{"id":"https://openalex.org/W3139934801","doi":"https://doi.org/10.14778/3450980.3450983","title":"Optimizing bipartite matching in real-world applications by incremental cost computation","display_name":"Optimizing bipartite matching in real-world applications by incremental cost computation","publication_year":2021,"publication_date":"2021-03-01","ids":{"openalex":"https://openalex.org/W3139934801","doi":"https://doi.org/10.14778/3450980.3450983","mag":"3139934801"},"language":"en","primary_location":{"id":"doi:10.14778/3450980.3450983","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3450980.3450983","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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":"Proceedings of the VLDB Endowment","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/A5000634517","display_name":"Tenindra Abeywickrama","orcid":"https://orcid.org/0000-0003-1053-2193"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tenindra Abeywickrama","raw_affiliation_strings":["Grab-NUS AI Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Grab-NUS AI Lab","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113770951","display_name":"Victor Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Victor Liang","raw_affiliation_strings":["Grab-NUS AI Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Grab-NUS AI Lab","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077593594","display_name":"Kian\u2010Lee Tan","orcid":"https://orcid.org/0000-0001-9315-4057"},"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":"Kian-Lee Tan","raw_affiliation_strings":["National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1977,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.77889762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"14","issue":"7","first_page":"1150","last_page":"1158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12288","display_name":"Optimization and Search Problems","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.8623906373977661},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.7404090166091919},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.7251980304718018},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7142289876937866},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6680415868759155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6244845390319824},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.590876042842865},{"id":"https://openalex.org/keywords/assignment-problem","display_name":"Assignment problem","score":0.565215528011322},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5624940395355225},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.53904789686203},{"id":"https://openalex.org/keywords/3-dimensional-matching","display_name":"3-dimensional matching","score":0.4964037537574768},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.4710307717323303},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.400088369846344},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3921840786933899},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3171532154083252},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2379741668701172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12702924013137817}],"concepts":[{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.8623906373977661},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.7404090166091919},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7251980304718018},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7142289876937866},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6680415868759155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6244845390319824},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.590876042842865},{"id":"https://openalex.org/C85044808","wikidata":"https://www.wikidata.org/wiki/Q620614","display_name":"Assignment problem","level":2,"score":0.565215528011322},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5624940395355225},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.53904789686203},{"id":"https://openalex.org/C72545166","wikidata":"https://www.wikidata.org/wiki/Q10866593","display_name":"3-dimensional matching","level":4,"score":0.4964037537574768},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.4710307717323303},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.400088369846344},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3921840786933899},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3171532154083252},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2379741668701172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12702924013137817},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3450980.3450983","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3450980.3450983","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1522068547","https://openalex.org/W1969357318","https://openalex.org/W2014889099","https://openalex.org/W2031323533","https://openalex.org/W2041916017","https://openalex.org/W2055536684","https://openalex.org/W2064284095","https://openalex.org/W2076554191","https://openalex.org/W2079168081","https://openalex.org/W2113364427","https://openalex.org/W2125708920","https://openalex.org/W2141461755","https://openalex.org/W2148831787","https://openalex.org/W2149342630","https://openalex.org/W2160080073","https://openalex.org/W2163318198","https://openalex.org/W2222512263","https://openalex.org/W2254589950","https://openalex.org/W2523488852","https://openalex.org/W2742211145","https://openalex.org/W2803846618","https://openalex.org/W2808810245","https://openalex.org/W2914844844","https://openalex.org/W3036969273","https://openalex.org/W3037451370","https://openalex.org/W4213060883"],"related_works":["https://openalex.org/W2061664364","https://openalex.org/W2117957311","https://openalex.org/W66562208","https://openalex.org/W2107085419","https://openalex.org/W1964772317","https://openalex.org/W3139934801","https://openalex.org/W2097148845","https://openalex.org/W2770449675","https://openalex.org/W2136468415","https://openalex.org/W1536296221"],"abstract_inverted_index":{"The":[0],"Kuhn-Munkres":[1],"(KM)":[2],"algorithm":[3,9,175],"is":[4,11,176,183],"a":[5,28,127],"classical":[6],"combinatorial":[7],"optimization":[8],"that":[10,130],"widely":[12],"used":[13],"for":[14],"minimum":[15],"cost":[16,78,152],"bipartite":[17,52,63],"matching":[18],"in":[19,100,186],"many":[20],"real-world":[21,124,167],"applications,":[22],"such":[23],"as":[24,99,139,161],"transportation.":[25],"For":[26],"example,":[27],"ride-hailing":[29],"service":[30],"may":[31],"use":[32],"it":[33],"to":[34,41,43,106,133,156,179],"find":[35],"the":[36,45,58,74,81,92,95,101,150,157],"optimal":[37,68,96],"assignment":[38,97,154],"of":[39,76,94,103,111,153],"drivers":[40,105],"passengers":[42,107],"minimize":[44],"overall":[46,82,151],"wait":[47],"time.":[48,84],"Typically,":[49],"given":[50],"two":[51],"sets,":[53,169],"this":[54,119,180],"process":[55],"involves":[56,109],"computing":[57],"edge":[59,77,87,136],"costs":[60,137],"between":[61],"all":[62],"pairs":[64],"and":[65,171,182],"finding":[66],"an":[67,142],"matching.":[69],"However,":[70],"existing":[71],"works":[72],"overlook":[73],"impact":[75],"computation":[79,88,93,110],"on":[80,117,165],"running":[83],"In":[85],"reality,":[86],"often":[89],"significantly":[90,148],"outweighs":[91],"itself,":[98],"case":[102],"assigning":[104],"which":[108],"expensive":[112],"graph":[113],"shortest":[114],"paths.":[115],"Following":[116],"from":[118],"observation,":[120],"we":[121,162],"observe":[122],"common":[123],"settings":[125,188],"exhibit":[126],"useful":[128],"property":[129],"allows":[131],"us":[132],"incrementally":[134],"compute":[135],"only":[138],"required":[140],"using":[141],"inexpensive":[143],"lower-bound":[144],"heuristic.":[145],"This":[146],"technique":[147],"reduces":[149],"compared":[155],"original":[158],"KM":[159],"algorithm,":[160],"demonstrate":[163],"experimentally":[164],"multiple":[166],"data":[168],"workloads,":[170],"problems.":[172],"Moreover,":[173],"our":[174],"not":[177],"limited":[178],"domain":[181],"potentially":[184],"applicable":[185],"other":[187],"where":[189],"lower-bounding":[190],"heuristics":[191],"are":[192],"available.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
