{"id":"https://openalex.org/W4224308683","doi":"https://doi.org/10.1145/3485447.3512251","title":"Causal Representation Learning for Out-of-Distribution Recommendation","display_name":"Causal Representation Learning for Out-of-Distribution Recommendation","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4224308683","doi":"https://doi.org/10.1145/3485447.3512251"},"language":"en","primary_location":{"id":"doi:10.1145/3485447.3512251","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3485447.3512251","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3485447.3512251","source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2022","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3485447.3512251","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100368524","display_name":"Wenjie Wang","orcid":"https://orcid.org/0000-0002-5199-1428"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Wenjie Wang","raw_affiliation_strings":["National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083746705","display_name":"Xinyu Lin","orcid":"https://orcid.org/0000-0002-6931-3182"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xinyu Lin","raw_affiliation_strings":["National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051925942","display_name":"Fuli Feng","orcid":"https://orcid.org/0000-0002-5828-9842"},"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":"Fuli Feng","raw_affiliation_strings":["University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038668215","display_name":"Xiangnan He","orcid":"https://orcid.org/0000-0001-8472-7992"},"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":"Xiangnan He","raw_affiliation_strings":["University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042354939","display_name":"Min Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Min Lin","raw_affiliation_strings":["Sea AI Lab, Singapore"],"affiliations":[{"raw_affiliation_string":"Sea AI Lab, Singapore","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089404640","display_name":"Tat\u2010Seng Chua","orcid":"https://orcid.org/0000-0001-6097-7807"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tat-Seng Chua","raw_affiliation_strings":["National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100368524"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":13.5632,"has_fulltext":true,"cited_by_count":96,"citation_normalized_percentile":{"value":0.99185132,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3562","last_page":"3571"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9988999962806702,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.7623379826545715},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.7491918802261353},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6661539077758789},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6546429395675659},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6441822648048401},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.635428786277771},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6209790110588074},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5398809909820557},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5326812863349915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45663028955459595},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41180694103240967},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3541620969772339},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33764979243278503},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08917966485023499},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0665585994720459}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7623379826545715},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7491918802261353},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6661539077758789},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6546429395675659},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6441822648048401},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.635428786277771},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6209790110588074},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5398809909820557},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5326812863349915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45663028955459595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41180694103240967},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3541620969772339},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33764979243278503},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08917966485023499},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0665585994720459},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3485447.3512251","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3485447.3512251","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3485447.3512251","source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2022","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3485447.3512251","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3485447.3512251","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3485447.3512251","source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2022","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"No poverty","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G2182495747","display_name":null,"funder_award_id":"2121002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3828173677","display_name":null,"funder_award_id":"62121002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4224308683.pdf","grobid_xml":"https://content.openalex.org/works/W4224308683.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1990846291","https://openalex.org/W2259314895","https://openalex.org/W2295739661","https://openalex.org/W2629213068","https://openalex.org/W2765564115","https://openalex.org/W2771080603","https://openalex.org/W2809291355","https://openalex.org/W2963085847","https://openalex.org/W2964983698","https://openalex.org/W2982108874","https://openalex.org/W2998534896","https://openalex.org/W3012576969","https://openalex.org/W3033630125","https://openalex.org/W3034896171","https://openalex.org/W3035651653","https://openalex.org/W3044311607","https://openalex.org/W3049280883","https://openalex.org/W3049478012","https://openalex.org/W3081286828","https://openalex.org/W3088511490","https://openalex.org/W3093002391","https://openalex.org/W3093242741","https://openalex.org/W3093563174","https://openalex.org/W3094452565","https://openalex.org/W3099839483","https://openalex.org/W3100324210","https://openalex.org/W3100945072","https://openalex.org/W3103310105","https://openalex.org/W3116172555","https://openalex.org/W3123384096","https://openalex.org/W3135588948","https://openalex.org/W3152876231","https://openalex.org/W3153189161","https://openalex.org/W3153754021","https://openalex.org/W3154023003","https://openalex.org/W3154419237","https://openalex.org/W3155785643","https://openalex.org/W3156861396","https://openalex.org/W3156939347","https://openalex.org/W3163327183","https://openalex.org/W3164548985","https://openalex.org/W3168738558","https://openalex.org/W3176726917","https://openalex.org/W3177101259","https://openalex.org/W3177379791","https://openalex.org/W3183346198","https://openalex.org/W3197899028","https://openalex.org/W3209943551","https://openalex.org/W3210341087","https://openalex.org/W4288080156"],"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/W4288390103","https://openalex.org/W4317039510","https://openalex.org/W2381850946"],"abstract_inverted_index":{"Modern":[0],"recommender":[1],"systems":[2],"learn":[3],"user":[4,15,37,58],"representations":[5],"from":[6,11],"historical":[7],"interactions,":[8],"which":[9],"suffer":[10],"the":[12,30,35,48],"problem":[13,52],"of":[14],"feature":[16,59],"shifts,":[17],"such":[18],"as":[19],"an":[20,54],"income":[21],"increase.":[22],"Historical":[23],"interactions":[24],"will":[25],"inject":[26],"out-of-date":[27],"information":[28],"into":[29],"representation":[31,70],"in":[32,53],"conflict":[33],"with":[34,57],"latest":[36],"feature,":[38],"leading":[39],"to":[40],"improper":[41],"recommendations.":[42],"In":[43],"this":[44],"work,":[45],"we":[46,65],"consider":[47],"Out-Of-Distribution":[49],"(OOD)":[50],"recommendation":[51],"OOD":[55,75,80],"environment":[56],"shifts.":[60],"To":[61],"pursue":[62],"high":[63],"fidelity,":[64],"set":[66],"additional":[67],"objectives":[68],"for":[69],"learning":[71],"as:":[72],"1)":[73],"strong":[74],"generalization":[76],"and":[77],"2)":[78],"fast":[79],"adaptation.":[81]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":30},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":30},{"year":2022,"cited_by_count":8}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
