{"id":"https://openalex.org/W4400982267","doi":"https://doi.org/10.1145/3661465","title":"Introduction to the Special Issue on Causal Inference for Recommender Systems","display_name":"Introduction to the Special Issue on Causal Inference for Recommender Systems","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4400982267","doi":"https://doi.org/10.1145/3661465"},"language":"en","primary_location":{"id":"doi:10.1145/3661465","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3661465","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":["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/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"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yongfeng Zhang","raw_affiliation_strings":["Department of Computer Science, Rutgers University, New Brunswick, United States"],"raw_orcid":"https://orcid.org/0000-0003-2633-8555","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rutgers University, New Brunswick, United States","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101755392","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0003-0144-1775"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Chen","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0144-1775","affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101922254","display_name":"Da Xu","orcid":"https://orcid.org/0000-0001-7599-2815"},"institutions":[{"id":"https://openalex.org/I1330693074","display_name":"Walmart (United States)","ror":"https://ror.org/04j0gge90","country_code":"US","type":"company","lineage":["https://openalex.org/I1330693074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Da Xu","raw_affiliation_strings":["Machine Learning, Walmart Labs, San Bruno, United States"],"raw_orcid":"https://orcid.org/0000-0001-7599-2815","affiliations":[{"raw_affiliation_string":"Machine Learning, Walmart Labs, San Bruno, United States","institution_ids":["https://openalex.org/I1330693074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063892002","display_name":"Tobias Schnabel","orcid":"https://orcid.org/0000-0002-9301-7631"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tobias Schnabel","raw_affiliation_strings":["Information and Data Sciences, Microsoft Research Redmond, Redmond, United States"],"raw_orcid":"https://orcid.org/0000-0002-9301-7631","affiliations":[{"raw_affiliation_string":"Information and Data Sciences, Microsoft Research Redmond, Redmond, United States","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100329828"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16411968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":"2","first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9991000294685364,"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/T10028","display_name":"Topic Modeling","score":0.9984999895095825,"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/recommender-system","display_name":"Recommender system","score":0.833397626876831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6220602989196777},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6059518456459045},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.5477849245071411},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4088658094406128},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.3261341452598572},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3226585388183594},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26950541138648987},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1967182755470276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1511956751346588},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.12771588563919067}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.833397626876831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6220602989196777},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6059518456459045},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.5477849245071411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4088658094406128},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3261341452598572},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3226585388183594},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26950541138648987},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1967182755470276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1511956751346588},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.12771588563919067}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3661465","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3661465","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W4324046908","https://openalex.org/W4384559993","https://openalex.org/W4388195387"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W790944756"],"abstract_inverted_index":{"A":[0],"significant":[1],"proportion":[2],"of":[3,16,30,40,139,145,158,179],"machine":[4],"learning":[5,22,36,70,73,94,100],"methodologies":[6],"for":[7,53,125,170],"recommendation":[8,54,75,146],"systems":[9,76],"are":[10,51],"grounded":[11],"in":[12,74,91,167],"the":[13,28,38,65,105,134,143,164,177],"fundamental":[14],"principle":[15],"matching,":[17],"utilizing":[18],"perceptual":[19],"and":[20,37,95,121,136,147,160,197],"similarity-based":[21],"approaches.":[23],"These":[24],"methods":[25],"include":[26],"both":[27,92],"extraction":[29],"features":[31],"from":[32,68,155,181],"data":[33,90],"through":[34],"representation":[35,93],"derivation":[39],"similarity":[41],"matching":[42],"functions":[43],"via":[44],"neural":[45],"function":[46],"learning.":[47],"While":[48],"these":[49],"models":[50,85,124],"important":[52],"systems,":[55],"their":[56],"foundational":[57],"design":[58],"philosophy":[59],"primarily":[60],"captures":[61],"correlational":[62],"signals":[63],"within":[64,142],"data.":[66],"Transitioning":[67],"correlation-based":[69],"to":[71,81,104,132],"causal":[72,84,99,140,168],"represents":[77],"a":[78],"critical":[79],"area":[80],"explore,":[82],"as":[83,185],"enable":[86],"extrapolation":[87],"beyond":[88],"observational":[89],"ranking":[96,149],"tasks.":[97],"Specifically,":[98],"offers":[101],"potential":[102],"enhancements":[103],"recommender":[106,171],"system":[107],"community":[108],"across":[109],"multiple":[110],"dimensions,":[111],"including,":[112],"but":[113],"not":[114],"limited":[115],"to,":[116],"explainable,":[117],"unbiased,":[118],"fairness-aware,":[119],"robust,":[120],"cognitive":[122],"reasoning":[123],"recommendation.":[126],"This":[127],"special":[128],"issue":[129],"is":[130],"dedicated":[131],"exploring":[133],"research":[135],"practical":[137],"applications":[138],"inference":[141],"realms":[144],"broader":[148],"scenarios.":[150],"It":[151],"has":[152,175],"attracted":[153,176],"interest":[154,178],"an":[156],"array":[157],"researchers":[159],"practitioners":[161],"on":[162],"disseminating":[163],"latest":[165],"developments":[166],"modeling":[169],"systems.":[172],"Moreover,":[173],"it":[174],"professionals":[180],"various":[182],"fields":[183],"such":[184],"Information":[186],"Retrieval,":[187],"Machine":[188],"Learning,":[189],"Artificial":[190],"Intelligence,":[191],"Natural":[192],"Language":[193],"Processing,":[194],"Data":[195],"Science,":[196],"others.":[198]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}