{"id":"https://openalex.org/W3183723840","doi":"https://doi.org/10.5220/0010607700960104","title":"A Longitudinal Model for Song Popularity Prediction","display_name":"A Longitudinal Model for Song Popularity Prediction","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3183723840","doi":"https://doi.org/10.5220/0010607700960104","mag":"3183723840"},"language":"en","primary_location":{"id":"doi:10.5220/0010607700960104","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0010607700960104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Data Science, Technology and Applications","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/A5028985938","display_name":"Ahmet \u00c7imen","orcid":null},"institutions":[{"id":"https://openalex.org/I44925452","display_name":"\u00d6zye\u011fin University","ror":"https://ror.org/01jjhfr75","country_code":"TR","type":"education","lineage":["https://openalex.org/I44925452"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Ahmet \u00c7imen","raw_affiliation_strings":["Department of Industrial Engineering, Ozyegin University, Istanbul, Turkey, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Ozyegin University, Istanbul, Turkey, --- Select a Country ---","institution_ids":["https://openalex.org/I44925452"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030014979","display_name":"Enis Kay\u0131\u015f","orcid":"https://orcid.org/0000-0001-8282-5572"},"institutions":[{"id":"https://openalex.org/I44925452","display_name":"\u00d6zye\u011fin University","ror":"https://ror.org/01jjhfr75","country_code":"TR","type":"education","lineage":["https://openalex.org/I44925452"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Enis Kay\u0131\u015f","raw_affiliation_strings":["Department of Industrial Engineering, Ozyegin University, Istanbul, Turkey, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Ozyegin University, Istanbul, Turkey, --- Select a Country ---","institution_ids":["https://openalex.org/I44925452"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028985938"],"corresponding_institution_ids":["https://openalex.org/I44925452"],"apc_list":null,"apc_paid":null,"fwci":0.4617,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61056305,"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":"96","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9933000206947327,"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":0.9933000206947327,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.8642830848693848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7002900838851929},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09726279973983765}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.8642830848693848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7002900838851929},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09726279973983765},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0010607700960104","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0010607700960104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Data Science, Technology and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:eresearch.ozyegin.edu.tr:10679/7829","is_oa":false,"landing_page_url":"http://hdl.handle.net/10679/7829","pdf_url":null,"source":{"id":"https://openalex.org/S4306400232","display_name":"ECS Journal of Solid State Science and Technology (The Electrochemical Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2802273670","host_organization_name":"Electrochemical Society","host_organization_lineage":["https://openalex.org/I2802273670"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W4294565801","https://openalex.org/W2170801710"],"abstract_inverted_index":{"Usage":[0],"of":[1,22,134,137,178],"new":[2],"generation":[3],"music":[4,176],"streaming":[5],"platforms":[6],"such":[7],"as":[8,88,156,158],"Spotify":[9],"and":[10,44,56,84,120,144],"Apple":[11],"Music":[12],"has":[13],"increased":[14],"rapidly":[15],"in":[16,32,148,166,174],"the":[17,78,107,132,141,145,149,163,167,172,175,179],"last":[18],"years.":[19],"Automatic":[20],"prediction":[21],"a":[23,126,138],"song's":[24],"popularity":[25,52],"is":[26],"valuable":[27],"for":[28,73],"these":[29],"firms":[30],"which":[31],"turn":[33],"translates":[34],"into":[35,106],"higher":[36],"customer":[37],"satisfaction.":[38],"In":[39,91],"this":[40],"study,":[41],"we":[42,80,96],"develop":[43],"compare":[45,60,77],"several":[46],"statistical":[47],"models":[48],"to":[49,65,93,116],"predict":[50],"song":[51,103,118,139],"by":[53],"using":[54,125,140],"acoustic":[55,86,94,98,142],"artist-related":[57],"features.":[58],"We":[59,109],"results":[61],"from":[62],"two":[63],"countries":[64],"understand":[66],"whether":[67],"there":[68],"are":[69],"any":[70],"cultural":[71],"differences":[72,155],"popular":[74],"songs.":[75],"To":[76],"results,":[79],"use":[81],"weekly":[82,135,153],"charts":[83],"songs'":[85],"features":[87,105,143,147],"data":[89],"sources.":[90],"addition":[92],"features,":[95],"add":[97],"similarity,":[99],"genre,":[100],"local":[101],"popularity,":[102],"recentness":[104],"dataset.":[108],"applied":[110],"Flexible":[111],"Least":[112],"Squares":[113],"(FLS)":[114],"method":[115,130],"estimate":[117],"streams":[119,136],"observe":[121],"time-varying":[122],"regression":[123,168],"coefficients":[124,169],"quadratic":[127],"program.":[128],"FLS":[129],"predicts":[131],"number":[133],"additional":[146],"dataset":[150],"while":[151],"keeping":[152],"model":[154],"small":[157],"possible.":[159],"Results":[160],"show":[161],"that":[162],"significant":[164],"changes":[165,173],"may":[170],"reflect":[171],"tastes":[177],"countries.":[180]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}