{"id":"https://openalex.org/W7131395451","doi":"https://doi.org/10.1109/tkde.2026.3667938","title":"Utility-Distribution Aware Real-Time Cross Online Matching in Spatial Crowdsourcing","display_name":"Utility-Distribution Aware Real-Time Cross Online Matching in Spatial Crowdsourcing","publication_year":2026,"publication_date":"2026-02-25","ids":{"openalex":"https://openalex.org/W7131395451","doi":"https://doi.org/10.1109/tkde.2026.3667938"},"language":null,"primary_location":{"id":"doi:10.1109/tkde.2026.3667938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2026.3667938","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5126839725","display_name":"Yurong Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yurong Cheng","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8696-9685","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657570","display_name":"Yi Yang","orcid":"https://orcid.org/0000-0002-6107-4607"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-2091-5490","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015400531","display_name":"Bo Li","orcid":"https://orcid.org/0000-0002-7294-6888"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyang Li","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0080-8857","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121775183","display_name":"Xiangmin Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiangmin Zhou","raw_affiliation_strings":["School of Computing Technologies, RMIT University, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1302-818X","affiliations":[{"raw_affiliation_string":"School of Computing Technologies, RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089517232","display_name":"Yuan Yu","orcid":"https://orcid.org/0000-0001-5453-2377"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Yuan","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0247-9866","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126837351","display_name":"Guoren Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoren Wang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0181-8379","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011679038","display_name":"Xiangguo Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangguo Zhao","raw_affiliation_strings":["School of Software, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-5029-5658","affiliations":[{"raw_affiliation_string":"School of Software, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17034068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"6","first_page":"4062","last_page":"4075"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9545999765396118,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9545999765396118,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11106","display_name":"Data Management and Algorithms","score":0.011599999852478504,"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":0.004699999932199717,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.8848000168800354},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7620999813079834},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5539000034332275},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.5289999842643738},{"id":"https://openalex.org/keywords/online-algorithm","display_name":"Online algorithm","score":0.5078999996185303},{"id":"https://openalex.org/keywords/competitive-analysis","display_name":"Competitive analysis","score":0.36959999799728394},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.3287999927997589}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.8848000168800354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8357999920845032},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7620999813079834},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5539000034332275},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.5289999842643738},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.5078999996185303},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4020000100135803},{"id":"https://openalex.org/C102408133","wikidata":"https://www.wikidata.org/wiki/Q5156350","display_name":"Competitive analysis","level":3,"score":0.36959999799728394},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34459999203681946},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.3287999927997589},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.3151000142097473},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C128669082","wikidata":"https://www.wikidata.org/wiki/Q583461","display_name":"Randomized algorithm","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28780001401901245},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2736999988555908},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2709999978542328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26820001006126404},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2680000066757202}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2026.3667938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2026.3667938","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1009048561","display_name":null,"funder_award_id":"62472027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1861350651","display_name":null,"funder_award_id":"62427808","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G377220362","display_name":null,"funder_award_id":"62225203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4417073627","display_name":null,"funder_award_id":"62532001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5264141711","display_name":null,"funder_award_id":"62394332","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6048891760","display_name":null,"funder_award_id":"L241010","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G7610979393","display_name":null,"funder_award_id":"62202046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8197150722","display_name":null,"funder_award_id":"U21A20516","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"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W561882003","https://openalex.org/W2430704425","https://openalex.org/W2756436983","https://openalex.org/W2798550789","https://openalex.org/W2798728990","https://openalex.org/W2920868908","https://openalex.org/W2950014839","https://openalex.org/W2953296510","https://openalex.org/W2963014036","https://openalex.org/W2966670081","https://openalex.org/W3032867920","https://openalex.org/W3080373606","https://openalex.org/W3166344325","https://openalex.org/W3174648681","https://openalex.org/W3214691715","https://openalex.org/W4290927763","https://openalex.org/W4293336299","https://openalex.org/W4383554656","https://openalex.org/W4385270620","https://openalex.org/W4386280800","https://openalex.org/W4386453491","https://openalex.org/W4400909630"],"related_works":[],"abstract_inverted_index":{"Spatial":[0],"crowdsourcing":[1],"platforms":[2,15],"have":[3],"become":[4],"indispensable":[5],"in":[6,125,132],"addressing":[7],"the":[8,30,44,54,102,133],"evolving":[9],"needs":[10],"of":[11,33,46,105],"modern":[12],"society.":[13],"These":[14],"facilitate":[16],"essential":[17],"services":[18],"such":[19],"as":[20],"ride-sharing,":[21],"on-demand":[22],"food":[23],"delivery,":[24],"and":[25,35,70,76,112,128],"efficient":[26],"parcel":[27],"distribution.":[28],"However,":[29],"uneven":[31],"distribution":[32],"workers":[34],"requests":[36],"under":[37],"a":[38,84,122,129],"single-platform":[39],"setting":[40],"may":[41],"lead":[42],"to":[43,96],"loss":[45],"tasks.":[47],"To":[48],"address":[49],"this":[50],"issue,":[51],"we":[52,82],"introduce":[53],"Cross":[55],"Online":[56,88],"Matching":[57,89],"(COM)":[58],"problem,":[59],"which":[60,72],"facilitates":[61],"collaboration":[62],"among":[63],"multiple":[64],"platforms.":[65],"We":[66],"first":[67],"propose":[68],"DemCOM":[69],"RamCOM,":[71],"adopt":[73],"deterministic":[74],"greedy":[75],"randomized":[77],"trade-off":[78],"strategies,":[79],"respectively.":[80],"Furthermore,":[81],"develop":[83],"Utility-Distribution":[85],"Aware":[86],"Cooperative":[87],"(UDACOM)":[90],"algorithm":[91],"that":[92],"leverages":[93],"supply-demand":[94],"relationships":[95],"optimize":[97],"decision-making.":[98],"Theoretical":[99],"analysis":[100],"confirms":[101],"competitive":[103],"ratios":[104],"our":[106,115],"algorithms.":[107],"Validated":[108],"on":[109],"both":[110],"real":[111],"synthetic":[113],"datasets,":[114],"approach":[116],"significantly":[117],"outperforms":[118],"state-of-the-art":[119],"methods,":[120],"achieving":[121],"5%":[123],"increase":[124],"total":[126],"revenue":[127],"3%":[130],"improvement":[131],"successful":[134],"matching":[135],"rate.":[136]},"counts_by_year":[],"updated_date":"2026-05-06T06:03:25.996018","created_date":"2026-02-26T00:00:00"}
