{"id":"https://openalex.org/W2041688781","doi":"https://doi.org/10.1145/1631272.1631395","title":"SVR-based music mood classification and context-based music recommendation","display_name":"SVR-based music mood classification and context-based music recommendation","publication_year":2009,"publication_date":"2009-10-19","ids":{"openalex":"https://openalex.org/W2041688781","doi":"https://doi.org/10.1145/1631272.1631395","mag":"2041688781"},"language":"en","primary_location":{"id":"doi:10.1145/1631272.1631395","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1631272.1631395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM international conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073263477","display_name":"Seungmin Rho","orcid":"https://orcid.org/0000-0003-1936-6785"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Seungmin Rho","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017816879","display_name":"Byeong-jun Han","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byeong-jun Han","raw_affiliation_strings":["Korea University, Seoul, South Korea","Korea university - Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Korea university - Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071337745","display_name":"Eenjun Hwang","orcid":"https://orcid.org/0000-0002-0418-4092"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eenjun Hwang","raw_affiliation_strings":["Korea University, Seoul, South Korea","Korea university - Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Korea university - Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073263477"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":4.2852,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.94164456,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"713","last_page":"716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.7341548800468445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6991056203842163},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6837354898452759},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6331701874732971},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5390737652778625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5390623807907104},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5219235420227051},{"id":"https://openalex.org/keywords/music-information-retrieval","display_name":"Music information retrieval","score":0.511751651763916},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47798460721969604},{"id":"https://openalex.org/keywords/multidisciplinary-approach","display_name":"Multidisciplinary approach","score":0.47089627385139465},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.43206220865249634},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1744329035282135},{"id":"https://openalex.org/keywords/musical","display_name":"Musical","score":0.09359177947044373}],"concepts":[{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.7341548800468445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6991056203842163},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6837354898452759},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6331701874732971},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5390737652778625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5390623807907104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5219235420227051},{"id":"https://openalex.org/C2777946086","wikidata":"https://www.wikidata.org/wiki/Q1163335","display_name":"Music information retrieval","level":3,"score":0.511751651763916},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47798460721969604},{"id":"https://openalex.org/C22467394","wikidata":"https://www.wikidata.org/wiki/Q849359","display_name":"Multidisciplinary approach","level":2,"score":0.47089627385139465},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.43206220865249634},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1744329035282135},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.09359177947044373},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1631272.1631395","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1631272.1631395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1694080526","https://openalex.org/W1866281937","https://openalex.org/W1964357740","https://openalex.org/W2024595034","https://openalex.org/W2109173030","https://openalex.org/W2135845071","https://openalex.org/W2148600927","https://openalex.org/W2153635508","https://openalex.org/W2154473523","https://openalex.org/W2161920802","https://openalex.org/W2176561301","https://openalex.org/W2319171828","https://openalex.org/W2938558181","https://openalex.org/W6637179637","https://openalex.org/W6639031803","https://openalex.org/W6656746481"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W4286508873","https://openalex.org/W2150182025","https://openalex.org/W2185045523","https://openalex.org/W2175024588","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W2085671451"],"abstract_inverted_index":{"With":[0],"the":[1,4,42,69,72,86,113],"advent":[2],"of":[3,13,45,71,112],"ubiquitous":[5],"era,":[6],"context-based":[7,46],"music":[8,18,28,50,81,102],"recommendation":[9,19,103],"has":[10],"become":[11],"one":[12],"rapidly":[14],"emerging":[15],"applications.":[16],"Context-based":[17],"requires":[20],"multidisciplinary":[21],"efforts":[22],"including":[23],"low":[24],"level":[25],"feature":[26],"extraction,":[27],"mood":[29,47,53,74,88],"classification":[30,48],"and":[31,49,89,95,109],"human":[32],"emotion":[33],"prediction.":[34],"Especially,":[35],"in":[36],"this":[37,107],"paper,":[38],"we":[39,55,76,83,116],"focus":[40],"on":[41,63,106],"implementation":[43],"issues":[44],"recommendation.":[51],"For":[52,80],"classification,":[54],"reformulate":[56],"it":[57],"into":[58],"a":[59,100],"regression":[60,66],"problem":[61],"based":[62,105],"support":[64],"vector":[65],"(SVR).":[67],"Through":[68],"use":[70],"SVR-based":[73],"classifier,":[75],"achieved":[77],"87.8%":[78],"accuracy.":[79],"recommendation,":[82],"reason":[84],"about":[85],"user's":[87],"situation":[90],"using":[91],"both":[92],"collaborative":[93],"filtering":[94],"ontology":[96],"technology.":[97],"We":[98],"implement":[99],"prototype":[101],"system":[104],"scheme":[108],"report":[110],"some":[111],"results":[114],"that":[115],"obtained.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
