{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T15:39:45Z","timestamp":1774366785208,"version":"3.50.1"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2021,1,15]],"date-time":"2021-01-15T00:00:00Z","timestamp":1610668800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,15]],"date-time":"2021-01-15T00:00:00Z","timestamp":1610668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2021,4]]},"DOI":"10.1007\/s11042-020-10386-7","type":"journal-article","created":{"date-parts":[[2021,1,15]],"date-time":"2021-01-15T21:02:48Z","timestamp":1610744568000},"page":"13559-13574","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["An emotion-aware music recommender system: bridging the user\u2019s interaction and music recommendation"],"prefix":"10.1007","volume":"80","author":[{"given":"Saba","family":"Yousefian Jazi","sequence":"first","affiliation":[]},{"given":"Marjan","family":"Kaedi","sequence":"additional","affiliation":[]},{"given":"Afsaneh","family":"Fatemi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,1,15]]},"reference":[{"key":"10386_CR1","doi-asserted-by":"publisher","first-page":"1103","DOI":"10.3390\/app8071103","volume":"8","author":"A Abdul","year":"2018","unstructured":"Abdul A, Chen J, Liao H-Y, Chang S-H (2018) An emotion-aware personalized music recommendation system using a convolutional neural networks approach. Appl Sci 8:1103","journal-title":"Appl Sci"},{"issue":"1","key":"10386_CR2","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.ipm.2015.03.004","volume":"52","author":"A Aljanaki","year":"2016","unstructured":"Aljanaki A, Wiering F, Veltkamp RC (2016) Studying emotion induced by music through a crowdsourcing game. Inform Process Manag 52(1):115\u2013128","journal-title":"Inform Process Manag"},{"key":"10386_CR3","doi-asserted-by":"crossref","unstructured":"Aracena C, Basterrech S, Sn\u00e1el V, Vel\u00e1squez J (2015) Neural networks for emotion recognition based on eye tracking data. Paper presented at the 2015 IEEE International Conference on Systems, Man, and Cybernetics","DOI":"10.1109\/SMC.2015.460"},{"issue":"2","key":"10386_CR4","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1109\/TCE.2018.2844736","volume":"64","author":"D Ayata","year":"2018","unstructured":"Ayata D, Yaslan Y, Kamasak ME (2018) Emotion based music recommendation system using wearable physiological sensors. IEEE Trans Consumer Electron 64(2):196\u2013203","journal-title":"IEEE Trans Consumer Electron"},{"key":"10386_CR5","unstructured":"Burns H, Burns S (2015) Moving Averages 101: Incredible Signals That Will Make You Money in the Stock Market: CreateSpace Independent Publishing Platform"},{"key":"10386_CR6","unstructured":"Burns S, Burns H (2017) 5 Moving Average Signals That Beat Buy and Hold: Backtested Stock Market Signals: CreateSpace Independent Publishing Platform"},{"issue":"23","key":"10386_CR7","doi-asserted-by":"publisher","first-page":"9284","DOI":"10.1016\/j.eswa.2015.08.029","volume":"42","author":"S Deng","year":"2015","unstructured":"Deng S, Wang D, Li X, Xu G (2015) Exploring user emotion in microblogs for music recommendation. Expert Syst Appl 42(23):9284\u20139293","journal-title":"Expert Syst Appl"},{"key":"10386_CR8","doi-asserted-by":"crossref","unstructured":"Estrada J, Buhia J, Guevarra A, Forcado MR (2017) Keyboard and mouse: tools in identifying emotions during computer activities. Paper presented at the International Conference on Big Data Technologies and Applications","DOI":"10.1007\/978-3-319-98752-1_13"},{"key":"10386_CR9","doi-asserted-by":"crossref","unstructured":"Gavrilescu M (2015) Recognizing emotions from videos by studying facial expressions, body postures and hand gestures. Paper presented at the 2015 23rd Telecommunications Forum Telfor (TELFOR)","DOI":"10.1109\/TELFOR.2015.7377568"},{"key":"10386_CR10","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1016\/j.physa.2015.01.007","volume":"424","author":"B