{"id":"https://openalex.org/W4399785759","doi":"https://doi.org/10.1145/3673762","title":"Deconfounding User Preference in Recommendation Systems through Implicit and Explicit Feedback","display_name":"Deconfounding User Preference in Recommendation Systems through Implicit and Explicit Feedback","publication_year":2024,"publication_date":"2024-06-18","ids":{"openalex":"https://openalex.org/W4399785759","doi":"https://doi.org/10.1145/3673762"},"language":"en","primary_location":{"id":"doi:10.1145/3673762","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3673762","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3673762","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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 Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3673762","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070656599","display_name":"Yuliang Liang","orcid":"https://orcid.org/0000-0002-2946-7910"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuliang Liang","raw_affiliation_strings":["Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-2946-7910","affiliations":[{"raw_affiliation_string":"Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086494876","display_name":"Enneng Yang","orcid":"https://orcid.org/0000-0001-5419-5286"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enneng Yang","raw_affiliation_strings":["Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-5419-5286","affiliations":[{"raw_affiliation_string":"Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007061198","display_name":"Guibing Guo","orcid":"https://orcid.org/0000-0002-1709-5056"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guibing Guo","raw_affiliation_strings":["Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-1709-5056","affiliations":[{"raw_affiliation_string":"Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055284616","display_name":"Wei Cai","orcid":"https://orcid.org/0000-0002-0704-6621"},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Cai","raw_affiliation_strings":["Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., China"],"raw_orcid":"https://orcid.org/0000-0002-0704-6621","affiliations":[{"raw_affiliation_string":"Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., China","institution_ids":["https://openalex.org/I4210134419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055317343","display_name":"Linying Jiang","orcid":"https://orcid.org/0000-0001-7492-0473"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linying Jiang","raw_affiliation_strings":["Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-7492-0473","affiliations":[{"raw_affiliation_string":"Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100326915","display_name":"Xingwei Wang","orcid":"https://orcid.org/0000-0003-2856-4716"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingwei Wang","raw_affiliation_strings":["Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-2856-4716","affiliations":[{"raw_affiliation_string":"Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.477,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.94821551,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"18","issue":"8","first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9970999956130981,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9517999887466431,"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/unobservable","display_name":"Unobservable","score":0.8518743515014648},{"id":"https://openalex.org/keywords/confounding","display_name":"Confounding","score":0.8086717128753662},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6543108224868774},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6477131247520447},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6468587517738342},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6208948493003845},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.5653390288352966},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5634312033653259},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5136687159538269},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.44835904240608215},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3441532254219055},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3410726487636566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3285161852836609},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24826020002365112},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19110703468322754},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.131975919008255},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.06675460934638977}],"concepts":[{"id":"https://openalex.org/C2780695315","wikidata":"https://www.wikidata.org/wiki/Q3799040","display_name":"Unobservable","level":2,"score":0.8518743515014648},{"id":"https://openalex.org/C77350462","wikidata":"https://www.wikidata.org/wiki/Q1125472","display_name":"Confounding","level":2,"score":0.8086717128753662},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6543108224868774},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6477131247520447},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6468587517738342},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6208948493003845},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.5653390288352966},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5634312033653259},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5136687159538269},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.44835904240608215},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3441532254219055},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3410726487636566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3285161852836609},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24826020002365112},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19110703468322754},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.131975919008255},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.06675460934638977}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3673762","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3673762","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3673762","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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 Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3673762","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3673762","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3673762","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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 Knowledge Discovery from Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2551476765","display_name":null,"funder_award_id":"62032013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G655555988","display_name":null,"funder_award_id":"N2317002","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399785759.pdf"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W2020631728","https://openalex.org/W2054141820","https://openalex.org/W2187089797","https://openalex.org/W2486285194","https://openalex.org/W2963085847","https://openalex.org/W2983831776","https://openalex.org/W2990714382","https://openalex.org/W3089238887","https://openalex.org/W3092103025","https://openalex.org/W3160537436","https://openalex.org/W3164548985","https://openalex.org/W3168738558","https://openalex.org/W3200355029","https://openalex.org/W3205476866","https://openalex.org/W4312551924","https://openalex.org/W4318831962","https://openalex.org/W4387623859","https://openalex.org/W4392499463","https://openalex.org/W4392939710","https://openalex.org/W6600553734","https://openalex.org/W6751899708"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"are":[2],"influenced":[3],"by":[4,29,103],"many":[5,51],"confounding":[6,38,52],"factors":[7,39,53],"(i.e.,":[8],"confounders)":[9],"which":[10,91,107],"result":[11],"in":[12,140],"various":[13],"biases":[14,28],"(e.g.,":[15,54],"popularity":[16],"biases)":[17],"and":[18,43,88,128],"inaccurate":[19,65],"user":[20,66,95],"preference.":[21,67,96],"Existing":[22],"approaches":[23],"try":[24],"to":[25,110],"eliminate":[26,111],"these":[27],"inference":[30],"with":[31,86],"causal":[32,84],"graphs.":[33],"However,":[34],"they":[35],"assume":[36],"all":[37],"can":[40,92],"be":[41,58],"observed":[42],"no":[44],"hidden":[45],"confounders":[46],"exist.":[47],"We":[48],"argue":[49],"that":[50,132],"season)":[55],"may":[56],"not":[57],"observable":[59],"from":[60],"user\u2013item":[61],"interaction":[62],"data,":[63],"resulting":[64],"In":[68],"this":[69],"article,":[70],"we":[71,80,98,118],"propose":[72,81],"a":[73,82,100,120],"deconfounded":[74,101],"recommender":[75],"considering":[76],"unobservable":[77],"confounders.":[78,116],"Specifically,":[79],"new":[83],"graph":[85],"explicit":[87],"implicit":[89],"feedback,":[90],"better":[93,136],"model":[94],"Then,":[97],"realize":[99],"estimator":[102],"the":[104,112,129],"front-door":[105],"adjustment,":[106],"is":[108],"able":[109],"effect":[113],"of":[114,122,142],"unobserved":[115],"Finally,":[117],"conduct":[119],"series":[121],"experiments":[123],"on":[124],"two":[125],"real-world":[126],"datasets,":[127],"results":[130],"show":[131],"our":[133],"approach":[134],"performs":[135],"than":[137],"other":[138],"counterparts":[139],"terms":[141],"recommendation":[143],"accuracy.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}