{"id":"https://openalex.org/W2895769822","doi":"https://doi.org/10.1145/3267471.3267485","title":"Towards Seed-Free Music Playlist Generation","display_name":"Towards Seed-Free Music Playlist Generation","publication_year":2018,"publication_date":"2018-10-02","ids":{"openalex":"https://openalex.org/W2895769822","doi":"https://doi.org/10.1145/3267471.3267485","mag":"2895769822"},"language":"en","primary_location":{"id":"doi:10.1145/3267471.3267485","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3267471.3267485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Recommender Systems Challenge 2018","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/A5049002444","display_name":"Jaehun Kim","orcid":"https://orcid.org/0000-0001-5744-9034"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jaehun Kim","raw_affiliation_strings":["TU Delft, Delft, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Delft, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041096205","display_name":"Minz Won","orcid":"https://orcid.org/0000-0002-6921-1733"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Minz Won","raw_affiliation_strings":["Universitat Pompeu Fabra, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Pompeu Fabra, Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022063970","display_name":"Cynthia C. S. Liem","orcid":"https://orcid.org/0000-0002-5385-7695"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Cynthia C. S. Liem","raw_affiliation_strings":["TU Delft, Delft, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Delft, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037486611","display_name":"Alan Hanjali\u0107","orcid":"https://orcid.org/0000-0002-5771-2549"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alan Hanjalic","raw_affiliation_strings":["TU Delft, Delft, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Delft, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3119,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.81841982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10028","display_name":"Topic Modeling","score":0.9962999820709229,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8531286716461182},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6390695571899414},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6041551232337952},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5834311842918396},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5563061237335205},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4758046567440033},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4408157467842102},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.44020792841911316},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.43666568398475647},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.4310995042324066},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4211732745170593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41663533449172974},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.41352805495262146},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22908303141593933}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8531286716461182},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6390695571899414},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6041551232337952},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5834311842918396},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5563061237335205},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4758046567440033},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4408157467842102},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.44020792841911316},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.43666568398475647},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.4310995042324066},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4211732745170593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41663533449172974},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.41352805495262146},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22908303141593933},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"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/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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3267471.3267485","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3267471.3267485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Recommender Systems Challenge 2018","raw_type":"proceedings-article"},{"id":"pmh:oai:tudelft.nl:uuid:ec345852-ae51-436c-b87a-63b468bbf15a","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:ec345852-ae51-436c-b87a-63b468bbf15a","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3402147602","display_name":null,"funder_award_id":"MDM-2015-0502","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"}],"funders":[{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W395933519","https://openalex.org/W1940872118","https://openalex.org/W1987262936","https://openalex.org/W2008886893","https://openalex.org/W2048657872","https://openalex.org/W2054141820","https://openalex.org/W2064675550","https://openalex.org/W2100235918","https://openalex.org/W2101409192","https://openalex.org/W2125031621","https://openalex.org/W2137028279","https://openalex.org/W2155119555","https://openalex.org/W2402268235","https://openalex.org/W2493916176","https://openalex.org/W2604959036","https://openalex.org/W2892896937","https://openalex.org/W2950133940","https://openalex.org/W3019890940","https://openalex.org/W4212774754"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,62],"propose":[4],"a":[5,14,19,40,44,114],"hybrid":[6],"Neural":[7,46],"Collaborative":[8],"Filtering":[9],"(NCF)":[10],"model":[11,74],"trained":[12],"with":[13,34],"multi-objective":[15,90],"function":[16],"to":[17,49,75],"achieve":[18],"music":[20,111],"playlist":[21,56,97,116],"generation":[22],"system.":[23],"The":[24,99],"proposed":[25,89,105],"approach":[26,106],"focuses":[27],"particularly":[28],"on":[29,124],"the":[30,55,60,71,88,104,128],"cold-start":[31],"problem":[32],"(playlists":[33],"no":[35],"seed":[36],"tracks)":[37],"and":[38,81],"uses":[39],"text":[41],"encoder":[42],"employing":[43],"Recurrent":[45],"Network":[47],"(RNN)":[48],"exploit":[50],"textual":[51],"information":[52],"given":[53,115],"by":[54,127],"title.":[57],"To":[58],"accelerate":[59],"training,":[61],"first":[63],"apply":[64],"Weighted":[65],"Regularized":[66],"Matrix":[67],"Factorization":[68],"(WRMF)":[69],"as":[70],"basic":[72],"recommendation":[73,121],"pre-learn":[76],"latent":[77],"factors":[78,84],"of":[79,96],"playlists":[80,126],"tracks.":[82],"These":[83],"then":[85],"feed":[86],"into":[87],"optimization":[91],"that":[92,103],"also":[93],"involves":[94],"embeddings":[95],"titles.":[98],"experimental":[100],"study":[101],"indicates":[102],"can":[107],"effectively":[108],"suggest":[109],"suitable":[110],"tracks":[112],"for":[113],"title,":[117],"compensating":[118],"poor":[119],"original":[120],"results":[122],"made":[123],"empty":[125],"WRMF":[129],"model.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2018-10-12T00:00:00"}
