{"id":"https://openalex.org/W4414159289","doi":"https://doi.org/10.1145/3745023","title":"Causal Variational Inference for Deconfounded Multi-Behavior Recommendation","display_name":"Causal Variational Inference for Deconfounded Multi-Behavior Recommendation","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4414159289","doi":"https://doi.org/10.1145/3745023"},"language":"en","primary_location":{"id":"doi:10.1145/3745023","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3745023","pdf_url":null,"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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059149137","display_name":"Yuzhe Chen","orcid":"https://orcid.org/0000-0001-8884-7780"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhe Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8884-7780","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083806438","display_name":"Jie Cao","orcid":"https://orcid.org/0000-0002-7049-5614"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Cao","raw_affiliation_strings":["School of Management, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-7049-5614","affiliations":[{"raw_affiliation_string":"School of Management, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070846571","display_name":"Youquan Wang","orcid":"https://orcid.org/0000-0003-4726-7493"},"institutions":[{"id":"https://openalex.org/I137056471","display_name":"Nanjing University of Finance and Economics","ror":"https://ror.org/031y8am81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137056471"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youquan Wang","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Nanjing University of Finance and Economics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4726-7493","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Nanjing University of Finance and Economics, Nanjing, China","institution_ids":["https://openalex.org/I137056471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007475662","display_name":"Jia Wu","orcid":"https://orcid.org/0000-0002-1371-5801"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jia Wu","raw_affiliation_strings":["School of Computing, Macquarie University, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1371-5801","affiliations":[{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605447","display_name":"Huanhuan Chen","orcid":"https://orcid.org/0000-0002-3918-384X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanhuan Chen","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3918-384X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051512158","display_name":"Guandong Xu","orcid":"https://orcid.org/0000-0003-4493-6663"},"institutions":[{"id":"https://openalex.org/I4210086892","display_name":"Education University of Hong Kong","ror":"https://ror.org/000t0f062","country_code":"HK","type":"education","lineage":["https://openalex.org/I4210086892"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Guandong Xu","raw_affiliation_strings":["Data Science and Artificial Intelligence Central Laboratory, The Education University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-4493-6663","affiliations":[{"raw_affiliation_string":"Data Science and Artificial Intelligence Central Laboratory, The Education University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I4210086892"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.4586,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.98998628,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"43","issue":"6","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9868000149726868,"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/T10028","display_name":"Topic Modeling","score":0.9735000133514404,"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/inference","display_name":"Inference","score":0.7591999769210815},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.743399977684021},{"id":"https://openalex.org/keywords/confounding","display_name":"Confounding","score":0.6718000173568726},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.6306999921798706},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5443999767303467},{"id":"https://openalex.org/keywords/latent-variable-model","display_name":"Latent variable model","score":0.5346999764442444},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.44429999589920044},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4189999997615814}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7591999769210815},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.743399977684021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7419000267982483},{"id":"https://openalex.org/C77350462","wikidata":"https://www.wikidata.org/wiki/Q1125472","display_name":"Confounding","level":2,"score":0.6718000173568726},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.6306999921798706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6219000220298767},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5443999767303467},{"id":"https://openalex.org/C65965080","wikidata":"https://www.wikidata.org/wiki/Q1806885","display_name":"Latent variable