{"id":"https://openalex.org/W4386728938","doi":"https://doi.org/10.1145/3604915.3610239","title":"Station and Track Attribute-Aware Music Personalization","display_name":"Station and Track Attribute-Aware Music Personalization","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4386728938","doi":"https://doi.org/10.1145/3604915.3610239"},"language":"en","primary_location":{"id":"doi:10.1145/3604915.3610239","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604915.3610239","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 Conference on Recommender Systems","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/A5043296969","display_name":"M. Jeffrey Mei","orcid":"https://orcid.org/0000-0002-1083-598X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"M. Jeffrey Mei","raw_affiliation_strings":["SiriusXM Radio Inc., USA"],"raw_orcid":"https://orcid.org/0000-0002-1083-598X","affiliations":[{"raw_affiliation_string":"SiriusXM Radio Inc., USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092867331","display_name":"Oliver Bembom","orcid":"https://orcid.org/0009-0002-2617-5776"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oliver Bembom","raw_affiliation_strings":["SiriusXM Radio Inc., USA"],"raw_orcid":"https://orcid.org/0009-0002-2617-5776","affiliations":[{"raw_affiliation_string":"SiriusXM Radio Inc., USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085807202","display_name":"Andreas F. Ehmann","orcid":"https://orcid.org/0009-0003-9589-0666"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andreas Ehmann","raw_affiliation_strings":["SiriusXM Radio Inc., USA"],"raw_orcid":"https://orcid.org/0009-0003-9589-0666","affiliations":[{"raw_affiliation_string":"SiriusXM Radio Inc., USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043296969"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3838,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56459301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1031","last_page":"1035"},"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10788","display_name":"Neuroscience and Music Perception","score":0.9872999787330627,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7918388843536377},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.7853495478630066},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7461972832679749},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.625013530254364},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.5253778696060181},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5096578598022461},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4794570207595825},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.449991375207901},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.44685205817222595},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4331130385398865},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38385850191116333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3218836784362793},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3212594985961914},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.30155402421951294},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08068585395812988}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7918388843536377},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7853495478630066},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7461972832679749},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.625013530254364},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.5253778696060181},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5096578598022461},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4794570207595825},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.449991375207901},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.44685205817222595},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4331130385398865},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38385850191116333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3218836784362793},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3212594985961914},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.30155402421951294},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08068585395812988},{"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3604915.3610239","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604915.3610239","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 Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W77034681","https://openalex.org/W1224564842","https://openalex.org/W1915070853","https://openalex.org/W2007858228","https://openalex.org/W2041022395","https://openalex.org/W2048657872","https://openalex.org/W2089885143","https://openalex.org/W2733963828","https://openalex.org/W2748058847","https://openalex.org/W2786672974","https://openalex.org/W2952395326","https://openalex.org/W2963367478","https://openalex.org/W2963601856","https://openalex.org/W2984100107","https://openalex.org/W3005071803","https://openalex.org/W3015523207","https://openalex.org/W3045632199","https://openalex.org/W3092103025","https://openalex.org/W3098942062","https://openalex.org/W3099775457","https://openalex.org/W4286447870","https://openalex.org/W4287792756","https://openalex.org/W4287995909","https://openalex.org/W4288334056","https://openalex.org/W4296591854","https://openalex.org/W4385245566","https://openalex.org/W4385573607"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2368049389","https://openalex.org/W2170801710","https://openalex.org/W2384861574","https://openalex.org/W2963185427","https://openalex.org/W2065296176","https://openalex.org/W2342498029","https://openalex.org/W4225892600"],"abstract_inverted_index":{"We":[0,56,79],"present":[1],"a":[2,11,20],"transformer":[3],"for":[4],"music":[5,108],"personalization":[6],"that":[7,74,82],"recommends":[8],"tracks":[9],"given":[10],"station":[12,34,85],"seed":[13],"(artist)":[14],"and":[15,33,61,71,94,102],"improves":[16,37],"the":[17,38,58,84,91],"accuracy":[18,39],"vs.":[19],"baseline":[21],"matrix":[22],"factorization":[23],"method":[24],"by":[25,43],"10%.":[26],"Adding":[27],"additional":[28,45],"embeddings":[29,60],"to":[30],"capture":[31],"track":[32],"attributes":[35,67,73],"further":[36],"of":[40,87],"our":[41],"recommendations":[42],"an":[44],"1%":[46],"while":[47],"also":[48,80],"improving":[49],"recommendation":[50],"diversity,":[51],"i.e.":[52],"mitigating":[53],"popularity":[54],"bias.":[55],"analyze":[57],"learned":[59],"find":[62,81],"they":[63],"learn":[64],"both":[65],"explicit":[66],"provided":[68],"at":[69],"training":[70],"implicit":[72],"may":[75],"inform":[76],"listener":[77,97],"preferences.":[78],"incorporating":[83],"context":[86],"user":[88],"feedback":[89],"helps":[90,106],"model":[92],"identify":[93],"transfer":[95],"relevant":[96],"preferences":[98],"across":[99],"different":[100],"genres":[101],"artists.":[103],"This":[104],"particularly":[105],"with":[107],"discovery":[109],"on":[110],"new":[111],"stations.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}