Geng","year":"2015","unstructured":"Geng B, Li L, Jiao L, Gong M, Cai Q, Wu Y (2015) NNIA-RS: A multi-objective optimization based recommender system. Physica A: Statistic Mech Appl 424:383\u2013397","journal-title":"Physica A: Statistic Mech Appl"},{"key":"10386_CR11","doi-asserted-by":"crossref","unstructured":"Goldberg D, Nichols D, Oki BM, Terry D (1992) Using collaborative filtering to weave an information tapestry. Commun ACM 35:61\u201370","DOI":"10.1145\/138859.138867"},{"key":"10386_CR12","doi-asserted-by":"crossref","unstructured":"Gu YH, Yoo SJ, Piao Z, No J, Jiang Z, Yin H (2016) A smart-device news recommendation technology based on the user click behavior. Paper presented at the Sixth International Conference on Emerging Databases: Technologies, Applications, and Theory","DOI":"10.1145\/3007818.3007821"},{"key":"10386_CR13","doi-asserted-by":"crossref","unstructured":"Hamedani EM, Kaedi M (2019) Recommending the long tail items through personalized diversification. Knowledge-Based Syst 164:348\u2013357","DOI":"10.1016\/j.knosys.2018.11.004"},{"key":"10386_CR14","doi-asserted-by":"crossref","unstructured":"Hu X, Bai K, Cheng J, Deng J-q, Guo Y, Hu B, . . . Wang F (2017) MeDJ: multidimensional emotion-aware music delivery for adolescent. Paper presented at the Proceedings of the 26th International Conference on World Wide Web Companion","DOI":"10.1145\/3041021.3054259"},{"key":"10386_CR15","doi-asserted-by":"crossref","unstructured":"Jannach D, Zanker M, Felfernig A, Friedrich G (2011) Recommender systems, an introduction. Hardback (November 2010)","DOI":"10.1017\/CBO9780511763113"},{"issue":"1","key":"10386_CR16","first-page":"2091","volume":"3","author":"H Kabani","year":"2015","unstructured":"Kabani H, Khan S, Khan O, Tadvi S (2015) Emotion based music player. Int J Eng Res Gen Sci 3(1):2091\u20132730","journal-title":"Int J Eng Res Gen Sci"},{"issue":"4","key":"10386_CR17","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1525\/mp.2013.30.4.407","volume":"30","author":"A Kawakami","year":"2012","unstructured":"Kawakami A, Furukawa K, Katahira K, Kamiyama K, Okanoya K (2012) Relations between musical structures and perceived and felt emotions. Music Perception: Interdisciplin J 30(4):407\u2013417","journal-title":"Music Perception: Interdisciplin J"},{"key":"10386_CR18","doi-asserted-by":"publisher","first-page":"311","DOI":"10.3389\/fpsyg.2013.00311","volume":"4","author":"A Kawakami","year":"2013","unstructured":"Kawakami A, Furukawa K, Katahira K, Okanoya K (2013) Sad music induces pleasant emotion. Frontiers Psychol 4:311","journal-title":"Frontiers Psychol"},{"issue":"6","key":"10386_CR19","doi-asserted-by":"publisher","first-page":"943","DOI":"10.1007\/s11704-013-2331-z","volume":"7","author":"IA Khan","year":"2013","unstructured":"Khan IA, Brinkman WP, Hierons R (2013) Towards estimating computer users\u2019 mood from interaction behaviour with keyboard and mouse. Front Comput Sci 7(6):943\u2013954","journal-title":"Front Comput Sci"},{"issue":"9","key":"10386_CR20","first-page":"1","volume":"11","author":"P Khanna","year":"2010","unstructured":"Khanna P, Sasikumar M (2010) Recognising emotions from keyboard stroke pattern. Int J Comput Appl 11(9):1\u20135","journal-title":"Int J Comput Appl"},{"key":"10386_CR21","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1016\/j.procs.2015.10.096","volume":"70","author":"AK KM","year":"2015","unstructured":"KM AK, Kiran B, Shreyas B, Victor SJ (2015) A multimodal approach to detect user's emotion. Procedia Comput Sci 70:296\u2013303","journal-title":"Procedia Comput Sci"},{"key":"10386_CR22","doi-asserted-by":"crossref","unstructured":"Lukose S, Upadhya SS (2017) Music player based on emotion recognition of voice signals. Paper presented at the 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT)","DOI":"10.1109\/ICICICT1.2017.8342835"},{"issue":"9","key":"10386_CR23","doi-asserted-by":"publisher","first-page":"987","DOI":"10.1080\/0144929X.2014.907343","volume":"33","author":"ANH