{"id":"https://openalex.org/W4284686273","doi":"https://doi.org/10.1145/3477495.3531794","title":"Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation","display_name":"Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4284686273","doi":"https://doi.org/10.1145/3477495.3531794"},"language":"en","primary_location":{"id":"doi:10.1145/3477495.3531794","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3477495.3531794","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3477495.3531794","source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3477495.3531794","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065025306","display_name":"Yinfeng Li","orcid":"https://orcid.org/0000-0001-6820-8295"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yinfeng Li","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078622343","display_name":"Chen Gao","orcid":"https://orcid.org/0000-0002-7561-5646"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Gao","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014828450","display_name":"Hengliang Luo","orcid":"https://orcid.org/0000-0001-8597-8873"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hengliang Luo","raw_affiliation_strings":["Meituan Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meituan Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044100655","display_name":"Depeng Jin","orcid":"https://orcid.org/0000-0003-0419-5514"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Depeng Jin","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101398900","display_name":"Yong Li","orcid":"https://orcid.org/0000-0002-9430-0914"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5065025306"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":10.4866,"has_fulltext":true,"cited_by_count":78,"citation_normalized_percentile":{"value":0.98827566,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1997","last_page":"2002"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9925000071525574,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9789000153541565,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.9276121854782104},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.9016802310943604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7889330983161926},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7483488917350769},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6191308498382568},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6023201942443848},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.4246962368488312},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40914613008499146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37225669622421265},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36928510665893555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31407108902931213},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1521652638912201},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07446494698524475}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.9276121854782104},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.9016802310943604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7889330983161926},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7483488917350769},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6191308498382568},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6023201942443848},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.4246962368488312},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40914613008499146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37225669622421265},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36928510665893555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31407108902931213},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1521652638912201},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07446494698524475},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477495.3531794","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3477495.3531794","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3477495.3531794","source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3477495.3531794","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3477495.3531794","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3477495.3531794","source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.47999998927116394}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2005676288","https://openalex.org/W2042281163","https://openalex.org/W2809307135","https://openalex.org/W2892880750","https://openalex.org/W2899457523","https://openalex.org/W2964044287","https://openalex.org/W2964926209","https://openalex.org/W2966720510","https://openalex.org/W2986515219","https://openalex.org/W3034329572","https://openalex.org/W3034471508","https://openalex.org/W3044311607","https://openalex.org/W3045200674","https://openalex.org/W3093563174","https://openalex.org/W3093800735","https://openalex.org/W3100324210","https://openalex.org/W3101707147","https://openalex.org/W3106229813","https://openalex.org/W3156622960","https://openalex.org/W3173365306","https://openalex.org/W3198457408","https://openalex.org/W4210535201","https://openalex.org/W4220698623","https://openalex.org/W4300011764"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W3138003926","https://openalex.org/W4300037846","https://openalex.org/W1630514295","https://openalex.org/W1537073411","https://openalex.org/W2963081352","https://openalex.org/W4376608938","https://openalex.org/W4288275998","https://openalex.org/W2472555608","https://openalex.org/W1532260067"],"abstract_inverted_index":{"Session-based":[0],"recommendation":[1],"(SBR)":[2],"aims":[3],"at":[4],"the":[5,60,70,82,101,111,119,123,128,134,142],"next-item":[6],"prediction":[7],"with":[8],"a":[9,45,53],"short":[10],"behavior":[11],"session.":[12],"Existing":[13],"solutions":[14],"fail":[15],"to":[16,58,92,109,126],"address":[17,38],"two":[18],"main":[19],"challenges:":[20],"1)":[21],"user":[22],"interests":[23],"are":[24],"shown":[25],"as":[26],"dynamically":[27],"coupled":[28],"intents,":[29],"and":[30,78],"2)":[31],"sessions":[32],"always":[33],"contain":[34],"noisy":[35,98],"signals.":[36],"To":[37],"them,":[39],"in":[40,76],"this":[41],"paper,":[42],"we":[43,84,103,117],"propose":[44],"hypergraph-based":[46],"solution,":[47],"HIDE.":[48],"Specifically,":[49],"HIDE":[50,67,140],"first":[51],"constructs":[52],"hypergraph":[54,91],"for":[55,122],"each":[56,73],"session":[57,90,125],"model":[59],"possible":[61],"interest":[62],"transitions":[63],"from":[64,97],"distinct":[65],"perspectives.":[66],"then":[68],"disentangles":[69],"intents":[71,96],"under":[72],"item":[74],"click":[75],"micro":[77],"macro":[79],"manners.":[80],"In":[81,100],"micro-disentanglement,":[83],"perform":[85],"intent-aware":[86],"embedding":[87],"propagation":[88],"on":[89],"adaptively":[93],"activate":[94],"disentangled":[95],"data.":[99],"macro-disentanglement,":[102],"introduce":[104],"an":[105],"auxiliary":[106],"intent-classification":[107],"task":[108],"encourage":[110],"independence":[112],"of":[113,138],"different":[114],"intents.":[115],"Finally,":[116],"generate":[118],"intent-specific":[120],"representations":[121],"given":[124],"make":[127],"final":[129],"recommendation.":[130],"Benchmark":[131],"evaluations":[132],"demonstrate":[133],"significant":[135],"performance":[136],"gain":[137],"our":[139],"over":[141],"state-of-the-art":[143],"methods.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":35},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-19T21:40:30.786675","created_date":"2025-10-10T00:00:00"}
