{"id":"https://openalex.org/W4285428788","doi":"https://doi.org/10.1145/3534678.3539342","title":"Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation","display_name":"Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation","publication_year":2022,"publication_date":"2022-08-12","ids":{"openalex":"https://openalex.org/W4285428788","doi":"https://doi.org/10.1145/3534678.3539342"},"language":"en","primary_location":{"id":"doi:10.1145/3534678.3539342","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3539342","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2207.05584","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024168844","display_name":"Yuhao Yang","orcid":"https://orcid.org/0000-0002-2543-8450"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yuhao Yang","raw_affiliation_strings":["University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091518548","display_name":"Chao Huang","orcid":"https://orcid.org/0009-0003-3740-4500"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chao Huang","raw_affiliation_strings":["University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019844880","display_name":"Lianghao Xia","orcid":"https://orcid.org/0000-0003-0725-2211"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lianghao Xia","raw_affiliation_strings":["University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018828723","display_name":"Yuxuan Liang","orcid":"https://orcid.org/0000-0003-2817-7337"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yuxuan Liang","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021981732","display_name":"Yanwei Yu","orcid":"https://orcid.org/0000-0002-5924-1410"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanwei Yu","raw_affiliation_strings":["Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100734065","display_name":"Chenliang Li","orcid":"https://orcid.org/0000-0001-9077-3928"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenliang Li","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5024168844"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":21.0151,"has_fulltext":false,"cited_by_count":157,"citation_normalized_percentile":{"value":0.99642653,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2263","last_page":"2274"},"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":0.9980999827384949,"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":0.9801999926567078,"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":0.8322626352310181},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.7894071340560913},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4393923580646515},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.429823637008667},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4237942695617676},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4149611294269562},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4016399085521698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3788645267486572},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3610556125640869},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3331548273563385}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8322626352310181},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.7894071340560913},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4393923580646515},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.429823637008667},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4237942695617676},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4149611294269562},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4016399085521698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3788645267486572},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3610556125640869},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3331548273563385},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3534678.3539342","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3539342","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2207.05584","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.05584","pdf_url":"https://arxiv.org/pdf/2207.05584","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:hub.hku.hk:10722/320892","is_oa":false,"landing_page_url":"https://hub.hku.hk/handle/10722/320892","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference_Paper"},{"id":"pmh:oai:hub.hku.hk:10722/355928","is_oa":false,"landing_page_url":"https://hub.hku.hk/handle/10722/355928","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference_Paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2207.05584","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.05584","pdf_url":"https://arxiv.org/pdf/2207.05584","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2171279286","https://openalex.org/W2783272285","https://openalex.org/W2788728386","https://openalex.org/W2892880750","https://openalex.org/W2899457523","https://openalex.org/W2937556626","https://openalex.org/W2942947041","https://openalex.org/W2951369132","https://openalex.org/W2951570486","https://openalex.org/W2963367478","https://openalex.org/W2963604523","https://openalex.org/W2964296635","https://openalex.org/W2964926209","https://openalex.org/W2984100107","https://openalex.org/W2997261254","https://openalex.org/W3004578093","https://openalex.org/W3033529678","https://openalex.org/W3034773362","https://openalex.org/W3035287707","https://openalex.org/W3035666843","https://openalex.org/W3045200674","https://openalex.org/W3081304929","https://openalex.org/W3093242741","https://openalex.org/W3093862905","https://openalex.org/W3100199015","https://openalex.org/W3101707147","https://openalex.org/W3122507327","https://openalex.org/W3124675547","https://openalex.org/W3138516171","https://openalex.org/W3152943193","https://openalex.org/W3155496675","https://openalex.org/W3177890934","https://openalex.org/W3178835722","https://openalex.org/W3199763349","https://openalex.org/W3206932362","https://openalex.org/W3207682456","https://openalex.org/W3208850925","https://openalex.org/W4212931205","https://openalex.org/W4224983022","https://openalex.org/W4225412853","https://openalex.org/W4226110810","https://openalex.org/W4295838474","https://openalex.org/W4299286960"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4376608589","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312"],"abstract_inverted_index":{"Learning":[0],"dynamic":[1,90],"user":[2,34],"preference":[3],"has":[4],"become":[5],"an":[6],"increasingly":[7],"important":[8],"component":[9],"for":[10],"many":[11,27],"online":[12],"platforms":[13],"(e.g.,":[14,98],"video-sharing":[15],"sites,":[16],"e-commerce":[17],"systems)":[18],"to":[19,29,59,88,116,134,156],"make":[20],"sequential":[21,64,138],"recommendations.":[22],"Previous":[23],"works":[24],"have":[25,72],"made":[26],"efforts":[28],"model":[30,192],"item-item":[31],"transitions":[32],"over":[33,175],"interaction":[35],"sequences,":[36],"based":[37],"on":[38,75],"various":[39,176],"architectures,":[40],"e.g.,":[41],"recurrent":[42],"neural":[43,51,154],"networks":[44,52],"and":[45,84,96,120,142,194],"self-attention":[46,133],"mechanism.":[47],"Recently":[48],"emerged":[49],"graph":[50],"also":[53],"serve":[54],"as":[55],"useful":[56],"backbone":[57],"models":[58],"capture":[60,89,117,157],"item":[61,76,161],"dependencies":[62],"in":[63,163],"recommendation":[65,179],"scenarios.":[66],"Despite":[67],"their":[68],"effectiveness,":[69],"existing":[70],"methods":[71],"far":[73],"focused":[74],"sequence":[77],"representation":[78],"with":[79,131],"singular":[80],"type":[81],"of":[82,172,190,196],"interactions,":[83],"thus":[85],"are":[86],"limited":[87],"heterogeneous":[91],"relational":[92],"structures":[93],"between":[94],"users":[95],"items":[97],"page":[99],"view,":[100],"add-to-favorite,":[101],"purchase).":[102],"To":[103],"tackle":[104],"this":[105],"challenge,":[106],"we":[107],"design":[108,193],"a":[109,126,164],"Multi-Behavior":[110],"Hypergraph-enhanced":[111],"T":[112],"ransformer":[113],"framework":[114],"(MBHT)":[115],"both":[118],"short-term":[119],"long-term":[121],"cross-type":[122],"behavior":[123],"dependencies.":[124],"Specifically,":[125],"multi-scale":[127],"Transformer":[128],"is":[129,204],"equipped":[130],"low-rank":[132],"jointly":[135],"encode":[136],"behavior-aware":[137],"patterns":[139],"from":[140],"fine-grained":[141],"coarse-grained":[143],"levels.":[144],"Additionally,we":[145],"incorporate":[146],"the":[147,152,158,170,188,197],"global":[148],"multi-behavior":[149],"dependency":[150],"into":[151],"hypergraph":[153],"architecture":[155],"hierarchical":[159],"long-range":[160],"correlations":[162],"customized":[165],"manner.":[166],"Experimental":[167],"results":[168],"demonstrate":[169],"superiority":[171],"our":[173,191],"MBHT":[174,199],"state-of-":[177],"the-art":[178],"solutions":[180],"across":[181],"different":[182],"settings.":[183],"Further":[184],"ablation":[185],"studies":[186],"validate":[187],"effectiveness":[189],"benefits":[195],"new":[198],"framework.":[200],"Our":[201],"implementation":[202],"code":[203],"released":[205],"at:":[206],"https://github.com/yuh-yang/MBHT-KDD22.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":55},{"year":2024,"cited_by_count":62},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2022-07-15T00:00:00"}