{"id":"https://openalex.org/W2894468515","doi":"https://doi.org/10.1145/3267471.3267484","title":"An Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion","display_name":"An Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion","publication_year":2018,"publication_date":"2018-10-02","ids":{"openalex":"https://openalex.org/W2894468515","doi":"https://doi.org/10.1145/3267471.3267484","mag":"2894468515"},"language":"en","primary_location":{"id":"doi:10.1145/3267471.3267484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3267471.3267484","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","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dl.acm.org/citation.cfm?id=3267484","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088872754","display_name":"Diego Monti","orcid":"https://orcid.org/0000-0002-3821-5379"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Diego Monti","raw_affiliation_strings":["Politecnico di Torino"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045705674","display_name":"Enrico Palumbo","orcid":"https://orcid.org/0000-0003-3898-7480"},"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":"Enrico Palumbo","raw_affiliation_strings":["ISMB-EURECOM"],"affiliations":[{"raw_affiliation_string":"ISMB-EURECOM","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088463134","display_name":"Giuseppe Rizzo","orcid":"https://orcid.org/0000-0003-0083-813X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giuseppe Rizzo","raw_affiliation_strings":["ISMB"],"affiliations":[{"raw_affiliation_string":"ISMB","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004094196","display_name":"Pasquale Lisena","orcid":"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":["EURECOM"],"affiliations":[{"raw_affiliation_string":"EURECOM","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022574838","display_name":"Rapha\u00ebl Troncy","orcid":"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":"Rapha\u00ebl Troncy","raw_affiliation_strings":["EURECOM"],"affiliations":[{"raw_affiliation_string":"EURECOM","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000252838","display_name":"Michael J. Fell","orcid":"https://orcid.org/0000-0003-2764-7464"},"institutions":[{"id":"https://openalex.org/I4210126779","display_name":"Observatoire de la C\u00f4te d\u2019Azur","ror":"https://ror.org/039fj2469","country_code":"FR","type":"facility","lineage":["https://openalex.org/I201841394","https://openalex.org/I4210126779"]},{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Michael Fell","raw_affiliation_strings":["Universit\u00e9 C\u00f4te d'Azur"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d'Azur","institution_ids":["https://openalex.org/I4210126779","https://openalex.org/I201841394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049137879","display_name":"Elena Cabrio","orcid":"https://orcid.org/0000-0001-9374-7872"},"institutions":[{"id":"https://openalex.org/I4210126779","display_name":"Observatoire de la C\u00f4te d\u2019Azur","ror":"https://ror.org/039fj2469","country_code":"FR","type":"facility","lineage":["https://openalex.org/I201841394","https://openalex.org/I4210126779"]},{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Elena Cabrio","raw_affiliation_strings":["Universit\u00e9 C\u00f4te d'Azur"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d'Azur","institution_ids":["https://openalex.org/I4210126779","https://openalex.org/I201841394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084048546","display_name":"Maurizio Morisio","orcid":"https://orcid.org/0000-0001-7362-906X"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maurizio Morisio","raw_affiliation_strings":["Politecnico di Torino"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5088872754"],"corresponding_institution_ids":["https://openalex.org/I177477856"],"apc_list":null,"apc_paid":null,"fwci":0.9948,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.77276275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"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":0.9980999827384949,"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":0.9980999827384949,"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":0.9976999759674072,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9847999811172485,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8487609028816223},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7287057042121887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6276564002037048},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5673226714134216},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5278223156929016},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5193825364112854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5161131620407104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4796634018421173},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.46115708351135254},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.448923796415329},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.41518551111221313