{"id":"https://openalex.org/W4414034914","doi":"https://doi.org/10.1145/3705328.3748073","title":"Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation","display_name":"Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation","publication_year":2025,"publication_date":"2025-09-06","ids":{"openalex":"https://openalex.org/W4414034914","doi":"https://doi.org/10.1145/3705328.3748073"},"language":"en","primary_location":{"id":"doi:10.1145/3705328.3748073","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748073","pdf_url":null,"source":null,"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 Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3705328.3748073","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101842322","display_name":"Hengyu Zhang","orcid":"https://orcid.org/0000-0003-4232-4874"},"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":true,"raw_author_name":"Hengyu Zhang","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-4232-4874","affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102314566","display_name":"Chunxu Shen","orcid":"https://orcid.org/0009-0005-0361-1709"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxu Shen","raw_affiliation_strings":["WeChat, Tencent, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0005-0361-1709","affiliations":[{"raw_affiliation_string":"WeChat, Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072003807","display_name":"Xiangguo Sun","orcid":"https://orcid.org/0000-0002-2224-4634"},"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":"Xiangguo Sun","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-2224-4634","affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107467627","display_name":"Jie Tan","orcid":"https://orcid.org/0009-0001-5126-9101"},"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":"Jie Tan","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong"],"raw_orcid":"https://orcid.org/0009-0001-5126-9101","affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083137715","display_name":"Yanchao Tan","orcid":"https://orcid.org/0000-0002-3526-6859"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanchao Tan","raw_affiliation_strings":["Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3526-6859","affiliations":[{"raw_affiliation_string":"Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767600","display_name":"Yu Rong","orcid":"https://orcid.org/0000-0001-7387-302X"},"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":"Yu Rong","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7387-302X","affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101984697","display_name":"Hong Cheng","orcid":"https://orcid.org/0000-0002-4673-2587"},"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":"Hong Cheng","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-4673-2587","affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085014639","display_name":"Lingling Yi","orcid":"https://orcid.org/0000-0001-8809-7676"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingling Yi","raw_affiliation_strings":["WeChat, Tencent, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-8809-7676","affiliations":[{"raw_affiliation_string":"WeChat, Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101842322"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":2.9051,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.9273503,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"155","last_page":"164"},"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":0.9983000159263611,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7831183075904846},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7573210597038269},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4688502550125122},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29825517535209656},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.07524225115776062}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7831183075904846},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7573210597038269},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4688502550125122},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29825517535209656},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.07524225115776062}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3705328.3748073","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748073","pdf_url":null,"source":null,"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 Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2507.15395","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.15395","pdf_url":"https://arxiv.org/pdf/2507.15395","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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"}],"best_oa_location":{"id":"doi:10.1145/3705328.3748073","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748073","pdf_url":null,"source":null,"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 Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4664599543","display_name":null,"funder_award_id":"#MMT-p2-23","funder_id":"https://openalex.org/F4320335138","funder_display_name":"Shun Hing Institute of Advanced Engineering"}],"funders":[{"id":"https://openalex.org/F4320335138","display_name":"Shun Hing Institute of Advanced Engineering","ror":"https://ror.org/00t33hh48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1638081485","https://openalex.org/W1806220264","https://openalex.org/W2064754513","https://openalex.org/W2517217469","https://openalex.org/W2604314403","https://openalex.org/W2723293840","https://openalex.org/W2951045934","https://openalex.org/W2951369132","https://openalex.org/W2962745591","https://openalex.org/W2996863522","https://openalex.org/W2998249317","https://openalex.org/W3035287707","https://openalex.org/W3035669589","https://openalex.org/W3045200674","https://openalex.org/W3093519337","https://openalex.org/W3093862905","https://openalex.org/W3175450343","https://openalex.org/W3176294187","https://openalex.org/W3177890934","https://openalex.org/W3199916614","https://openalex.org/W4212931205","https://openalex.org/W4306317296","https://openalex.org/W4307203553","https://openalex.org/W4324359913","https://openalex.org/W4378771633","https://openalex.org/W4385567607","https://openalex.org/W4385750174","https://openalex.org/W4394947896","https://openalex.org/W4400528186","https://openalex.org/W4401024508","https://openalex.org/W4401863879","https://openalex.org/W4402639612","https://openalex.org/W4403577423","https://openalex.org/W4409149706","https://openalex.org/W4412377975","https://openalex.org/W4413360778"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000"],"abstract_inverted_index":{"In":[0,94],"real-world":[1,170],"recommendation":[2,16,110],"scenarios,":[3],"users":[4],"typically":[5,51],"engage":[6],"with":[7],"platforms":[8],"through":[9,159],"multiple":[10],"types":[11],"of":[12,31,125,178,217],"behavioral":[13,67],"interactions.":[14],"Multi-behavior":[15],"algorithms":[17],"aim":[18],"to":[19,25,65,111],"leverage":[20],"various":[21],"auxiliary":[22,92],"user":[23],"behaviors":[24,30],"enhance":[26],"prediction":[27,137],"for":[28,108,134],"target":[29,45,135],"primary":[32],"interest":[33],"(e.g.,":[34,58],"buy),":[35],"thereby":[36],"overcoming":[37],"performance":[38],"limitations":[39],"caused":[40,88],"by":[41,89],"data":[42],"sparsity":[43],"in":[44,91,186,211],"behavior":[46,136],"records.":[47],"Current":[48],"state-of-the-art":[49],"approaches":[50],"employ":[52],"hierarchical":[53],"design":[54],"following":[55],"either":[56],"cascading":[57],"view$\\rightarrow$cart$\\rightarrow$buy)":[59],"or":[60],"parallel":[61],"(unified$\\rightarrow$behavior$\\rightarrow$specific":[62],"components)":[63],"paradigms,":[64],"capture":[66],"relationships.":[68],"However,":[69],"these":[70,114,182],"methods":[71],"still":[72],"face":[73],"two":[74],"critical":[75],"challenges:":[76],"(1)":[77],"severe":[78],"distribution":[79],"disparities":[80],"across":[81],"behaviors,":[82],"and":[83,200],"(2)":[84],"negative":[85],"transfer":[86],"effects":[87],"noise":[90],"behaviors.":[93],"this":[95],"paper,":[96],"we":[97,147,190],"propose":[98],"a":[99,149,208],"novel":[100],"model-agnostic":[101],"Hierarchical":[102],"Graph":[103,150],"Information":[104],"Bottleneck":[105],"(HGIB)":[106],"framework":[107,121],"multi-behavior":[109,212],"effectively":[112],"address":[113],"challenges.":[115],"Following":[116],"information":[117,133],"bottleneck":[118],"principles,":[119],"our":[120,179,193,218],"optimizes":[122],"the":[123,175,187],"learning":[124],"compact":[126],"yet":[127],"sufficient":[128],"representations":[129],"that":[130,154],"preserve":[131],"essential":[132],"while":[138],"eliminating":[139],"task-irrelevant":[140],"redundancies.":[141],"To":[142],"further":[143,191],"mitigate":[144],"interaction":[145],"noise,":[146],"introduce":[148],"Refinement":[151],"Encoder":[152],"(GRE)":[153],"dynamically":[155],"prunes":[156],"redundant":[157],"edges":[158],"learnable":[160],"edge":[161],"dropout":[162],"mechanisms.":[163],"We":[164],"conduct":[165,201],"comprehensive":[166],"experiments":[167],"on":[168,195],"three":[169],"public":[171],"datasets,":[172],"which":[173],"demonstrate":[174],"superior":[176],"effectiveness":[177],"framework.":[180],"Beyond":[181],"widely":[183],"used":[184],"datasets":[185],"academic":[188],"community,":[189],"expand":[192],"evaluation":[194],"several":[196],"real":[197],"industrial":[198],"scenarios":[199],"an":[202],"online":[203],"A/B":[204],"testing,":[205],"showing":[206],"again":[207],"significant":[209],"improvement":[210],"recommendations.":[213],"The":[214],"source":[215],"code":[216],"proposed":[219],"HGIB":[220],"is":[221],"available":[222],"at":[223],"https://github.com/zhy99426/HGIB.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
