{"id":"https://openalex.org/W7225422280","doi":"https://doi.org/10.1145/3859880","title":"Playlist Generation from Titles: Transformers vs. Large Language Models","display_name":"Playlist Generation from Titles: Transformers vs. Large Language Models","publication_year":2026,"publication_date":"2026-11-06","ids":{"openalex":"https://openalex.org/W7225422280","doi":"https://doi.org/10.1145/3859880"},"language":"en","primary_location":{"id":"doi:10.1145/3859880","doi":"https://doi.org/10.1145/3859880","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3859880","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3859880?download=true","source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-c","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Recommender Systems","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3859880?download=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119556672","display_name":"Enzo Charolois-Pasqua","orcid":"https://orcid.org/0009-0004-9659-8816","observed_orcids":["https://orcid.org/0009-0004-9659-8816"]},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Enzo Charolois-Pasqua","raw_affiliation_strings":["Data Science, EURECOM"],"raw_orcid":"https://orcid.org/0009-0004-9659-8816","affiliations":[{"raw_affiliation_string":"Data Science, EURECOM","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119556671","display_name":"El\u00e9a Vellard","orcid":"https://orcid.org/0009-0006-1050-6736","observed_orcids":["https://orcid.org/0009-0006-1050-6736"]},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Elea Vellard","raw_affiliation_strings":["Data Science, EURECOM"],"raw_orcid":"https://orcid.org/0009-0006-1050-6736","affiliations":[{"raw_affiliation_string":"Data Science, EURECOM","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082724158","display_name":"Youssra Rebboud","orcid":"https://orcid.org/0000-0003-3507-5646","observed_orcids":["https://orcid.org/0000-0003-3507-5646"]},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Youssra Rebboud","raw_affiliation_strings":["Data Science, EURECOM"],"raw_orcid":"https://orcid.org/0000-0003-3507-5646","affiliations":[{"raw_affiliation_string":"Data Science, EURECOM","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004094196","display_name":"Pasquale Lisena","orcid":"https://orcid.org/0000-0003-3094-5585","observed_orcids":["https://orcid.org/0000-0003-3094-5585"]},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pasquale Lisena","raw_affiliation_strings":["Data Science, EURECOM"],"raw_orcid":"https://orcid.org/0000-0003-3094-5585","affiliations":[{"raw_affiliation_string":"Data Science, EURECOM","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022574838","display_name":"Rapha\u00ebl Troncy A","orcid":"https://orcid.org/0000-0003-0457-1436","observed_orcids":["https://orcid.org/0000-0003-0457-1436"]},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Raphael Troncy","raw_affiliation_strings":["Data Science, EURECOM"],"raw_orcid":"https://orcid.org/0000-0003-0457-1436","affiliations":[{"raw_affiliation_string":"Data Science, EURECOM","institution_ids":["https://openalex.org/I1902872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1902872"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T10028","display_name":"Topic Modeling","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.0003000000142492354,"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/playlist-generation","display_name":"playlist generation","score":0.9890000224113464},{"id":"https://openalex.org/keywords/music-recommendation","display_name":"music recommendation","score":0.8880000114440918},{"id":"https://openalex.org/keywords/semantic-clustering","display_name":"semantic clustering","score":0.5929999947547913},{"id":"https://openalex.org/keywords/text-embeddings","display_name":"text embeddings","score":0.9480000138282776},{"id":"https://openalex.org/keywords/transformer-fine-tuning","display_name":"transformer fine-tuning","score":0.8740000128746033},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.8769999742507935},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"cosine similarity","score":0.7519999742507935},{"id":"https://openalex.org/keywords/zero-shot-recommendation","display_name":"zero-shot recommendation","score":0.8989999890327454},{"id":"https://openalex.org/keywords/thematic-coherence","display_name":"thematic coherence","score":0.75}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7781000137329102},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5978000164031982},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.5619999766349792},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.555400013923645},{"id":"https://openalex.org/C93692415","wikidata":"https://www.wikidata.org/wiki/Q1502030","display_name":"Thematic