Nahin","year":"2014","unstructured":"Nahin ANH, Alam JM, Mahmud H, Hasan K (2014) Identifying emotion by keystroke dynamics and text pattern analysis. Behav Information Technol 33(9):987\u2013996","journal-title":"Behav Information Technol"},{"key":"10386_CR24","doi-asserted-by":"crossref","unstructured":"Pentel A (2017) Emotions and user interactions with Keyboard and Mouse. Paper presented at the 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA)","DOI":"10.1109\/IISA.2017.8316379"},{"key":"10386_CR25","doi-asserted-by":"crossref","unstructured":"Pichl M (2018) Multi-Context-Aware Recommender Systems: A Study on Music Rfecommendation. University of Innsbruck","DOI":"10.1145\/3078971.3078980"},{"key":"10386_CR26","doi-asserted-by":"crossref","unstructured":"Pichl M, Zangerle E (2018) Latent feature combination for multi-context music recommendation. Paper presented at the 2018 International Conference on Content-Based Multimedia Indexing (CBMI)","DOI":"10.1109\/CBMI.2018.8516495"},{"key":"10386_CR27","doi-asserted-by":"publisher","unstructured":"Pichl M, Zangerle E (2020) User models for multi-context-aware music recommendation. Multimed Tools Appl. https:\/\/doi.org\/10.1007\/s11042-020-09890-7","DOI":"10.1007\/s11042-020-09890-7"},{"key":"10386_CR28","doi-asserted-by":"crossref","unstructured":"Poirson E, Da Cunha C (2018) A recommender approach based on customer emotions. Expert Syst Appl","DOI":"10.1016\/j.eswa.2018.12.035"},{"issue":"2","key":"10386_CR29","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1525\/mts.2012.34.2.71","volume":"34","author":"J Robinson","year":"2012","unstructured":"Robinson J, Hatten RS (2012) Emotions in music. Music Theory Spectrum 34(2):71\u2013106","journal-title":"Music Theory Spectrum"},{"key":"10386_CR30","doi-asserted-by":"publisher","first-page":"24119","DOI":"10.1007\/s11042-020-09126-8","volume":"79","author":"S Roy","year":"2020","unstructured":"Roy S, Biswas M, De D (2020) iMusic: A session-sensitive clustered classical music recommender system using contextual representation learning. Multimed Tools Appl 79:24119\u201324155","journal-title":"Multimed Tools Appl"},{"key":"10386_CR31","doi-asserted-by":"publisher","first-page":"691","DOI":"10.1016\/j.procs.2014.08.151","volume":"35","author":"S Salmeron-Majadas","year":"2014","unstructured":"Salmeron-Majadas S, Santos OC, Boticario JG (2014) An evaluation of mouse and keyboard interaction indicators towards non-intrusive and low cost affective modeling in an educational context. Procedia Comput Sci 35:691\u2013700","journal-title":"Procedia Comput Sci"},{"key":"10386_CR32","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1145\/371920.372071","volume":"1","author":"BM Sarwar","year":"2001","unstructured":"Sarwar BM, Karypis G, Konstan JA, Riedl J (2001) Item-based collaborative filtering recommendation algorithms. Www 1:285\u2013295","journal-title":"Www"},{"issue":"2","key":"10386_CR33","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1007\/s13735-018-0154-2","volume":"7","author":"M Schedl","year":"2018","unstructured":"Schedl M, Zamani H, Chen C-W, Deldjoo Y, Elahi M (2018) Current challenges and visions in music recommender systems research. Int J Multimed Information Retriev 7(2):95\u2013116","journal-title":"Int J Multimed Information Retriev"},{"key":"10386_CR34","doi-asserted-by":"crossref","unstructured":"Shakirova E (2017) Collaborative filtering for music recommender system. Paper presented at the 2017 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)","DOI":"10.1109\/EIConRus.2017.7910613"},{"key":"10386_CR35","doi-asserted-by":"crossref","unstructured":"Shikder R, Rahaman S, Afroze F, Al Islam AA (2017) Keystroke\/mouse usage based emotion detection and user identification. Paper presented at the 2017 International Conference on Networking, Systems and Security (NSysS)","DOI":"10.1109\/NSysS.2017.7885808"},{"key":"10386_CR36","unstructured":"Song