{"id":"https://openalex.org/W4392864387","doi":"https://doi.org/10.1145/3649436","title":"Collaborative Sequential Recommendations via Multi-view GNN-transformers","display_name":"Collaborative Sequential Recommendations via Multi-view GNN-transformers","publication_year":2024,"publication_date":"2024-03-15","ids":{"openalex":"https://openalex.org/W4392864387","doi":"https://doi.org/10.1145/3649436"},"language":"en","primary_location":{"id":"doi:10.1145/3649436","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3649436","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3649436","source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3649436","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074207483","display_name":"Tianze Luo","orcid":"https://orcid.org/0000-0001-9648-0982"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tianze Luo","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-9648-0982","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072988055","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0001-9031-9696"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-9031-9696","affiliations":[{"raw_affiliation_string":"Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082984558","display_name":"Sinno Jialin Pan","orcid":"https://orcid.org/0000-0001-6565-3836"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sinno Jialin Pan","raw_affiliation_strings":["Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-6565-3836","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.2686,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.991417,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"42","issue":"6","first_page":"1","last_page":"27"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9865999817848206,"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/T10028","display_name":"Topic Modeling","score":0.9646999835968018,"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":0.8354464769363403},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6470617651939392},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5986329913139343},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5772386789321899},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5634804964065552},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5243033170700073},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4886687099933624},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4871103763580322},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4795479476451874},{"id":"https://openalex.org/keywords/dependency-graph","display_name":"Dependency graph","score":0.4688647389411926},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4599548578262329},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4204806089401245},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4119783639907837},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3965505361557007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34234070777893066},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16897249221801758}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8354464769363403},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6470617651939392},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5986329913139343},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5772386789321899},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5634804964065552},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5243033170700073},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4886687099933624},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4871103763580322},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4795479476451874},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.4688647389411926},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4599548578262329},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4204806089401245},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4119783639907837},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3965505361557007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34234070777893066},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16897249221801758},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3649436","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3649436","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3649436","source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3649436","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3649436","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3649436","source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392864387.pdf","grobid_xml":"https://content.openalex.org/works/W4392864387.grobid-xml"},"referenced_works_count":84,"referenced_works":["https://openalex.org/W1926826635","https://openalex.org/W1985854669","https://openalex.org/W2043670592","https://openalex.org/W2108630796","https://openalex.org/W2171279286","https://openalex.org/W2172140247","https://openalex.org/W2519887557","https://openalex.org/W2583674722","https://openalex.org/W2605350416","https://openalex.org/W2624431344","https://openalex.org/W2626454364","https://openalex.org/W2723293840","https://openalex.org/W2746011824","https://openalex.org/W2783272285","https://openalex.org/W2786915849","https://openalex.org/W2788997749","https://openalex.org/W2899457523","https://openalex.org/W2907607062","https://openalex.org/W2913189099","https://openalex.org/W2945827377","https://openalex.org/W2945827670","https://openalex.org/W2951645301","https://openalex.org/W2962745591","https://openalex.org/W2963367478","https://openalex.org/W2963695795","https://openalex.org/W2964015378","https://openalex.org/W2964199361","https://openalex.org/W2965866655","https://openalex.org/W2965898633","https://openalex.org/W2984100107","https://openalex.org/W2986515219","https://openalex.org/W2996931760","https://openalex.org/W2997477628","https://openalex.org/W2997864604","https://openalex.org/W3005071803","https://openalex.org/W3012705926","https://openalex.org/W3012772192","https://openalex.org/W3018719408","https://openalex.org/W3021402147","https://openalex.org/W3031331881","https://openalex.org/W3033844654","https://openalex.org/W3034329572","https://openalex.org/W3034427927","https://openalex.org/W3035170973","https://openalex.org/W3035658380","https://openalex.org/W3038719422","https://openalex.org/W3045200674","https://openalex.org/W3081170586","https://openalex.org/W3093800735","https://openalex.org/W3100278010","https://openalex.org/W3100917752","https://openalex.org/W3101553402","https://openalex.org/W3101707147","https://openalex.org/W3102619277","https://openalex.org/W3105472188","https://openalex.org/W3106433415","https://openalex.org/W3108655343","https://openalex.org/W3123348991","https://openalex.org/W3133849783","https://openalex.org/W3154921101","https://openalex.org/W3155097957","https://openalex.org/W3156833186","https://openalex.org/W3165548017","https://openalex.org/W3173365306","https://openalex.org/W3177158382","https://openalex.org/W3178564468","https://openalex.org/W3178835722","https://openalex.org/W3203589076","https://openalex.org/W3204210724","https://openalex.org/W3207267733","https://openalex.org/W4210334834","https://openalex.org/W4212836229","https://openalex.org/W4212975546","https://openalex.org/W4224315226","https://openalex.org/W4224316956","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W4297808394","https://openalex.org/W4309698070","https://openalex.org/W4318617464","https://openalex.org/W4320165462","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6763442200"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W1484355083","https://openalex.org/W4220714703","https://openalex.org/W2098758514","https://openalex.org/W2735929803","https://openalex.org/W3008845055","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622"],"abstract_inverted_index":{"Sequential":[0],"recommendation":[1,17,21,57,119,129,176,195],"systems":[2],"aim":[3],"to":[4,10,62,104,168,192],"exploit":[5],"users\u2019":[6,98],"sequential":[7,20,56,118,128,175],"behavior":[8,35,68,91,99,140,150],"patterns":[9],"capture":[11],"their":[12],"interaction":[13],"intentions":[14],"and":[15,45],"improve":[16],"accuracy.":[18],"Existing":[19],"methods":[22,58,177],"mainly":[23],"focus":[24],"on":[25,178],"modeling":[26],"the":[27,49,52,63,71,80,84,93,133,145,149,170,187],"items\u2019":[28],"chronological":[29],"relationships":[30],"in":[31,42,87,136],"each":[32,88,137,162],"individual":[33,89,138],"user":[34,90,139],"sequence,":[36,92],"which":[37,131],"may":[38],"not":[39],"be":[40],"effective":[41],"making":[43],"accurate":[44,106],"robust":[46],"recommendations.":[47,107],"On":[48,79],"one":[50],"hand,":[51,82],"performance":[53,196],"of":[54,65,73,111,152],"existing":[55,117,198],"is":[59,101,113,190],"usually":[60,114],"sensitive":[61],"length":[64],"a":[66,74,126,157],"user\u2019s":[67,75],"sequence":[69,141],"(i.e.,":[70],"list":[72],"historically":[76],"interacted":[77],"items).":[78],"other":[81],"besides":[83],"context":[85,134],"information":[86,95,112,135,147],"collaborative":[94,146,202],"among":[96,148],"different":[97,153],"sequences":[100,151],"also":[102],"crucial":[103],"make":[105],"However,":[108],"this":[109,122],"kind":[110],"ignored":[115],"by":[116,200],"methods.":[120],"In":[121],"work,":[123],"we":[124],"propose":[125],"new":[127],"framework,":[130],"encodes":[132],"as":[142,144],"well":[143],"users,":[154],"through":[155],"building":[156],"local":[158],"dependency":[159],"graph":[160],"for":[161],"item.":[163],"We":[164],"conduct":[165],"extensive":[166],"experiments":[167],"compare":[169],"proposed":[171,188],"model":[172,189],"with":[173],"state-of-the-art":[174],"five":[179],"benchmark":[180],"datasets.":[181],"The":[182],"experimental":[183],"results":[184],"demonstrate":[185],"that":[186],"able":[191],"achieve":[193],"better":[194],"than":[197],"methods,":[199],"incorporating":[201],"information.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":22}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}