{"id":"https://openalex.org/W4211075818","doi":"https://doi.org/10.1109/tnnls.2022.3146968","title":"Music Recommendation via Hypergraph Embedding","display_name":"Music Recommendation via Hypergraph Embedding","publication_year":2022,"publication_date":"2022-02-10","ids":{"openalex":"https://openalex.org/W4211075818","doi":"https://doi.org/10.1109/tnnls.2022.3146968","pmid":"https://pubmed.ncbi.nlm.nih.gov/35143406"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3146968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3146968","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Valerio La Gatta","orcid":"https://orcid.org/0000-0002-5941-4684"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Valerio La Gatta","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Vincenzo Moscato","orcid":"https://orcid.org/0000-0002-0754-7696"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vincenzo Moscato","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mirko Pennone","orcid":"https://orcid.org/0000-0001-6371-2249"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mirko Pennone","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Marco Postiglione","orcid":"https://orcid.org/0000-0003-1470-8053"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Postiglione","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":null,"display_name":"Giancarlo Sperl\u00ed","orcid":"https://orcid.org/0000-0003-4033-3777"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giancarlo Sperl\u00ed","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":12.5576,"has_fulltext":false,"cited_by_count":96,"citation_normalized_percentile":{"value":0.98935307,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"34","issue":"10","first_page":"7887","last_page":"7899"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.6776999831199646,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.6776999831199646,"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":0.07100000232458115,"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":0.06790000200271606,"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/hypergraph","display_name":"Hypergraph","score":0.817300021648407},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6985999941825867},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6098999977111816},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6051999926567078},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5115000009536743},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.45249998569488525}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.817300021648407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7950999736785889},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6985999941825867},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6098999977111816},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6051999926567078},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5115000009536743},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45249998569488525},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4083999991416931},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.36649999022483826},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32739999890327454},{"id":"https://openalex.org/C195818886","wikidata":"https://www.wikidata.org/wiki/Q5421724","display_name":"Expressive power","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29919999837875366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29580000042915344},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2750999927520752},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.26489999890327454},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3146968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3146968","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:35143406","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35143406","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W281665770","https://openalex.org/W1888005072","https://openalex.org/W1976320242","https://openalex.org/W1985854669","https://openalex.org/W2009415795","https://openalex.org/W2101409192","https://openalex.org/W2112008792","https://openalex.org/W2137028279","https://openalex.org/W2154851992","https://openalex.org/W2341865734","https://openalex.org/W2733963828","https://openalex.org/W2790068398","https://openalex.org/W2808576980","https://openalex.org/W2913696439","https://openalex.org/W2998036243","https://openalex.org/W3016629994","https://openalex.org/W3089046133","https://openalex.org/W6601546654","https://openalex.org/W6601941550","https://openalex.org/W6636510571","https://openalex.org/W6682691769","https://openalex.org/W6690230747","https://openalex.org/W6744557953","https://openalex.org/W6757078134","https://openalex.org/W6757374366","https://openalex.org/W6757788297","https://openalex.org/W6768604547","https://openalex.org/W6785482172","https://openalex.org/W6786814472","https://openalex.org/W6790245044"],"related_works":[],"abstract_inverted_index":{"In":[0,54],"recent":[1,197],"years,":[2],"we":[3,125],"have":[4,182],"witnessed":[5],"an":[6],"ever":[7],"wider":[8],"spread":[9],"of":[10,45,59,76,106,121,188],"multimedia":[11,46],"streaming":[12,236],"platforms":[13],"(e.g.,":[14,65],"Netflix,":[15],"Spotify,":[16],"and":[17,24,52,61,87,155,160,186],"Amazon).":[18],"Hence,":[19],"it":[20],"has":[21],"become":[22],"more":[23,25],"essential":[26],"to":[27,37,49,68,83,100,149,173,193,231],"provide":[28,169],"such":[29],"systems":[30],"with":[31,112,162,191],"advanced":[32],"recommendation":[33,86,131,138],"facilities,":[34],"in":[35,40,110,118,217],"order":[36],"support":[38],"users":[39,66,159],"browsing":[41],"these":[42],"massive":[43],"collections":[44],"data":[47,108,145],"according":[48],"their":[50,62,77],"preferences":[51],"needs.":[53],"this":[55,93,95],"context,":[56],"the":[57,80,85,89,97,102,119,153,163,175,184,194,202,220],"modeling":[58],"entities":[60],"complex":[63,156],"relationships":[64],"listening":[67],"topic-based":[69],"songs":[70,161],"or":[71],"authors":[72],"creating":[73],"different":[74],"releases":[75],"lyrics)":[78],"represents":[79],"key":[81],"challenge":[82],"improve":[84],"maximize":[88],"users'":[90],"satisfaction.":[91],"To":[92],"end,":[94],"is":[96],"first":[98],"study":[99],"leverage":[101],"high":[103],"representative":[104],"power":[105],"hypergraph":[107,127,141,144],"structures":[109],"combination":[111],"modern":[113],"graph":[114],"machine":[115],"learning":[116],"techniques":[117,168],"context":[120],"music":[122,130,198,235],"recommendation.":[123],"Specifically,":[124],"propose":[126],"embeddings":[128],"for":[129,136],"(HEMR),":[132],"a":[133,170,228,234],"novel":[134],"framework":[135],"song":[137],"based":[139],"on":[140],"embedding.":[142],"The":[143,206],"model":[146],"allows":[147],"us":[148],"represent":[150],"seamlessly":[151],"all":[152],"possible":[154],"interactions":[157],"between":[158],"related":[164],"characteristics;":[165],"meanwhile,":[166],"embedding":[167],"powerful":[171],"way":[172],"infer":[174],"user-song":[176],"similarities":[177],"by":[178],"vector":[179],"mapping.":[180],"We":[181],"experimented":[183],"effectiveness":[185],"efficiency":[187],"our":[189,226],"approach":[190],"respect":[192],"state-of-the-art":[195,214],"most":[196],"recommender":[199],"systems,":[200],"exploiting":[201],"Million":[203],"Song":[204],"dataset.":[205],"results":[207],"show":[208],"that":[209],"HEMR":[210],"significantly":[211],"outperforms":[212],"other":[213],"techniques,":[215],"especially":[216],"scenarios":[218],"where":[219],"cold-start":[221],"problem":[222],"arises,":[223],"thus":[224],"making":[225],"system":[227],"suitable":[229],"solution":[230],"embed":[232],"within":[233],"platform.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":38},{"year":2022,"cited_by_count":5}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2022-02-13T00:00:00"}