{"id":"https://openalex.org/W4210698306","doi":"https://doi.org/10.1109/tmm.2022.3146002","title":"Can Machines Generate Personalized Music? A Hybrid Favorite-Aware Method for User Preference Music Transfer","display_name":"Can Machines Generate Personalized Music? A Hybrid Favorite-Aware Method for User Preference Music Transfer","publication_year":2022,"publication_date":"2022-01-25","ids":{"openalex":"https://openalex.org/W4210698306","doi":"https://doi.org/10.1109/tmm.2022.3146002"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2022.3146002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3146002","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5066398531","display_name":"Zhejing Hu","orcid":"https://orcid.org/0000-0002-9424-9071"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Zhejing Hu","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-9424-9071","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351175","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0003-4242-4840"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-4242-4840","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389843","display_name":"Gong Chen","orcid":"https://orcid.org/0000-0003-2098-1291"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Gong Chen","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101873675","display_name":"Yongxu Liu","orcid":"https://orcid.org/0000-0002-7267-7972"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yongxu Liu","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-7267-7972","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066398531"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":1.1903,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.76574623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"25","issue":null,"first_page":"2296","last_page":"2308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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/T10788","display_name":"Neuroscience and Music Perception","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.9975000023841858,"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/computer-science","display_name":"Computer science","score":0.8249011039733887},{"id":"https://openalex.org/keywords/melody","display_name":"Melody","score":0.731285572052002},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6064094305038452},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5564880967140198},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4210147261619568},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4147638976573944},{"id":"https://openalex.org/keywords/pop-music-automation","display_name":"Pop music automation","score":0.4144590497016907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34383171796798706},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33833691477775574},{"id":"https://openalex.org/keywords/musical","display_name":"Musical","score":0.29392969608306885},{"id":"https://openalex.org/keywords/musical-composition","display_name":"Musical composition","score":0.22685354948043823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8249011039733887},{"id":"https://openalex.org/C43803900","wikidata":"https://www.wikidata.org/wiki/Q170412","display_name":"Melody","level":3,"score":0.731285572052002},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6064094305038452},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5564880967140198},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4210147261619568},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4147638976573944},{"id":"https://openalex.org/C73520026","wikidata":"https://www.wikidata.org/wiki/Q7229091","display_name":"Pop music automation","level":4,"score":0.4144590497016907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34383171796798706},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33833691477775574},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.29392969608306885},{"id":"https://openalex.org/C109568592","wikidata":"https://www.wikidata.org/wiki/Q207628","display_name":"Musical