{"id":"https://openalex.org/W7161557111","doi":"https://doi.org/10.31449/inf.v50i13.9903","title":"A Dual Modeling Framework for Music Recommendation Via GraphSAGE and Deep Interest Networks (DIN)","display_name":"A Dual Modeling Framework for Music Recommendation Via GraphSAGE and Deep Interest Networks (DIN)","publication_year":2026,"publication_date":"2026-05-18","ids":{"openalex":"https://openalex.org/W7161557111","doi":"https://doi.org/10.31449/inf.v50i13.9903"},"language":null,"primary_location":{"id":"doi:10.31449/inf.v50i13.9903","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i13.9903","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/9903/6703","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.informatica.si/index.php/informatica/article/download/9903/6703","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136409101","display_name":"Ni Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103627","display_name":"BaiCheng Normal University","ror":"https://ror.org/01djkf495","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210103627"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ni Li","raw_affiliation_strings":["College of Humanities and Social Sciences;College of Zhicheng"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Humanities and Social Sciences;College of Zhicheng","institution_ids":["https://openalex.org/I4210103627"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136440993","display_name":"Youyu Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Youyu Xiao","raw_affiliation_strings":["College of Humanities and Social Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Humanities and Social Sciences","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.64812101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":"13","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":0.6104000210762024,"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":0.6104000210762024,"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":0.14489999413490295,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.045899998396635056,"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/recommender-system","display_name":"Recommender system","score":0.7429999709129333},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.7038000226020813},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.7019000053405762},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5827999711036682},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4553999900817871},{"id":"https://openalex.org/keywords/active-listening","display_name":"Active listening","score":0.41339999437332153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7994999885559082},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7429999709129333},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.7038000226020813},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7019000053405762},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5827999711036682},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4553999900817871},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43810001015663147},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4372999966144562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42010000348091125},{"id":"https://openalex.org/C177291462","wikidata":"https://www.wikidata.org/wiki/Q423038","display_name":"Active listening","level":2,"score":0.41339999437332153},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.38510000705718994},{"id":"https://openalex.org/C19012869","wikidata":"https://www.wikidata.org/wiki/Q578372","display_name":"Response time","level":2,"score":0.34299999475479126},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2806999981403351},{"id":"https://openalex.org/C3017893058","wikidata":"https://www.wikidata.org/wiki/Q999278","display_name":"User satisfaction","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.257099986076355}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31449/inf.v50i13.9903","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i13.9903","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/9903/6703","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31449/inf.v50i13.9903","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i13.9903","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/9903/6703","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321893","display_name":"Department of Education, Fujian Province","ror":"https://ror.org/01d6wrk87"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7161557111.pdf","grobid_xml":"https://content.openalex.org/works/W7161557111.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,288],"study":[1,137],"proposes":[2,255],"a":[3,23,80,145,164,256,291],"music":[4,120,173,258],"recommendation":[5,81,121,158,166,177,215,259,286,301],"system":[6,36,202,260,302],"that":[7,70,210,267],"combines":[8],"the":[9,16,35,71,142,155,160,170,176,192,199,218,226,230,240,268,278,285,298],"GraphSAGE":[10,46,76,90,109,161,211,272],"and":[11,18,30,43,77,91,110,205,273,281,294,306],"DIN":[12,58,224,274],"algorithms":[13],"to":[14],"improve":[15,277],"accuracy":[17,82,216],"personalization":[19],"of":[20,25,83,132,144,157,172,239,271,284,300],"recommendations.":[21],"Using":[22],"dataset":[24],"50,000":[26],"users,":[27],"100,000":[28],"songs,":[29],"3":[31],"million":[32],"listening":[33],"records,":[34],"evaluates":[37],"performance":[38,228,237],"using":[39],"metrics":[40],"like":[41],"AUC":[42],"HitRate.":[44],"The":[45,96,236,248],"algorithm":[47,147,162],"extracts":[48],"users'":[49,61],"long-term":[50],"interest":[51,308],"preferences":[52],"from":[53],"heterogeneous":[54],"user-song":[55],"graphs,":[56],"while":[57,223],"dynamically":[59],"adjusts":[60],"short-term":[62],"interests":[63],"through":[64,265],"attention":[65],"mechanisms.":[66],"Experimental":[67,207],"results":[68,208],"show":[69,209],"hybrid":[72],"model":[73,97],"outperforms":[74],"standalone":[75],"DIN,":[78],"with":[79,123,150],"92%,":[84],"which":[85,184],"is":[86,179,185,221,233],"7%":[87],"higher":[88,93,165],"than":[89,94,188],"4%":[92],"DIN.":[95],"also":[98,197,263],"shows":[99,163],"significant":[100],"improvements":[101],"in":[102,117,148,242,250,303],"user":[103,125,152,282],"satisfaction":[104,283],"(4.5":[105],"vs.":[106],"4.1":[107],"for":[108,112,141,297],"4.3":[111],"DIN),":[113],"demonstrating":[114],"its":[115],"effectiveness":[116],"handling":[118],"large-scale":[119],"tasks":[122],"dynamic":[124],"preferences.":[126],"Through":[127],"this":[128,136,195,251],"dual":[129],"modeling":[130,309],"method":[131],"structure":[133],"+":[134],"dynamics,":[135],"effectively":[138],"makes":[139],"up":[140],"shortcomings":[143],"single":[146],"dealing":[149],"complex":[151,304],"behaviors.":[153],"For":[154],"experiment":[156],"coverage,":[159,167],"especially":[168],"when":[169,217,229],"number":[171],"exceeds":[174],"100,":[175],"coverage":[178,280],"stable":[180],"at":[181],"around":[182],"75%,":[183],"significantly":[186,276],"better":[187],"DIN's":[189],"65%.":[190],"At":[191],"same":[193],"time,":[194],"paper":[196,252],"analyzes":[198],"relationship":[200],"between":[201],"response":[203,219,231],"time":[204,220,232],"performance.":[206],"can":[212,275],"maintain":[213],"high":[214],"short,":[222],"achieves":[225],"best":[227],"10":[234],"hours.":[235],"advantages":[238],"two":[241],"different":[243],"situations":[244],"complement":[245],"each":[246],"other.":[247],"research":[249,289],"not":[253],"only":[254],"new":[257,292],"architecture,":[261],"but":[262],"proves":[264],"experiments":[266],"effective":[269],"combination":[270],"accuracy,":[279],"system.":[287],"provides":[290],"idea":[293],"technical":[295],"path":[296],"application":[299],"data":[305],"multi-dimensional":[307],"scenarios.":[310]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-05-19T00:00:00"}