K-T, Cervantes C (2017) Music playing system and music playing method based on speech emotion recognition. In: Google Patents"},{"key":"10386_CR37","doi-asserted-by":"publisher","first-page":"1587","DOI":"10.1016\/j.procs.2018.08.132","volume":"126","author":"P Sulikowski","year":"2018","unstructured":"Sulikowski P, Zdziebko T, Turzy\u0144ski D, Ka\u0144toch E (2018) Human-website interaction monitoring in recommender systems. Procedia Comput Sci 126:1587\u20131596","journal-title":"Procedia Comput Sci"},{"key":"10386_CR38","doi-asserted-by":"crossref","unstructured":"Sunitha M, Adilakshmi T (2018) Music recommendation system with user-based and item-based collaborative filtering technique. In Networking Communication and Data Knowledge Engineering (pp 267\u2013278): Springer","DOI":"10.1007\/978-981-10-4585-1_22"},{"key":"10386_CR39","doi-asserted-by":"crossref","unstructured":"Tso K, Schmidt-Thieme L (2006) Attribute-aware collaborative filtering. In From data and information analysis to knowledge engineering (pp 614\u2013621): Springer","DOI":"10.1007\/3-540-31314-1_75"},{"key":"10386_CR40","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1016\/j.neucom.2014.08.007","volume":"148","author":"B Xing","year":"2015","unstructured":"Xing B, Zhang K, Sun S, Zhang L, Gao Z, Wang J, Chen S (2015) Emotion-driven Chinese folk music-image retrieval based on DE-SVM. Neurocomput 148:619\u2013627","journal-title":"Neurocomput"},{"key":"10386_CR41","doi-asserted-by":"crossref","unstructured":"Yusefi Hafshejani Z, Kaedi M, Fatemi A (2018) Improving sparsity and new user problems in collaborative filtering by clustering the personality factors. Electron Commerce Res 18(4):813\u2013836","DOI":"10.1007\/s10660-018-9287-x"},{"key":"10386_CR42","doi-asserted-by":"crossref","unstructured":"Zakamulin V (2017) Market Timing with Moving Averages: The Anatomy and Performance of Trading Rules: Springer","DOI":"10.1007\/978-3-319-60970-6"},{"issue":"4","key":"10386_CR43","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 KR (2008) Emotions evoked by the sound of music: characterization, classification, and measurement. Emotion 8(4):494","journal-title":"Emotion"},{"key":"10386_CR44","doi-asserted-by":"publisher","DOI":"10.1109\/CBD.2014.47","volume-title":"Collaborative filtering for recommender systems","author":"R Zhang","year":"2014","unstructured":"Zhang R, Liu Q-d, Chun-Gui, Wei J-X, Huiyi-Ma (2014) Collaborative filtering for recommender systems. Paper presented at the Second International Conference on Advanced Cloud and Big Data (CBD), Huangshan"},{"key":"10386_CR45","volume-title":"Paper presented at the International Conference on Database Systems for Advanced Applications","author":"C Zhou","year":"2018","unstructured":"Zhou C, Jin Y, Zhang K, Li JYS, Wang X (2018) MusicRoBot: Towards Conversational Context-Aware Music Recommender System. In: Paper presented at the International Conference on Database Systems for Advanced Applications. Gold Coast, Australia"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-10386-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-020-10386-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-10386-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,25]],"date-time":"2021-04-25T08:52:25Z","timestamp":1619340745000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-020-10386-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,15]]},"references-count":45,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2021,4]]}},"alternative-id":["10386"],"URL":"https:\/\/doi.org\/10.1007\/s11042-020-10386-7","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,15]]},"assertion":[{"value":"26 July 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 October 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 December 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 January 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}