composition","level":3,"score":0.22685354948043823},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2022.3146002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3146002","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W185379321","https://openalex.org/W2106989300","https://openalex.org/W2119472994","https://openalex.org/W2122056787","https://openalex.org/W2155836578","https://openalex.org/W2331606682","https://openalex.org/W2581887665","https://openalex.org/W2797595207","https://openalex.org/W2884555797","https://openalex.org/W2891757161","https://openalex.org/W2902922910","https://openalex.org/W2936423599","https://openalex.org/W2948574791","https://openalex.org/W2952405182","https://openalex.org/W2954914497","https://openalex.org/W2962750014","https://openalex.org/W2962775980","https://openalex.org/W2963233633","https://openalex.org/W2963277062","https://openalex.org/W2963889406","https://openalex.org/W2963920537","https://openalex.org/W2964110616","https://openalex.org/W2964706117","https://openalex.org/W2969803502","https://openalex.org/W2979062293","https://openalex.org/W2979938509","https://openalex.org/W2991108091","https://openalex.org/W3015625764","https://openalex.org/W3038090892","https://openalex.org/W3080857286","https://openalex.org/W3088609283","https://openalex.org/W3092809979","https://openalex.org/W3092850823","https://openalex.org/W3092879656","https://openalex.org/W3163885138","https://openalex.org/W4238344759","https://openalex.org/W4287995946","https://openalex.org/W4288287237","https://openalex.org/W4288351558","https://openalex.org/W4288366059","https://openalex.org/W4293181161","https://openalex.org/W4294233090","https://openalex.org/W4385245566","https://openalex.org/W6607460322","https://openalex.org/W6640129087","https://openalex.org/W6640174519","https://openalex.org/W6739901393","https://openalex.org/W6743201118","https://openalex.org/W6752096078","https://openalex.org/W6752520852","https://openalex.org/W6754559877","https://openalex.org/W6755406732","https://openalex.org/W6756669892","https://openalex.org/W6757028937","https://openalex.org/W6761999811","https://openalex.org/W6763362620","https://openalex.org/W6763464472","https://openalex.org/W6765005523","https://openalex.org/W6765759998","https://openalex.org/W6768454739","https://openalex.org/W6769216209","https://openalex.org/W6771747371","https://openalex.org/W6779680736","https://openalex.org/W6950011876"],"related_works":["https://openalex.org/W2118466154","https://openalex.org/W2118371117","https://openalex.org/W4247380401","https://openalex.org/W60977145","https://openalex.org/W2947063949","https://openalex.org/W1880976080","https://openalex.org/W1869659980","https://openalex.org/W3191741567","https://openalex.org/W2395530324","https://openalex.org/W2085778999"],"abstract_inverted_index":{"User":[0,87],"preference":[1],"music":[2,10,47,109,142,159,207],"transfer":[3,12,49,133],"(UPMT)":[4],"is":[5,63],"a":[6,29,59,82,100,117,145,164,195],"new":[7,118,165],"problem":[8,153],"in":[9,111,131,144,158,194,211],"style":[11,48,160],"that":[13,183,204],"can":[14,40,67],"be":[15],"applied":[16],"to":[17,27,122,135,150,171],"many":[18],"scenarios":[19],"but":[20],"remains":[21],"understudied.":[22],"Transferring":[23],"an":[24],"arbitrary":[25],"song":[26],"fit":[28],"user\u2019s":[30,101,146],"preferences":[31],"increases":[32],"musical":[33],"diversity":[34],"and":[35,214],"improves":[36],"user":[37,215],"engagement,":[38],"which":[39,91],"greatly":[41],"benefit":[42],"individuals\u2019":[43],"mental":[44],"health.":[45],"Most":[46],"approaches":[50],"rely":[51],"on":[52,105,139,201],"data-driven":[53],"methods.":[54],"In":[55],"general,":[56],"however,":[57],"constructing":[58],"large":[60],"training":[61],"dataset":[62],"challenging":[64],"because":[65],"users":[66],"rarely":[68],"provide":[69],"enough":[70],"of":[71,95,99,108,154,178,186],"their":[72],"favorite":[73,102,147],"songs.":[74],"To":[75],"address":[76],"this":[77,79],"problem,":[78],"paper":[80],"proposes":[81],"novel":[83],"hybrid":[84],"method":[85],"called":[86,167],"Preference":[88],"Transformer":[89],"(UP-Transformer)":[90],"uses":[92],"prior":[93],"knowledge":[94],"only":[96],"one":[97],"piece":[98],"music.":[103,148,179],"Based":[104],"the":[106,112,124,132,140,152,173,184,191,205],"distribution":[107],"events":[110],"provided":[113],"music,":[114],"we":[115,162],"propose":[116,163],"favorite-aware":[119],"loss":[120],"function":[121],"fine-tune":[123],"Transformer-based":[125],"model.":[126],"Two":[127],"steps":[128],"are":[129,188],"proposed":[130],"phase":[134],"achieve":[136],"UPMT":[137],"based":[138],"extracted":[141],"pattern":[143,168],"Additionally,":[149],"alleviate":[151],"evaluating":[155],"melodic":[156],"similarity":[157,169,174,192],"transfer,":[161],"concept":[166],"(PS)":[170],"measure":[172],"between":[175],"two":[176],"pieces":[177],"Statistical":[180],"tests":[181],"indicate":[182],"results":[185,200],"PS":[187],"consistent":[189],"with":[190],"score":[193],"qualitative":[196],"experiment.":[197],"Furthermore,":[198],"experimental":[199],"subjects":[202],"show":[203],"transferred":[206],"achieves":[208],"better":[209],"performance":[210],"musicality,":[212],"similarity,":[213],"preferences.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}