{"id":"https://openalex.org/W4414034970","doi":"https://doi.org/10.1145/3705328.3748498","title":"CONSEQUENCES 2025 - The 4th Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems","display_name":"CONSEQUENCES 2025 - The 4th Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems","publication_year":2025,"publication_date":"2025-09-06","ids":{"openalex":"https://openalex.org/W4414034970","doi":"https://doi.org/10.1145/3705328.3748498"},"language":"en","primary_location":{"id":"doi:10.1145/3705328.3748498","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748498","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748498","source":null,"license":null,"license_id":null,"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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748498","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002072527","display_name":"Harrie Oosterhuis","orcid":"https://orcid.org/0000-0002-0458-9233"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Harrie Oosterhuis","raw_affiliation_strings":["Radboud University, Nijmegen, Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-0458-9233","affiliations":[{"raw_affiliation_string":"Radboud University, Nijmegen, Netherlands","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083237271","display_name":"Olivier Jeunen","orcid":"https://orcid.org/0000-0001-6256-5814"},"institutions":[{"id":"https://openalex.org/I4210119540","display_name":"Province of Antwerp","ror":"https://ror.org/022v8s261","country_code":"BE","type":"government","lineage":["https://openalex.org/I4210119540"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Olivier Jeunen","raw_affiliation_strings":["Aampe, Antwerp, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0001-6256-5814","affiliations":[{"raw_affiliation_string":"Aampe, Antwerp, United Kingdom","institution_ids":["https://openalex.org/I4210119540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101991694","display_name":"Yuta Saito","orcid":"https://orcid.org/0000-0003-4357-5835"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuta Saito","raw_affiliation_strings":["Cornell University, Ithaca, USA"],"raw_orcid":"https://orcid.org/0000-0003-4357-5835","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101934111","display_name":"Zhaoran Wang","orcid":"https://orcid.org/0000-0002-6617-4842"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yixin Wang","raw_affiliation_strings":["University of Michigan, Ann Arbor, USA"],"raw_orcid":"https://orcid.org/0000-0002-6617-4842","affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003359035","display_name":"Flavian Vasile","orcid":"https://orcid.org/0009-0006-3578-5655"},"institutions":[{"id":"https://openalex.org/I4210161401","display_name":"Criteo (France)","ror":"https://ror.org/04vyg0r47","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210161401"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Flavian Vasile","raw_affiliation_strings":["Criteo, Paris, France"],"raw_orcid":"https://orcid.org/0009-0006-3578-5655","affiliations":[{"raw_affiliation_string":"Criteo, Paris, France","institution_ids":["https://openalex.org/I4210161401"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014687727","display_name":"Thorsten Joachims","orcid":"https://orcid.org/0000-0003-3654-3683"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thorsten Joachims","raw_affiliation_strings":["Cornell University, Ithaca, USA"],"raw_orcid":"https://orcid.org/0000-0003-3654-3683","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5002072527"],"corresponding_institution_ids":["https://openalex.org/I145872427"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27088036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1362","last_page":"1365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9983999729156494,"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":0.9975000023841858,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/recommender-system","display_name":"Recommender system","score":0.8762097358703613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.75738525390625},{"id":"https://openalex.org/keywords/counterfactual-conditional","display_name":"Counterfactual conditional","score":0.7046257853507996},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.7037835121154785},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41871803998947144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4185595214366913},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3485255837440491},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.17927205562591553},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1011570394039154}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8762097358703613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.75738525390625},{"id":"https://openalex.org/C71889745","wikidata":"https://www.wikidata.org/wiki/Q1783264","display_name":"Counterfactual