{"id":"https://openalex.org/W4327584070","doi":"https://doi.org/10.1108/dta-07-2022-0290","title":"Multi-relation global context learning for session-based recommendation","display_name":"Multi-relation global context learning for session-based recommendation","publication_year":2023,"publication_date":"2023-03-16","ids":{"openalex":"https://openalex.org/W4327584070","doi":"https://doi.org/10.1108/dta-07-2022-0290"},"language":"en","primary_location":{"id":"doi:10.1108/dta-07-2022-0290","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-07-2022-0290","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Technologies and Applications","raw_type":"journal-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/A5005480902","display_name":"Yishan Liu","orcid":"https://orcid.org/0000-0002-6384-9955"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yishan Liu","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100625024","display_name":"Wenming Cao","orcid":"https://orcid.org/0000-0002-8174-6167"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenming Cao","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028989158","display_name":"Guitao Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139618","display_name":"Shanghai Key Laboratory of Trustworthy Computing","ror":"https://ror.org/030qbr085","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210139618"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guitao Cao","raw_affiliation_strings":["Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I4210139618","https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4314,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62697885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"57","issue":"4","first_page":"562","last_page":"579"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9715999960899353,"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":0.7536518573760986},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6393867135047913},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.6387604475021362},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5687363147735596},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.528947114944458},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.47438767552375793},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4504922926425934},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4403132200241089},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.41066858172416687},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3488466143608093},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3468283712863922},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.30591803789138794},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19951477646827698},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1296963095664978},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08281874656677246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7536518573760986},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6393867135047913},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.6387604475021362},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5687363147735596},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.528947114944458},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.47438767552375793},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4504922926425934},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4403132200241089},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.41066858172416687},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3488466143608093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3468283712863922},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30591803789138794},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19951477646827698},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1296963095664978},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08281874656677246},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/dta-07-2022-0290","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-07-2022-0290","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Technologies and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W805665992","https://openalex.org/W1985854669","https://openalex.org/W2054141820","https://openalex.org/W2069143585","https://openalex.org/W2137245235","https://openalex.org/W2140310134","https://openalex.org/W2157331557","https://openalex.org/W2171279286","https://openalex.org/W2217347858","https://openalex.org/W2244405900","https://openalex.org/W2262817822","https://openalex.org/W2624407581","https://openalex.org/W2767217464","https://openalex.org/W2890272578","https://openalex.org/W2898151875","https://openalex.org/W2899457523","https://openalex.org/W2945827670","https://openalex.org/W2955966953","https://openalex.org/W2991423131","https://openalex.org/W2998431760","https://openalex.org/W3004578093","https://openalex.org/W3030071125","https://openalex.org/W3034329572","https://openalex.org/W3104353018","https://openalex.org/W3106035229","https://openalex.org/W3112542089","https://openalex.org/W3133992267","https://openalex.org/W3172512543","https://openalex.org/W3175424701","https://openalex.org/W3194130080","https://openalex.org/W4224940316","https://openalex.org/W4285807819"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4296749040","https://openalex.org/W2378211422","https://openalex.org/W4230197055","https://openalex.org/W4388145910","https://openalex.org/W621808327","https://openalex.org/W644007644","https://openalex.org/W4390273403","https://openalex.org/W3012257603","https://openalex.org/W1976205134"],"abstract_inverted_index":{"Purpose":[0],"Session-based":[1],"recommendation":[2,66,72,99],"aims":[3],"to":[4,85,107,132,149,172,193,239],"predict":[5],"the":[6,12,21,29,44,62,69,75,82,87,142,146,150,173,179,195,200,204,209,222,225,243],"user's":[7,13],"next":[8],"preference":[9],"based":[10,34,121],"on":[11,35,122,158],"recent":[14],"activities.":[15],"Although":[16],"most":[17],"existing":[18,174],"studies":[19],"consider":[20],"global":[22,30,79,104,110,118,143,190,201,231],"characteristics":[23,31],"of":[24,32,64,71,81,91,125,136,145,181,199,203,212,224],"items,":[25],"they":[26],"only":[27],"learn":[28,133,194],"items":[33,56,213,238],"a":[36,97,102,116,123,128,188],"single":[37],"connection":[38,137],"relationship,":[39],"which":[40,177],"cannot":[41],"fully":[42],"capture":[43,108],"complex":[45,196],"transformation":[46],"relationship":[47],"between":[48,55,214],"items.":[49],"We":[50,154],"believe":[51],"that":[52,166],"multiple":[53],"relationships":[54],"in":[57],"learning":[58],"sessions":[59],"can":[60],"improve":[61],"performance":[63],"session":[65],"tasks":[67],"and":[68,140,206,233],"scalability":[70,223],"models.":[73],"At":[74],"same":[76],"time,":[77],"high-quality":[78,229],"features":[80,232],"item":[83,119,147,191,205,230],"help":[84],"explore":[86],"potential":[88,210],"common":[89],"preferences":[90],"users.":[92],"Design/methodology/approach":[93],"This":[94],"work":[95],"proposes":[96],"session-based":[98],"method":[100],"with":[101],"multi-relation":[103,117,151,189],"context\u2013enhanced":[105],"network":[106],"this":[109],"transition":[111,197],"relationship.":[112],"Specifically,":[113],"we":[114,186],"construct":[115,187],"graph":[120,192],"group":[124],"sessions,":[126],"use":[127],"graded":[129],"attention":[130],"mechanism":[131],"different":[134,215],"types":[135],"relations":[138,198],"independently":[139],"obtain":[141],"feature":[144],"according":[148],"weight.":[152],"Findings":[153],"did":[155],"related":[156],"experiments":[157],"three":[159],"benchmark":[160],"datasets.":[161],"The":[162],"experimental":[163],"results":[164],"show":[165],"our":[167,182,218],"proposed":[168],"model":[169,219,226],"is":[170],"superior":[171],"state-of-the-art":[175],"methods,":[176],"verifies":[178],"effectiveness":[180],"model.":[183],"Originality/value":[184],"First,":[185],"context":[202],"effectively":[207,220],"mine":[208],"association":[211],"sessions.":[216],"Second,":[217],"improves":[221],"by":[227],"obtaining":[228],"enables":[234],"some":[235],"previously":[236],"unconsidered":[237],"make":[240],"it":[241],"onto":[242],"candidate":[244],"list.":[245]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}