model","level":3,"score":0.5346999764442444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5047000050544739},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.44429999589920044},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4189999997615814},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4106000065803528},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3813999891281128},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.37459999322891235},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.3359000086784363},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3027999997138977},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.2994000017642975},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.28450000286102295},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.2773999869823456}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3745023","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3745023","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6468702412","display_name":null,"funder_award_id":"92046026 and 72172057","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W2340526403","https://openalex.org/W2783272285","https://openalex.org/W2892888989","https://openalex.org/W2896537337","https://openalex.org/W2914041468","https://openalex.org/W2917898551","https://openalex.org/W2962992837","https://openalex.org/W2980849092","https://openalex.org/W2996863522","https://openalex.org/W2997617192","https://openalex.org/W3034364571","https://openalex.org/W3035287707","https://openalex.org/W3088840014","https://openalex.org/W3092103025","https://openalex.org/W3098638686","https://openalex.org/W3156861396","https://openalex.org/W3156939347","https://openalex.org/W3160537436","https://openalex.org/W3164548985","https://openalex.org/W3168738558","https://openalex.org/W3170715553","https://openalex.org/W3176294187","https://openalex.org/W3195311662","https://openalex.org/W3205476866","https://openalex.org/W3210519732","https://openalex.org/W4212931205","https://openalex.org/W4220729518","https://openalex.org/W4221155633","https://openalex.org/W4224313077","https://openalex.org/W4284668205","https://openalex.org/W4284701627","https://openalex.org/W4285252216","https://openalex.org/W4285428788","https://openalex.org/W4289436753","https://openalex.org/W4312271813","https://openalex.org/W4318069446","https://openalex.org/W4318816006","https://openalex.org/W4319798365","https://openalex.org/W4320729225","https://openalex.org/W4321480051","https://openalex.org/W4360884927","https://openalex.org/W4361230837","https://openalex.org/W4367841633","https://openalex.org/W4382568121","https://openalex.org/W4384644330","https://openalex.org/W4386746103","https://openalex.org/W4387846486","https://openalex.org/W4388187265","https://openalex.org/W4390134877","https://openalex.org/W4390412407","https://openalex.org/W4391323272","https://openalex.org/W4392384521","https://openalex.org/W4392915638","https://openalex.org/W4392939710","https://openalex.org/W4393147631","https://openalex.org/W4396952136","https://openalex.org/W4399387314","https://openalex.org/W4400351882","https://openalex.org/W4400413127","https://openalex.org/W4400524972","https://openalex.org/W4400529479","https://openalex.org/W4402639612","https://openalex.org/W4403220390"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Multi-Behavior":[0],"Recommendation":[1],"(MBR)":[2],"aims":[3],"to":[4,19,68,89,96,121,134,155,172],"model":[5,122],"personalized":[6],"user":[7,161],"preferences":[8],"by":[9],"integrating":[10],"diverse":[11],"interaction":[12],"behaviors":[13],"(e.g.,":[14],"page":[15],"view,":[16],"favorite,":[17],"add":[18],"cart,":[20],"purchase).":[21],"However,":[22],"latent":[23,62,91,123,137,170],"confounders":[24,138,171],"such":[25],"as":[26],"contextual":[27],"influences":[28],"and":[29,54,93,128,187,208,215],"social":[30],"relationships":[31],"can":[32],"obscure":[33],"the":[34,43,59,75,143,152,157,164,168,180,188],"true":[35,181],"causal":[36,182],"effects":[37,183,207],"in":[38,85,125,204],"real-world":[39],"scenarios,":[40],"thereby":[41,64,178],"confounding":[42,206],"model\u2019s":[44,189],"prediction.":[45,190],"Although":[46],"existing":[47,78],"MBR":[48],"research":[49],"extensively":[50],"explores":[51],"behavioral":[52],"dependencies":[53],"heterogeneity,":[55],"it":[56],"frequently":[57],"overlooks":[58],"impact":[60],"of":[61,77,160],"confounders,":[63,92],"limiting":[65],"its":[66,213],"ability":[67],"capture":[69],"users\u2019":[70],"genuine":[71],"preferences.":[72],"To":[73,103],"address":[74],"limitations":[76],"methods,":[79],"we":[80,106],"identify":[81],"two":[82],"key":[83],"challenges":[84],"MBR:":[86],"(1)":[87],"how":[88,95],"infer":[90],"(2)":[94],"mitigate":[97],"their":[98],"influence":[99],"across":[100],"multi-behavior":[101,126,185,195],"interactions.":[102],"this":[104],"end,":[105],"propose":[107],"Causal":[108],"Variational":[109],"Inference":[110],"for":[111],"Deconfounded":[112],"(CVID)":[113],"MBR.":[114],"CVID":[115,199],"employs":[116],"a":[117,130],"variational":[118,140],"graph":[119],"autoencoder":[120],"uncertainty":[124],"interactions":[127,186],"introduces":[129],"confounder":[131],"inference":[132],"module":[133],"generate":[135],"behavior-specific":[136],"via":[139],"inference.":[141],"In":[142],"conditional":[144],"diffusion":[145],"module,":[146],"noise":[147],"is":[148],"progressively":[149],"injected":[150],"during":[151],"forward":[153],"process":[154,166],"simulate":[156],"dynamic":[158],"evolution":[159],"preferences,":[162],"while":[163],"reverse":[165],"leverages":[167],"inferred":[169],"guide":[173],"denoising":[174],"through":[175],"back-door":[176],"adjustment,":[177],"recovering":[179],"between":[184],"Extensive":[191],"experiments":[192],"on":[193],"public":[194],"datasets":[196],"demonstrate":[197],"that":[198],"consistently":[200],"outperforms":[201],"state-of-the-art":[202],"baselines":[203],"mitigating":[205],"improving":[209],"recommendation":[210],"accuracy,":[211],"validating":[212],"effectiveness":[214],"superiority.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
