{"id":"https://openalex.org/W7155835969","doi":"https://doi.org/10.1145/3774904.3792495","title":"MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation","display_name":"MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation","publication_year":2026,"publication_date":"2026-04-12","ids":{"openalex":"https://openalex.org/W7155835969","doi":"https://doi.org/10.1145/3774904.3792495"},"language":null,"primary_location":{"id":"doi:10.1145/3774904.3792495","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792495","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 ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774904.3792495","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120576454","display_name":"Zhang Ranxu","orcid":null},"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":"Ranxu Zhang","raw_affiliation_strings":["School of Artificial Intelligence and Data Science, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0006-7222-2149","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Data Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101367215","display_name":"Junjie Meng","orcid":null},"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":"Junjie Meng","raw_affiliation_strings":["School of Artificial Intelligence and Data Science, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0006-5709-9963","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Data Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046835504","display_name":"Ying Sun","orcid":"https://orcid.org/0000-0002-4763-6060"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Sun","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4763-6060","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100743349","display_name":"Ziqi Xu","orcid":"https://orcid.org/0000-0003-1748-5801"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ziqi Xu","raw_affiliation_strings":["RMIT University, Melbourne, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1748-5801","affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109611616","display_name":"Bing Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Yin","raw_affiliation_strings":["State Key Laboratory of Cognitive Intelligence, Hefei, China and iFLYTEK Research, iFLYTEK, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-4042-7522","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Cognitive Intelligence, Hefei, China and iFLYTEK Research, iFLYTEK, Hefei, China","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134732847","display_name":"Hao Li","orcid":"https://orcid.org/0009-0002-2556-4841"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["iFLYTEK Research, iFLYTEK, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0002-2556-4841","affiliations":[{"raw_affiliation_string":"iFLYTEK Research, iFLYTEK, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103041851","display_name":"Yanyong Zhang","orcid":"https://orcid.org/0000-0001-9046-798X"},"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":"Yanyong Zhang","raw_affiliation_strings":["School of Artificial Intelligence and Data Science, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-9046-798X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Data Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100406893","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0001-7717-447X"},"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"]},{"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":"Chao Wang","raw_affiliation_strings":["School of Artificial Intelligence and Data Science, University of Science and Technology of China, Hefei, China and State Key Laboratory of Cognitive Intelligence, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-7717-447X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Data Science, University of Science and Technology of China, Hefei, China and State Key Laboratory of Cognitive Intelligence, Hefei, China","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.63522942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6481","last_page":"6492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.10729999840259552,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.10729999840259552,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.09619999676942825,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.07249999791383743,"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/key","display_name":"Key (lock)","score":0.3009999990463257},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.2971000075340271},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.2962000072002411},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.29179999232292175},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.28299999237060547}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5353000164031982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41589999198913574},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2921999990940094},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.26930001378059387},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774904.3792495","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792495","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 ACM Web Conference 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774904.3792495","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792495","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 ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.44564974308013916}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1806220264","https://openalex.org/W2629213068","https://openalex.org/W2788172561","https://openalex.org/W2886453691","https://openalex.org/W2998677531","https://openalex.org/W3035287707","https://openalex.org/W3092103025","https://openalex.org/W3097679710","https://openalex.org/W3155371331","https://openalex.org/W3156939347","https://openalex.org/W4200412261","https://openalex.org/W4285600332","https://openalex.org/W4287750937","https://openalex.org/W4316829903","https://openalex.org/W4324359913","https://openalex.org/W4367310806","https://openalex.org/W4382318232","https://openalex.org/W4391650579","https://openalex.org/W4399356928","https://openalex.org/W4400524972","https://openalex.org/W4400532459","https://openalex.org/W4403578188","https://openalex.org/W4409393573","https://openalex.org/W4411919690","https://openalex.org/W4412377856","https://openalex.org/W4413271470","https://openalex.org/W4414159289","https://openalex.org/W4414745312","https://openalex.org/W6884307607"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-28T00:00:00"}
