{"id":"https://openalex.org/W3167332654","doi":"https://doi.org/10.1145/3447548.3467110","title":"A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps","display_name":"A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps","publication_year":2021,"publication_date":"2021-08-13","ids":{"openalex":"https://openalex.org/W3167332654","doi":"https://doi.org/10.1145/3447548.3467110","mag":"3167332654"},"language":"en","primary_location":{"id":"doi:10.1145/3447548.3467110","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining","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/A5080866680","display_name":"L\u00e9a Briand","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"L\u00e9a Briand","raw_affiliation_strings":["Deezer Research, Paris, France"],"affiliations":[{"raw_affiliation_string":"Deezer Research, Paris, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078969242","display_name":"Guillaume Salha-Galvan","orcid":"https://orcid.org/0000-0002-2452-1041"},"institutions":[{"id":"https://openalex.org/I4210139461","display_name":"Laboratoire d'Informatique de l'\u00c9cole Polytechnique","ror":"https://ror.org/04afed728","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I142476485","https://openalex.org/I4210139461","https://openalex.org/I4210145102","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Guillaume Salha-Galvan","raw_affiliation_strings":["Deezer Research and LIX, \u00c9cole Polytechnique, Paris, France"],"affiliations":[{"raw_affiliation_string":"Deezer Research and LIX, \u00c9cole Polytechnique, Paris, France","institution_ids":["https://openalex.org/I4210139461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004252064","display_name":"Walid Bendada","orcid":"https://orcid.org/0009-0001-7510-650X"},"institutions":[{"id":"https://openalex.org/I56435720","display_name":"Universit\u00e9 Paris Dauphine-PSL","ror":"https://ror.org/052bz7812","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580","https://openalex.org/I56435720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Walid Bendada","raw_affiliation_strings":["Deezer Research and LAMSADE, Universit\u00e9 Paris Dauphine, Paris, France"],"affiliations":[{"raw_affiliation_string":"Deezer Research and LAMSADE, Universit\u00e9 Paris Dauphine, Paris, France","institution_ids":["https://openalex.org/I56435720"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021973692","display_name":"Mathieu Morlon","orcid":"https://orcid.org/0009-0003-1899-3522"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mathieu Morlon","raw_affiliation_strings":["Deezer Research, Paris, France"],"affiliations":[{"raw_affiliation_string":"Deezer Research, Paris, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065106530","display_name":"Viet-Anh Tran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Viet-Anh Tran","raw_affiliation_strings":["Deezer Research, Paris, France"],"affiliations":[{"raw_affiliation_string":"Deezer Research, Paris, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080866680"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.0823,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.97797161,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2601","last_page":"2609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11309","display_name":"Music and Audio Processing","score":0.996399998664856,"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/T11478","display_name":"Caching and Content Delivery","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.828535795211792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8133387565612793},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.7208114266395569},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.6169923543930054},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.5447363257408142},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5077937245368958},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.4151630401611328},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10855600237846375}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.828535795211792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8133387565612793},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.7208114266395569},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.6169923543930054},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5447363257408142},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5077937245368958},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.4151630401611328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10855600237846375},{"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/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447548.3467110","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1967597310","https://openalex.org/W1995880999","https://openalex.org/W2009415795","https://openalex.org/W2023954349","https://openalex.org/W2025605741","https://openalex.org/W2031305127","https://openalex.org/W2054141820","https://openalex.org/W2108685212","https://openalex.org/W2157881433","https://openalex.org/W2210543184","https://openalex.org/W2250539671","https://openalex.org/W2268996352","https://openalex.org/W2512971201","https://openalex.org/W2515895890","https://openalex.org/W2557283755","https://openalex.org/W2559655401","https://openalex.org/W2605350416","https://openalex.org/W2614028975","https://openalex.org/W2614794251","https://openalex.org/W2739273093","https://openalex.org/W2752904570","https://openalex.org/W2764159532","https://openalex.org/W2776933647","https://openalex.org/W2786915849","https://openalex.org/W2788728386","https://openalex.org/W2807021761","https://openalex.org/W2899849645","https://openalex.org/W2963601856","https://openalex.org/W2964983698","https://openalex.org/W2966750432","https://openalex.org/W2971443991","https://openalex.org/W2989519942","https://openalex.org/W3081484165","https://openalex.org/W3100848837","https://openalex.org/W3102896162","https://openalex.org/W3105096762","https://openalex.org/W3122507327","https://openalex.org/W3124675547","https://openalex.org/W3159332271","https://openalex.org/W3192055963","https://openalex.org/W4293651439","https://openalex.org/W4381545886"],"related_works":["https://openalex.org/W2497939785","https://openalex.org/W2219931199","https://openalex.org/W2735929803","https://openalex.org/W4241927574","https://openalex.org/W2971083348","https://openalex.org/W3214288750","https://openalex.org/W584290403","https://openalex.org/W2786642545","https://openalex.org/W2084560547","https://openalex.org/W4315783862"],"abstract_inverted_index":{"Music":[0],"streaming":[1,72],"services":[2],"heavily":[3],"rely":[4],"on":[5,69,87,94,126,162],"recommender":[6],"systems":[7],"to":[8,35,40,52,75],"improve":[9],"their":[10],"users'":[11],"experience,":[12],"by":[13],"helping":[14],"them":[15],"navigate":[16],"through":[17,128],"a":[18,82,88,95],"large":[19],"musical":[20,120],"catalog":[21],"and":[22,32,93,113,131],"discover":[23],"new":[24,36],"songs,":[25],"albums":[26],"or":[27],"artists.":[28],"However,":[29],"recommending":[30],"relevant":[31],"personalized":[33],"content":[34],"users,":[37],"with":[38,43],"few":[39],"no":[41],"interactions":[42],"the":[44,54,65,70,107,118],"catalog,":[45],"is":[46,49],"challenging.":[47],"This":[48],"commonly":[50],"referred":[51],"as":[53,141,143],"user":[55,163],"cold":[56,123,164],"start":[57,124,165],"problem.":[58,78],"In":[59],"this":[60,77,111,153],"applied":[61],"paper,":[62],"we":[63,136],"present":[64],"system":[66,112],"recently":[67],"deployed":[68],"music":[71],"service":[73],"Deezer":[74],"address":[76],"The":[79],"solution":[80],"leverages":[81],"semi-personalized":[83],"recommendation":[84],"strategy,":[85],"based":[86],"deep":[89],"neural":[90],"network":[91],"architecture":[92],"clustering":[96],"of":[97,102,110,122,155],"users":[98,125],"from":[99,147],"heterogeneous":[100],"sources":[101],"information.":[103],"We":[104,150],"extensively":[105],"show":[106],"practical":[108],"impact":[109],"its":[114],"effectiveness":[115],"at":[116],"predicting":[117],"future":[119,160],"preferences":[121],"Deezer,":[127],"both":[129],"offline":[130],"online":[132],"large-scale":[133],"experiments.":[134,149],"Besides,":[135],"publicly":[137],"release":[138,154],"our":[139,148],"code":[140],"well":[142],"anonymized":[144],"usage":[145],"data":[146],"hope":[151],"that":[152],"industrial":[156],"resources":[157],"will":[158],"benefit":[159],"research":[161],"recommendation.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}