{"id":"https://openalex.org/W3193093489","doi":"https://doi.org/10.24963/ijcai.2021/58","title":"New Algorithms for Japanese Residency Matching","display_name":"New Algorithms for Japanese Residency Matching","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3193093489","doi":"https://doi.org/10.24963/ijcai.2021/58","mag":"3193093489"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/58","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/58","pdf_url":"https://www.ijcai.org/proceedings/2021/0058.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0058.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064189451","display_name":"Zhaohong Sun","orcid":"https://orcid.org/0000-0003-1394-1232"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhaohong Sun","raw_affiliation_strings":["UNSW Sydney"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNSW Sydney","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074612666","display_name":"Taiki Todo","orcid":"https://orcid.org/0000-0003-3467-329X"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taiki Todo","raw_affiliation_strings":["Kyushu University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu University","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048575057","display_name":"Makoto Yokoo","orcid":"https://orcid.org/0000-0003-4929-396X"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Makoto Yokoo","raw_affiliation_strings":["Kyushu University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu University","institution_ids":["https://openalex.org/I135598925"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3015,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75796544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"412","last_page":"418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12970","display_name":"Names, Identity, and Discrimination Research","score":0.942300021648407,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9265000224113464,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inefficiency","display_name":"Inefficiency","score":0.8586380481719971},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.81297767162323},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7495501041412354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6375964283943176},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.5965862274169922},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.5707923769950867},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.5234155654907227},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4292134940624237},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22711578011512756},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14780667424201965},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.13694167137145996},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.09418228268623352},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09208786487579346}],"concepts":[{"id":"https://openalex.org/C2778869765","wikidata":"https://www.wikidata.org/wiki/Q6028363","display_name":"Inefficiency","level":2,"score":0.8586380481719971},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.81297767162323},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7495501041412354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6375964283943176},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.5965862274169922},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.5707923769950867},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.5234155654907227},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4292134940624237},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22711578011512756},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14780667424201965},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.13694167137145996},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09418228268623352},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09208786487579346},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2021/58","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/58","pdf_url":"https://www.ijcai.org/proceedings/2021/0058.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/58","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/58","pdf_url":"https://www.ijcai.org/proceedings/2021/0058.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3193093489.pdf"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1766224868","https://openalex.org/W2060580529","https://openalex.org/W2096375861","https://openalex.org/W2110013180","https://openalex.org/W2116188555","https://openalex.org/W2186184713","https://openalex.org/W2215561854","https://openalex.org/W2217441737","https://openalex.org/W2280742990","https://openalex.org/W2566428960","https://openalex.org/W2582892330","https://openalex.org/W2608075703","https://openalex.org/W2608462625","https://openalex.org/W2616078394","https://openalex.org/W2808294544","https://openalex.org/W2945004604","https://openalex.org/W2971707955","https://openalex.org/W3037367067"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2264067234","https://openalex.org/W3124243301","https://openalex.org/W1571502335","https://openalex.org/W1589409554","https://openalex.org/W2759038785","https://openalex.org/W2172232600","https://openalex.org/W3123876860","https://openalex.org/W1968154277","https://openalex.org/W1663521841"],"abstract_inverted_index":{"We":[0],"study":[1],"the":[2,39,43,82,92],"Japanese":[3],"Residency":[4],"Matching":[5],"Program":[6],"(JRMP)":[7],"in":[8,51,61,96],"which":[9],"hospitals":[10,18],"are":[11,21,36,89],"partitioned":[12],"into":[13],"disjoint":[14],"regions":[15,20],"and":[16,19,85,102],"both":[17],"subject":[22],"to":[23,41,59,75,81,91],"quotas.":[24],"To":[25],"achieve":[26],"a":[27],"balanced":[28],"distribution":[29],"of":[30,45,63],"doctors":[31,46],"across":[32],"regions,":[33],"hard":[34,56],"bounds":[35,57],"imposed":[37],"by":[38,98],"government":[40],"limit":[42],"number":[44],"who":[47],"can":[48],"be":[49],"placed":[50],"each":[52],"region.":[53],"However,":[54],"such":[55],"lead":[58],"inefficiency":[60],"terms":[62],"wasted":[64],"vacant":[65],"positions.":[66],"In":[67],"this":[68],"paper,":[69],"we":[70],"propose":[71],"two":[72],"suitable":[73],"algorithms":[74],"reduce":[76],"waste":[77],"with":[78],"minimal":[79],"modification":[80],"current":[83],"system":[84],"show":[86],"that":[87],"they":[88],"superior":[90],"algorithm":[93],"currently":[94],"deployed":[95],"JRMP":[97],"comparing":[99],"them":[100],"theoretically":[101],"empirically.":[103]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}