{"id":"https://openalex.org/W3205476866","doi":"https://doi.org/10.1145/3606035","title":"Deconfounded Causal Collaborative Filtering","display_name":"Deconfounded Causal Collaborative Filtering","publication_year":2023,"publication_date":"2023-06-27","ids":{"openalex":"https://openalex.org/W3205476866","doi":"https://doi.org/10.1145/3606035","mag":"3205476866"},"language":"en","primary_location":{"id":"doi:10.1145/3606035","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606035","pdf_url":null,"source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Recommender Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2110.07122","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040605157","display_name":"Shuyuan Xu","orcid":"https://orcid.org/0000-0003-0865-5223"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]},{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL","US"],"is_corresponding":false,"raw_author_name":"Shuyuan Xu","raw_affiliation_strings":["Rutgers University","Rutgers University, New Brunswick, NJ, US"],"raw_orcid":"https://orcid.org/0000-0003-0865-5223","affiliations":[{"raw_affiliation_string":"Rutgers University","institution_ids":["https://openalex.org/I4210096112"]},{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ, US","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002064919","display_name":"Juntao Tan","orcid":"https://orcid.org/0000-0003-3646-933X"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]},{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL","US"],"is_corresponding":false,"raw_author_name":"Juntao Tan","raw_affiliation_strings":["Rutgers University","Rutgers University, New Brunswick, NJ, US"],"raw_orcid":"https://orcid.org/0000-0003-3646-933X","affiliations":[{"raw_affiliation_string":"Rutgers University","institution_ids":["https://openalex.org/I4210096112"]},{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ, US","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063103006","display_name":"Shelby Heinecke","orcid":"https://orcid.org/0000-0002-8831-0753"},"institutions":[{"id":"https://openalex.org/I4210155268","display_name":"Salesforce (United States)","ror":"https://ror.org/057315g56","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shelby Heinecke","raw_affiliation_strings":["Salesforce Research","Salesforce Research, Palo Alto, CA, US"],"raw_orcid":"https://orcid.org/0000-0002-8831-0753","affiliations":[{"raw_affiliation_string":"Salesforce Research","institution_ids":["https://openalex.org/I4210155268"]},{"raw_affiliation_string":"Salesforce Research, Palo Alto, CA, US","institution_ids":["https://openalex.org/I4210155268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106588177","display_name":"Vena Jia Li","orcid":"https://orcid.org/0000-0003-0630-3822"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vena Jia Li","raw_affiliation_strings":["Meta","Meta, Menlo Park, CA, US"],"raw_orcid":"https://orcid.org/0000-0003-0630-3822","affiliations":[{"raw_affiliation_string":"Meta","institution_ids":[]},{"raw_affiliation_string":"Meta, Menlo Park, CA, US","institution_ids":["https://openalex.org/I4210099336"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100329828","display_name":"Yongfeng Zhang","orcid":"https://orcid.org/0000-0003-2633-8555"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]},{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL","US"],"is_corresponding":false,"raw_author_name":"Yongfeng Zhang","raw_affiliation_strings":["Rutgers University","Rutgers University, New Brunswick, NJ, US"],"raw_orcid":"https://orcid.org/0000-0003-2633-8555","affiliations":[{"raw_affiliation_string":"Rutgers University","institution_ids":["https://openalex.org/I4210096112"]},{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ, US","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.3933,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.96342986,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"1","issue":"4","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9945999979972839,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9945999979972839,"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/T11182","display_name":"Auction Theory and Applications","score":0.9878000020980835,"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"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9865000247955322,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/confounding","display_name":"Confounding","score":0.8797730803489685},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5663553476333618},{"id":"https://openalex.org/keywords/unobservable","display_name":"Unobservable","score":0.5395770072937012},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.47462213039398193},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.36716437339782715},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3399050831794739},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3266831040382385},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2891431152820587},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14217838644981384}],"concepts":[{"id":"https://openalex.org/C77350462","wikidata":"https://www.wikidata.org/wiki/Q1125472","display_name":"Confounding","level":2,"score":0.8797730803489685},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5663553476333618},{"id":"https://openalex.org/C2780695315","wikidata":"https://www.wikidata.org/wiki/Q3799040","display_name":"Unobservable","level":2,"score":0.5395770072937012},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.47462213039398193},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.36716437339782715},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3399050831794739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3266831040382385},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2891431152820587},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14217838644981384}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3606035","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606035","pdf_url":null,"source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Recommender