}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8487609028816223},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7287057042121887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6276564002037048},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5673226714134216},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5278223156929016},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5193825364112854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5161131620407104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4796634018421173},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.46115708351135254},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.448923796415329},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.41518551111221313},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/3267471.3267484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3267471.3267484","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:doi:10.6084/m9.figshare.7176854","is_oa":true,"landing_page_url":"https://dl.acm.org/citation.cfm?id=3267484","pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Presentation"},{"id":"pmh:oai:figshare.com:article/7176854","is_oa":true,"landing_page_url":"https://figshare.com/articles/presentation/An_Ensemble_Approach_of_Recurrent_Neural_Networks_using_Pre-Trained_Embeddings_for_Playlist_Completion/7176854","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:fr.eurecom:5690","is_oa":false,"landing_page_url":"http://www.eurecom.fr/publication/5690","pdf_url":null,"source":{"id":"https://openalex.org/S4377196942","display_name":"Graduate School and Research Center in Digital Science (EURECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1902872","host_organization_name":"EURECOM","host_organization_lineage":["https://openalex.org/I1902872"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"RECSYS 2018, 12th ACM Conference on Recommender Systems, 2-7 October 2018, Vancouver, BC, Canada","raw_type":"Conference"},{"id":"doi:10.6084/m9.figshare.7176854.v1","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.7176854.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.6084/m9.figshare.7176854","is_oa":true,"landing_page_url":"https://dl.acm.org/citation.cfm?id=3267484","pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Presentation"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W168564468","https://openalex.org/W179875071","https://openalex.org/W196214544","https://openalex.org/W1880262756","https://openalex.org/W1905882502","https://openalex.org/W1924770834","https://openalex.org/W2064675550","https://openalex.org/W2751912151","https://openalex.org/W2755129247","https://openalex.org/W2892896937","https://openalex.org/W2919115771","https://openalex.org/W2950133940","https://openalex.org/W4299828299"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W3092950680","https://openalex.org/W4246980185","https://openalex.org/W2150182025","https://openalex.org/W3197542405","https://openalex.org/W2418190244","https://openalex.org/W4238861846","https://openalex.org/W3125580266","https://openalex.org/W44246808"],"abstract_inverted_index":{"This":[0,142],"paper":[1],"describes":[2],"the":[3,6,10,17,59,62,72,77,85,93,96,112,117,121,132,135,139,167],"approach":[4,123,143],"of":[5,19,27,74,158],"D2KLab":[7],"team":[8],"to":[9,83,89,92,154],"RecSys":[11],"Challenge":[12],"2018":[13],"that":[14,55,107],"focuses":[15],"on":[16,124],"task":[18],"playlist":[20,113,151],"completion.":[21],"We":[22,43,115],"propose":[23],"an":[24],"ensemble":[25,122],"strategy":[26,104],"different":[28],"recurrent":[29],"neural":[30],"networks":[31],"leveraging":[32],"pre-trained":[33],"embeddings":[34],"representing":[35],"tracks,":[36,99],"artists,":[37],"albums,":[38],"and":[39,52,120,138,152],"titles":[40],"as":[41,131],"inputs.":[42],"also":[44,163],"use":[45],"lyrics":[46],"from":[47,71],"which":[48,79],"we":[49,56,100],"extract":[50],"semantic":[51],"stylistic":[53],"features":[54],"fed":[57],"into":[58],"network":[60],"for":[61,149],"creative":[63],"track.":[64],"The":[65],"RNN":[66],"learns":[67],"a":[68,102,125,150],"probabilistic":[69],"model":[70],"sequences":[73],"items":[75],"in":[76,146,166],"playlist,":[78],"is":[80,144,162],"then":[81],"used":[82],"predict":[84],"most":[86],"likely":[87],"tracks":[88,148],"be":[90],"added":[91],"playlist.":[94],"Concerning":[95],"playlists":[97],"without":[98],"implemented":[101],"fall-back":[103],"called":[105],"Title2Rec":[106],"generates":[108],"recommendations":[109],"using":[110],"only":[111],"title.":[114],"optimized":[116],"RNN,":[118],"Title2Rec,":[119],"validation":[126],"set,":[127],"tuning":[128],"hyper-parameters":[129],"such":[130],"optimizer":[133],"algorithm,":[134],"learning":[136],"rate,":[137],"generation":[140],"strategy.":[141],"effective":[145],"predicting":[147],"flexible":[153],"include":[155],"diverse":[156],"types":[157],"inputs,":[159],"but":[160],"it":[161],"computationally":[164],"demanding":[165],"training":[168],"phase.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
