{"id":"https://openalex.org/W4384656545","doi":"https://doi.org/10.1145/3539618.3591838","title":"MDI: A Debiasing Method Combining Unbiased and Biased Data","display_name":"MDI: A Debiasing Method Combining Unbiased and Biased Data","publication_year":2023,"publication_date":"2023-07-18","ids":{"openalex":"https://openalex.org/W4384656545","doi":"https://doi.org/10.1145/3539618.3591838"},"language":"en","primary_location":{"id":"doi:10.1145/3539618.3591838","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3591838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-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/A5101868914","display_name":"Han Zhao","orcid":"https://orcid.org/0009-0005-0077-2451"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Han Zhao","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062581073","display_name":"Qing Cui","orcid":"https://orcid.org/0000-0002-4909-4568"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qing Cui","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048287456","display_name":"Xinyu Li","orcid":"https://orcid.org/0000-0002-6429-4816"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Li","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055860272","display_name":"Rongzhou Bao","orcid":"https://orcid.org/0000-0003-0108-2143"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rongzhou Bao","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430936","display_name":"Longfei Li","orcid":"https://orcid.org/0000-0002-9263-7011"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Longfei Li","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045140292","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-6033-6102"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021072205","display_name":"Zhehao Liu","orcid":"https://orcid.org/0009-0002-6652-5507"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhehao Liu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012138678","display_name":"Jinghua Feng","orcid":"https://orcid.org/0000-0001-7289-5497"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinghua Feng","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101868914"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9163,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79091668,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3280","last_page":"3284"},"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":0.9954000115394592,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9934999942779541,"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/debiasing","display_name":"Debiasing","score":0.9867132902145386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7733029723167419},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.7644363641738892},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7031441330909729},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5935215950012207},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5132229328155518},{"id":"https://openalex.org/keywords/unbiased-estimation","display_name":"Unbiased Estimation","score":0.44090861082077026},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.3718358278274536},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3461444675922394},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21634572744369507},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11701327562332153}],"concepts":[{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.9867132902145386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7733029723167419},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.7644363641738892},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7031441330909729},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5935215950012207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5132229328155518},{"id":"https://openalex.org/C2909318450","wikidata":"https://www.wikidata.org/wiki/Q15222032","display_name":"Unbiased Estimation","level":3,"score":0.44090861082077026},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.3718358278274536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3461444675922394},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21634572744369507},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11701327562332153},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3539618.3591838","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3591838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1974360117","https://openalex.org/W2045745608","https://openalex.org/W2340526403","https://openalex.org/W2629213068","https://openalex.org/W3012600133","https://openalex.org/W3035404611","https://openalex.org/W3101148092","https://openalex.org/W3103310105","https://openalex.org/W3153906321","https://openalex.org/W3164238513"],"related_works":["https://openalex.org/W2541565311","https://openalex.org/W3049453136","https://openalex.org/W2784019465","https://openalex.org/W4377821507","https://openalex.org/W2751555317","https://openalex.org/W569810835","https://openalex.org/W2900766238","https://openalex.org/W1973721774","https://openalex.org/W1513289763","https://openalex.org/W2112497756"],"abstract_inverted_index":{"In":[0,49],"recent":[1],"years,":[2],"many":[3],"methods":[4],"have":[5],"been":[6],"proposed":[7,93],"to":[8,38,85],"alleviate":[9],"the":[10,47,87,92],"biases":[11],"in":[12],"recommender":[13],"systems":[14],"by":[15],"combining":[16],"biased":[17],"data":[18,25,56],"and":[19,64,81,89],"unbiased":[20,62],"data.":[21,48],"Among":[22],"these":[23],"methods,":[24],"imputation":[26,57],"method":[27],"is":[28],"effective,":[29],"but":[30],"previous":[31],"works":[32],"only":[33],"employ":[34],"a":[35,54,65],"straightforward":[36],"model":[37,63,67],"generate":[39],"imputed":[40],"data,":[41],"which":[42],"can":[43],"not":[44],"fully":[45],"characterize":[46],"this":[50],"paper,":[51],"we":[52],"propose":[53],"novel":[55],"approach":[58],"that":[59],"combines":[60],"an":[61],"debiasing":[66],"with":[68],"adaptively":[69],"learnt":[70],"weights.":[71],"We":[72],"conduct":[73],"extensive":[74],"experiments":[75],"on":[76],"two":[77],"public":[78],"recommendation":[79],"datasets":[80],"one":[82],"production":[83],"dataset":[84],"demonstrate":[86],"effectiveness":[88],"robustness":[90],"of":[91],"method.":[94]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