conditional","level":3,"score":0.7046257853507996},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.7037835121154785},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41871803998947144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4185595214366913},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3485255837440491},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.17927205562591553},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1011570394039154},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3705328.3748498","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748498","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748498","source":null,"license":null,"license_id":null,"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:deepblue.lib.umich.edu:2027.42/199679","is_oa":false,"landing_page_url":"https://hdl.handle.net/2027.42/199679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:repository.ubn.ru.nl:2066/323049","is_oa":false,"landing_page_url":"https://hdl.handle.net/2066/323049","pdf_url":null,"source":{"id":"https://openalex.org/S4306401067","display_name":"Radboud Repository (Radboud University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145872427","host_organization_name":"Radboud University Nijmegen","host_organization_lineage":["https://openalex.org/I145872427"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article in monograph or in proceedings"}],"best_oa_location":{"id":"doi:10.1145/3705328.3748498","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748498","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748498","source":null,"license":null,"license_id":null,"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/G251060810","display_name":"Search Systems with a Bayesian Understanding of Their Users (BAYES-SEARCH)","funder_award_id":"VI.Veni.222.269","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G2569205066","display_name":null,"funder_award_id":"2310831","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3335687950","display_name":"ACED: Tail-aware Generative Modeling for Inverse Discovery of Molecules","funder_award_id":"2435696","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G396568656","display_name":null,"funder_award_id":"2428059","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4406361865","display_name":"CAREER: Bringing Structure to the Unstructured: Robust Causal and Statistical Modeling of High-dimensional Unstructured Data","funder_award_id":"2440954","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5895342762","display_name":null,"funder_award_id":"2231174","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8101864701","display_name":null,"funder_award_id":"N00014-23-1-2590","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"},{"id":"https://openalex.org/F4320333858","display_name":"Michigan Institute for Data Science, University of Michigan","ror":null},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414034970.pdf","grobid_xml":"https://content.openalex.org/works/W4414034970.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W2559655401","https://openalex.org/W2604520541","https://openalex.org/W2629213068","https://openalex.org/W3081226161","https://openalex.org/W3089238887","https://openalex.org/W3103310105","https://openalex.org/W3112511105","https://openalex.org/W3135277963","https://openalex.org/W3155690528","https://openalex.org/W3193395366","https://openalex.org/W3200739262","https://openalex.org/W3201286590","https://openalex.org/W4213113302","https://openalex.org/W4283654062","https://openalex.org/W4296604501","https://openalex.org/W4307302081","https://openalex.org/W4386729966","https://openalex.org/W4392384882","https://openalex.org/W4403220091","https://openalex.org/W4403220260","https://openalex.org/W4403221398","https://openalex.org/W4403221644","https://openalex.org/W4403221787"],"related_works":["https://openalex.org/W2598664120","https://openalex.org/W2056582926","https://openalex.org/W1252480625","https://openalex.org/W3028884462","https://openalex.org/W2168582470","https://openalex.org/W4291213313","https://openalex.org/W4287775150","https://openalex.org/W1813984835","https://openalex.org/W3096942073","https://openalex.org/W2383579238"],"abstract_inverted_index":{"Recommender":[0],"systems":[1,85],"are":[2,94,120],"inherently":[3],"decision-making":[4],"systems,":[5],"taking":[6],"actions":[7],"that":[8],"have":[9],"consequences":[10,16],"for":[11,26,95],"the":[12,23,54,92],"world":[13],"around":[14],"them.Some":[15],"might":[17,31],"be":[18,32],"desirable":[19],"(for":[20,34],"example,":[21,35],"growing":[22,65],"user":[24],"base":[25],"an":[27,72],"online":[28],"platform),":[29],"others":[30],"unintended":[33],"amplifying":[36],"inequality":[37],"among":[38],"item":[39],"providers).In":[40],"order":[41],"to":[42,49,51,90,113,128],"reason":[43],"about":[44],"these":[45],"consequences,":[46],"we":[47,80,103],"need":[48],"resort":[50],"methods":[52],"from":[53,78],"literature":[55],"on":[56],"causal":[57,88,96],"inference.Whilst":[58],"this":[59,123],"research":[60,76,124],"area":[61],"has":[62],"seen":[63],"a":[64],"interest":[66],"in":[67,86,98,122],"recent":[68],"years,":[69],"there":[70],"is":[71],"abundance":[73],"of":[74],"open":[75],"questions":[77],"how":[79,102],"should":[81],"model":[82],"large-scale":[83],"recommender":[84],"such":[87],"frameworks,":[89],"what":[91],"limitations":[93],"identifiability":[97],"general":[99],"settings,":[100],"and":[101,117,126],"can":[104],"properly":[105],"handle":[106],"confounding":[107],"variables.The":[108],"CONSEQUENCES":[109],"workshop":[110],"series":[111],"aims":[112],"bring":[114],"together":[115],"researchers":[116],"practitioners":[118],"who":[119],"interested":[121],"topic,":[125],"wish":[127],"help":[129],"shape":[130],"its":[131],"future.":[132]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
