/j.sigpro.2015.03.026_bib17","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1023\/B:MACH.0000033120.25363.1e","article-title":"Semi-supervised learning on Riemannian manifolds","volume":"56","author":"Belkin","year":"2004","journal-title":"Mach. Learn."},{"doi-asserted-by":"crossref","unstructured":"D. Zhou, J. Huang, B. Sch\u00f6lkopf, Learning from labeled and unlabeled data on a directed graph, in: ICML, vol. 119, 2005, pp. 1036\u20131043.","key":"10.1016\/j.sigpro.2015.03.026_bib18","DOI":"10.1145\/1102351.1102482"},{"unstructured":"D. Zhou, J. Weston, A. Gretton, O. Bousquet, B. Sch\u00f6lkopf, Ranking on data manifolds, in: Advances in Neural Information Processing Systems 16, MIT Press, 2004.","key":"10.1016\/j.sigpro.2015.03.026_bib19"},{"doi-asserted-by":"crossref","unstructured":"S. Agarwal, Ranking on graph data, in: W.W. Cohen, A. Moore (Eds.), ICML, vol. 148, ACM, Pittsburgh, Pennsylvania, 2006, pp. 25\u201332.","key":"10.1016\/j.sigpro.2015.03.026_bib20","DOI":"10.1145\/1143844.1143848"},{"doi-asserted-by":"crossref","unstructured":"L. Zhang, Y. Han, Y. Yang, M. Song, S. Yan, Q. Tian, Discovering discriminative graphlets for aerial image categories recognition, IEEE Trans. Image Process. 22 (12) (2013) 5071\u20135084.","key":"10.1016\/j.sigpro.2015.03.026_bib21","DOI":"10.1109\/TIP.2013.2278465"},{"doi-asserted-by":"crossref","unstructured":"L. Zhang, Y. Yang, Y. Gao, C. Wang, Y. Yu, X. Li, A probabilistic associative model for segmenting weakly-supervised images, IEEE Trans. Image Process. 23 (9) (2014) 4150-4159","key":"10.1016\/j.sigpro.2015.03.026_bib22","DOI":"10.1109\/TIP.2014.2344433"},{"doi-asserted-by":"crossref","unstructured":"L. Zhang, Y. Gao, R. Ji, L. Ke, J. Shen, Representative discovery of structure cues for weakly-supervised image segmentation, IEEE Trans. Multimed. 16 (2) (2014) 470\u2013490.","key":"10.1016\/j.sigpro.2015.03.026_bib23","DOI":"10.1109\/TMM.2013.2293424"},{"doi-asserted-by":"crossref","unstructured":"L. Zhang, M. Song, Z. Liu, X. Liu, J. Bu, C. Chen, Probabilistic graphlet cut: exploring spatial structure cue for weakly supervised image segmentation, in: IEEE Computer Vision and Pattern Recognition (CVPR), 2013.","key":"10.1016\/j.sigpro.2015.03.026_bib24","DOI":"10.1109\/CVPR.2013.249"},{"doi-asserted-by":"crossref","unstructured":"L. Zhang, M. Song, X. Liu, J. Bu, C. Chen, Fast multi-view segment graph kernel for object classification, Signal Process. (2013) 1597\u20131607.","key":"10.1016\/j.sigpro.2015.03.026_bib25","DOI":"10.1016\/j.sigpro.2012.05.012"},{"unstructured":"L. Zhang, M. Song, Q. Zhao, X. Liu, J. Bu, C. Chen, Probabilistic graphlet transfer for photo cropping, IEEE Trans. Image Process. 21 (5) (2013) 2887\u20132897.","key":"10.1016\/j.sigpro.2015.03.026_bib26"},{"unstructured":"L. Zhang, Y. Gao, R. Zimmermann, Q. Tian, X. Li, Fusion of multi-channel local and global structural cues for photo aesthetics evaluation, in: IEEE Trans. Image Process. 23 (3) (2014) 1419\u20131429.","key":"10.1016\/j.sigpro.2015.03.026_bib27"},{"year":"1999","author":"Baeza-Yates","series-title":"Modern Information Retrieval","key":"10.1016\/j.sigpro.2015.03.026_bib28"},{"doi-asserted-by":"crossref","unstructured":"K. J\u00e4rvelin, J. Kek\u00e4l\u00e4inen, Ir evaluation methods for retrieving highly relevant documents, in: SIGIR, 2000, pp. 41\u201348.","key":"10.1016\/j.sigpro.2015.03.026_bib29","DOI":"10.1145\/345508.345545"}],"container-title":["Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165168415001401?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165168415001401?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,5,27]],"date-time":"2025-05-27T19:49:41Z","timestamp":1748375381000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0165168415001401"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,3]]},"references-count":29,"alternative-id":["S0165168415001401"],"URL":"https:\/\/doi.org\/10.1016\/j.sigpro.2015.03.026","relation":{},"ISSN":["0165-1684"],"issn-type":[{"type":"print","value":"0165-1684"}],"subject":[],"published":{"date-parts":[[2016,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Music recommendation using graph based quality model","name":"articletitle","label":"Article Title"},{"value":"Signal Processing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.sigpro.2015.03.026","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Published by Elsevier B.V.","name":"copyright","label":"Copyright"}]}}