{"id":"https://openalex.org/W3207744121","doi":"https://doi.org/10.1109/iisa52424.2021.9555546","title":"Five-Factor Musical Preference Prediction for Solving New User Cold-Start Problem in Content-Based Music Recommender System","display_name":"Five-Factor Musical Preference Prediction for Solving New User Cold-Start Problem in Content-Based Music Recommender System","publication_year":2021,"publication_date":"2021-07-12","ids":{"openalex":"https://openalex.org/W3207744121","doi":"https://doi.org/10.1109/iisa52424.2021.9555546","mag":"3207744121"},"language":"en","primary_location":{"id":"doi:10.1109/iisa52424.2021.9555546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa52424.2021.9555546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Information, Intelligence, Systems &amp; Applications (IISA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5036154412","display_name":"Keisuke Okada","orcid":null},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keisuke Okada","raw_affiliation_strings":["Graduate School of Engineering and Science, Shibaura Institute of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering and Science, Shibaura Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I171481255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073937678","display_name":"Phan Xuan Tan","orcid":"https://orcid.org/0000-0002-9592-0226"},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Phan Xuan Tan","raw_affiliation_strings":["Graduate School of Engineering and Science, Shibaura Institute of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering and Science, Shibaura Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I171481255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022186528","display_name":"Eiji Kamioka","orcid":"https://orcid.org/0000-0003-2155-4507"},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Eiji Kamioka","raw_affiliation_strings":["Graduate School of Engineering and Science, Shibaura Institute of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering and Science, Shibaura Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I171481255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I171481255"],"apc_list":null,"apc_paid":null,"fwci":0.7252,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70403092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9984999895095825,"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":0.9750999808311462,"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/recommender-system","display_name":"Recommender system","score":0.8456268906593323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7563000917434692},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.7236793637275696},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6580874919891357},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.5754076838493347},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.5262529253959656},{"id":"https://openalex.org/keywords/witness","display_name":"Witness","score":0.4469279646873474},{"id":"https://openalex.org/keywords/user-profile","display_name":"User profile","score":0.4422558546066284},{"id":"https://openalex.org/keywords/musical","display_name":"Musical","score":0.43276649713516235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4208413362503052},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36313769221305847},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3475576639175415},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22964146733283997},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11028778553009033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07694220542907715}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8456268906593323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7563000917434692},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.7236793637275696},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6580874919891357},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.5754076838493347},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.5262529253959656},{"id":"https://openalex.org/C2776900844","wikidata":"https://www.wikidata.org/wiki/Q8028383","display_name":"Witness","level":2,"score":0.4469279646873474},{"id":"https://openalex.org/C2780150774","wikidata":"https://www.wikidata.org/wiki/Q252500","display_name":"User profile","level":2,"score":0.4422558546066284},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.43276649713516235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4208413362503052},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36313769221305847},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3475576639175415},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22964146733283997},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11028778553009033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07694220542907715},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iisa52424.2021.9555546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa52424.2021.9555546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Information, Intelligence, Systems &amp; Applications (IISA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1898963836","https://openalex.org/W1930741297","https://openalex.org/W1964870623","https://openalex.org/W1968538514","https://openalex.org/W1992745256","https://openalex.org/W1997898747","https://openalex.org/W2009415795","https://openalex.org/W2017794475","https://openalex.org/W2026543586","https://openalex.org/W2090641502","https://openalex.org/W2116088924","https://openalex.org/W2231488453","https://openalex.org/W2319794630","https://openalex.org/W2764159532","https://openalex.org/W2776933647","https://openalex.org/W3105096762","https://openalex.org/W4234137829","https://openalex.org/W7047381192"],"related_works":["https://openalex.org/W2497939785","https://openalex.org/W2219931199","https://openalex.org/W4241927574","https://openalex.org/W2735929803","https://openalex.org/W2971083348","https://openalex.org/W584290403","https://openalex.org/W3214288750","https://openalex.org/W2786642545","https://openalex.org/W3095646726","https://openalex.org/W2084560547"],"abstract_inverted_index":{"Recent":[0],"years":[1],"witness":[2],"a":[3,75,110],"boom":[4],"in":[5,102,139,208,217],"music":[6,105],"recommender":[7,106],"systems":[8,20],"due":[9],"to":[10,26,56,89,112,156,164],"the":[11,27,33,45,52,65,91,97,103,114,119,136,140,146,166,178,184,193,202,205,210,214,218],"success":[12],"of":[13,118,135,148,204,213],"online":[14],"streaming":[15],"services.":[16],"Even":[17],"though":[18],"such":[19],"have":[21,49],"brought":[22],"relatively":[23],"high-quality":[24],"recommendations":[25],"users,":[28],"they":[29],"are":[30,129,162],"still":[31],"facing":[32],"cold-start":[34,100],"problem,":[35],"especially":[36],"for":[37,64,172,196],"new":[38,53,66,98,215],"user":[39,67,99,137,216],"case.":[40],"This":[41],"problem":[42],"happens":[43],"when":[44,127],"system":[46],"does":[47],"not":[48],"information":[50,147],"about":[51],"user\u2019s":[54,92,185],"preferences":[55,63],"provide":[57],"recommendations.":[58,174,198],"Therefore,":[59],"effectively":[60],"predicting":[61,209],"musical":[62,169,211],"becomes":[68],"vital.":[69],"In":[70],"this":[71],"paper,":[72],"we":[73,108,143],"leverage":[74],"five-factor":[76,115,168,180],"MUSIC":[77],"model":[78],"which":[79],"is":[80],"characterized":[81],"by":[82],"Mellow,":[83],"Unpretentious,":[84],"Sophisticated,":[85],"Intense,":[86],"and":[87,131,150,188],"Contemporary":[88],"represent":[90],"preference.":[93],"Then,":[94],"towards":[95],"solving":[96],"problems":[101],"content-based":[104],"system,":[107],"propose":[109],"method":[111,207],"predict":[113,165],"preference":[116,170,212],"profile":[117,171,181,195],"novel":[120],"user.":[121],"We":[122,175],"consider":[123],"an":[124],"early-stage":[125],"scenario":[126],"there":[128],"no":[130],"few":[132],"rating":[133,186],"data":[134,187],"available":[138],"system.":[141],"Accordingly,":[142],"first":[144,167,194],"use":[145],"age":[149],"brain":[151],"type":[152],"extracted":[153],"from":[154],"questionnaires":[155],"build":[157],"regression":[158],"models.":[159],"These":[160],"models":[161],"used":[163],"initial":[173],"then":[176],"estimate":[177],"second":[179],"based":[182],"on":[183],"linearly":[189],"combine":[190],"it":[191],"with":[192],"improving":[197],"The":[199],"results":[200],"demonstrated":[201],"effectiveness":[203],"proposed":[206],"assumed":[219],"scenario.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