map","level":2,"score":0.5224999785423279},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4966999888420105},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.48579999804496765},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.4207000136375427},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4000999927520752},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4000000059604645},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.3959999978542328},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.37869998812675476},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35040000081062317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33340001106262207},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.33149999380111694},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.31380000710487366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2745000123977661},{"id":"https://openalex.org/C104054115","wikidata":"https://www.wikidata.org/wiki/Q216828","display_name":"Cohesion (chemistry)","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.26750001311302185},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.2639999985694885},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.26249998807907104},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.25600001215934753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3859880","doi":"https://doi.org/10.1145/3859880","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3859880","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3859880?download=true","source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-c","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Recommender Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3859880","doi":"https://doi.org/10.1145/3859880","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3859880","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3859880?download=true","source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-c","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Recommender Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3516733565","display_name":null,"funder_award_id":"DOS0256163/00","funder_id":"https://openalex.org/F4320316512","funder_display_name":"Bpifrance"}],"funders":[{"id":"https://openalex.org/F4320316512","display_name":"Bpifrance","ror":"https://ror.org/008zkt807"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7225422280.pdf","grobid_xml":"https://content.openalex.org/works/W7225422280.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W2096733369","https://openalex.org/W2108630796","https://openalex.org/W2493916176","https://openalex.org/W2892896937","https://openalex.org/W2894468515","https://openalex.org/W2895245677","https://openalex.org/W2895769822","https://openalex.org/W2970641574","https://openalex.org/W3119828346","https://openalex.org/W3193246203","https://openalex.org/W4283366562","https://openalex.org/W4311991106","https://openalex.org/W4327644095","https://openalex.org/W4391520039","https://openalex.org/W4401306886","https://openalex.org/W4401516066","https://openalex.org/W4407764961","https://openalex.org/W4409166188","https://openalex.org/W4411549468","https://openalex.org/W4412825747","https://openalex.org/W4412889887","https://openalex.org/W4414034776","https://openalex.org/W4414034803","https://openalex.org/W4414034848","https://openalex.org/W4414034885","https://openalex.org/W4414035013","https://openalex.org/W4414035062","https://openalex.org/W4414035064","https://openalex.org/W4414939355","https://openalex.org/W4417222472","https://openalex.org/W6947991961","https://openalex.org/W7106248926","https://openalex.org/W7212112078"],"related_works":["https://openalex.org/W4414034795","https://openalex.org/W3119828346","https://openalex.org/W4414034885","https://openalex.org/W3205255910","https://openalex.org/W6912917916","https://openalex.org/W7140109266","https://openalex.org/W4417222472","https://openalex.org/W3036309266","https://openalex.org/W4414034792","https://openalex.org/W7015828328"],"abstract_inverted_index":{"The":[0],"title":[1,52,118],"of":[2,59],"a":[3,35,50,69,92,99,120,127],"playlist":[4,39,51,117],"often":[5],"reflects":[6],"an":[7,103],"intended":[8],"mood":[9],"or":[10],"theme,":[11],"allowing":[12],"creators":[13],"to":[14,23,38,44],"easily":[15],"locate":[16],"their":[17],"content":[18],"and":[19,30,53,87,90,102,110],"enabling":[20],"other":[21],"users":[22],"discover":[24],"music":[25],"that":[26,114],"matches":[27],"specific":[28],"situations":[29],"needs.":[31],"This":[32],"work":[33],"presents":[34],"novel":[36],"approach":[37],"generation":[40],"using":[41,115],"language":[42],"models":[43],"leverage":[45],"the":[46,81,116],"thematic":[47,74],"coherence":[48],"between":[49,85],"its":[54],"tracks.":[55],"Our":[56],"method":[57],"consists":[58],"creating":[60],"semantic":[61],"clusters":[62],"from":[63],"text":[64],"embeddings,":[65],"followed":[66],"by":[67],"fine-tuning":[68],"transformer":[70],"model":[71],"on":[72],"these":[73],"clusters.":[75],"Playlists":[76],"are":[77],"then":[78],"generated":[79],"considering":[80],"cosine":[82],"similarity":[83],"scores":[84],"known":[86],"unknown":[88],"titles":[89],"applying":[91],"ranking":[93],"mechanism,":[94],"for":[95],"which":[96],"we":[97],"compare":[98],"voting":[100],"system":[101],"LLM-based":[104],"ranker.":[105],"Performance":[106],"evaluation,":[107],"combining":[108],"quantitative":[109],"qualitative":[111],"metrics,":[112],"demonstrates":[113],"as":[119],"seed":[121],"provides":[122],"useful":[123],"recommendations,":[124],"even":[125],"in":[126],"zero-shot":[128],"scenario.":[129]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-11-07T00:00:00"}