Systems","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2110.07122","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2110.07122","pdf_url":"https://arxiv.org/pdf/2110.07122","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2110.07122","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2110.07122","pdf_url":"https://arxiv.org/pdf/2110.07122","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/13","display_name":"Climate action","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G1309303346","display_name":null,"funder_award_id":"IIS-1910154, IIS-2007907, IIS-2046457","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4002626585","display_name":"RI: Small: Enabling Interpretable AI via Bayesian Deep Learning","funder_award_id":"2127918","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G449450084","display_name":"III: Small: Towards Explainable Recommendation Systems","funder_award_id":"1910154","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5500175570","display_name":null,"funder_award_id":"IIS-1910154","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W2020631728","https://openalex.org/W2054141820","https://openalex.org/W2078488685","https://openalex.org/W2140310134","https://openalex.org/W2150291618","https://openalex.org/W2169038197","https://openalex.org/W2279176662","https://openalex.org/W2340526403","https://openalex.org/W2486285194","https://openalex.org/W2507134384","https://openalex.org/W2629213068","https://openalex.org/W2740920897","https://openalex.org/W2797400361","https://openalex.org/W2892888989","https://openalex.org/W2896537337","https://openalex.org/W2905569957","https://openalex.org/W2912255075","https://openalex.org/W2945684222","https://openalex.org/W2950975304","https://openalex.org/W2951625652","https://openalex.org/W2971196067","https://openalex.org/W2983831776","https://openalex.org/W2984589663","https://openalex.org/W2998534896","https://openalex.org/W3012600133","https://openalex.org/W3026200234","https://openalex.org/W3028135017","https://openalex.org/W3034348890","https://openalex.org/W3037735837","https://openalex.org/W3047934539","https://openalex.org/W3080913646","https://openalex.org/W3088511490","https://openalex.org/W3089238887","https://openalex.org/W3099404779","https://openalex.org/W3101148092","https://openalex.org/W3101935024","https://openalex.org/W3102540985","https://openalex.org/W3103310105","https://openalex.org/W3105712174","https://openalex.org/W3115418111","https://openalex.org/W3115487106","https://openalex.org/W3116873649","https://openalex.org/W3124308904","https://openalex.org/W3126629198","https://openalex.org/W3153754021","https://openalex.org/W3156622960","https://openalex.org/W3156939347","https://openalex.org/W3163008768","https://openalex.org/W3163155381","https://openalex.org/W3164238513","https://openalex.org/W3164548985","https://openalex.org/W3168738558","https://openalex.org/W3170713142","https://openalex.org/W3172253407","https://openalex.org/W3172823704","https://openalex.org/W3195311662","https://openalex.org/W3196327941","https://openalex.org/W3207607829","https://openalex.org/W3209458448","https://openalex.org/W3210519732","https://openalex.org/W3210547226","https://openalex.org/W4224309172","https://openalex.org/W4224313077","https://openalex.org/W4280587439","https://openalex.org/W4281729473","https://openalex.org/W4287750937","https://openalex.org/W4293059865","https://openalex.org/W4307007533","https://openalex.org/W4312716645","https://openalex.org/W4315706861","https://openalex.org/W4321480051","https://openalex.org/W4384891029","https://openalex.org/W6747678390","https://openalex.org/W6795247812","https://openalex.org/W6796350207","https://openalex.org/W6797088404","https://openalex.org/W6800882245","https://openalex.org/W6846207734"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W135044020","https://openalex.org/W4376854386"],"abstract_inverted_index":{"Recommender":[0],"systems":[1,41],"may":[2,15,42,104,120,129],"be":[3,60,130],"confounded":[4],"by":[5],"various":[6],"types":[7],"of":[8,47,95,177],"confounding":[9],"factors":[10],"(also":[11],"called":[12],"confounders)":[13],"that":[14,69,90,185],"lead":[16],"to":[17,26,173,190,194],"inaccurate":[18],"recommendations":[19],"and":[20,49,74,114,160],"sacrificed":[21],"recommendation":[22,197],"performance.":[23,198],"Current":[24],"approaches":[25],"solving":[27],"the":[28,81,93,111,123,133,139,175],"problem":[29],"usually":[30],"design":[31,163],"each":[32,36,52,56],"specific":[33,37,53,57],"model":[34,54,167],"for":[35,55,65],"confounder.":[38],"However,":[39],"real-world":[40,182],"include":[43],"a":[44,102,157,164],"huge":[45],"number":[46],"confounders":[48,128,155,193],"thus":[50],"designing":[51],"confounder":[58],"could":[59],"unrealistic.":[61],"More":[62],"importantly,":[63],"except":[64],"those":[66],"\u201cexplicit":[67],"confounders\u201d":[68,89],"experts":[70],"can":[71],"manually":[72],"identify":[73],"process":[75],"such":[76],"as":[77],"item\u2019s":[78],"position":[79],"in":[80,132],"ranking":[82],"list,":[83],"there":[84],"are":[85,91],"also":[86],"many":[87],"\u201clatent":[88],"beyond":[92],"imagination":[94],"experts.":[96],"For":[97],"example,":[98],"users\u2019":[99,115],"rating":[100],"on":[101,106,117,122,181],"song":[103],"depend":[105,121],"their":[107],"current":[108,112],"mood":[109],"or":[110],"weather,":[113],"preference":[116],"ice":[118],"creams":[119],"air":[124],"temperature.":[125],"Such":[126],"latent":[127],"unobservable":[131],"recorded":[134],"training":[135],"data.":[136],"To":[137],"solve":[138],"problem,":[140],"we":[141,162],"propose":[142],"Deconfounded":[143],"Causal":[144],"Collaborative":[145],"Filtering":[146],"(DCCF).":[147],"We":[148],"first":[149],"frame":[150],"user":[151],"behaviors":[152],"with":[153,170],"unobserved":[154,178,192],"into":[156],"causal":[158],"graph,":[159],"then":[161],"front-door":[165],"adjustment":[166],"carefully":[168],"fused":[169],"machine":[171],"learning":[172],"deconfound":[174,191],"influence":[176],"confounders.":[179],"Experiments":[180],"datasets":[183],"show":[184],"our":[186],"method":[187],"is":[188],"able":[189],"achieve":[195],"better":[196]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":17},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}