{"id":"https://openalex.org/W4391331206","doi":"https://doi.org/10.1109/smc53992.2023.10393968","title":"Pricing Research on Spatial Crowdsourcing Tasks Under Incompletely Uncertain Scene Information","display_name":"Pricing Research on Spatial Crowdsourcing Tasks Under Incompletely Uncertain Scene Information","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4391331206","doi":"https://doi.org/10.1109/smc53992.2023.10393968"},"language":"en","primary_location":{"id":"doi:10.1109/smc53992.2023.10393968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53992.2023.10393968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5093816358","display_name":"Lin Weida","orcid":null},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Weida","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Engineering University,Harbin,China","School of Computer Science and Technology, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Engineering University,Harbin,China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":null,"display_name":"Dong Hongbin","orcid":null},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Hongbin","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Engineering University,Harbin,China","School of Computer Science and Technology, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Engineering University,Harbin,China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":0.3287,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62872734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"534","last_page":"541"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9976000189781189,"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":0.9976000189781189,"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/T11182","display_name":"Auction Theory and Applications","score":0.9836999773979187,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.9549843072891235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.618868350982666},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4090372920036316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3209717869758606},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1889370083808899}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9549843072891235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.618868350982666},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4090372920036316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3209717869758606},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1889370083808899}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc53992.2023.10393968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53992.2023.10393968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2050259428","https://openalex.org/W2061438946","https://openalex.org/W2138313261","https://openalex.org/W2516948806","https://openalex.org/W2751927106","https://openalex.org/W2898877180","https://openalex.org/W2921551248","https://openalex.org/W2979300297","https://openalex.org/W3014314410","https://openalex.org/W3092967904","https://openalex.org/W3127565973","https://openalex.org/W3161757600","https://openalex.org/W3165806999","https://openalex.org/W3171961824","https://openalex.org/W4207049741","https://openalex.org/W4210843820","https://openalex.org/W4296334619","https://openalex.org/W4308313297","https://openalex.org/W4309632771","https://openalex.org/W4309726396"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3032998312","https://openalex.org/W1503094549","https://openalex.org/W4384486036","https://openalex.org/W135177976","https://openalex.org/W2337920774","https://openalex.org/W4318823662","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W3207526114"],"abstract_inverted_index":{"Task":[0],"pricing":[1,72],"is":[2,58,74,126,171,178],"an":[3,123],"important":[4],"step":[5],"for":[6],"crowd-sourcing":[7],"platforms":[8],"to":[9,38,90,107,128],"solve":[10,64,108],"profit-driven":[11],"task":[12,53,71,93],"allocation":[13],"and":[14,52,86,95,114,121,147,155],"maximize":[15],"profits.":[16],"Most":[17],"of":[18,30,41,111,133,167],"the":[19,28,33,39,45,56,65,77,80,92,98,102,109,130,151,164,168,175],"existing":[20],"researches":[21],"only":[22],"carry":[23],"out":[24],"algorithm":[25,73,78,85,154,170],"design":[26],"on":[27,101],"premise":[29],"fully":[31],"determining":[32],"scene":[34,57,176],"information.":[35],"However,":[36],"due":[37],"interference":[40],"many":[42],"factors":[43],"in":[44,55],"real":[46,139],"scene,":[47],"information":[48,177],"such":[49],"as":[50],"workers":[51],"costs":[54],"usually":[59],"not":[60,179],"completely":[61,180],"uncertain.":[62,181],"To":[63],"above":[66,172],"problems,":[67],"a":[68,138],"spatial":[69],"crowdsourcing":[70],"proposed.":[75],"Firstly,":[76],"uses":[79,137],"proposed":[81,169],"dimension-up":[82],"gray":[83],"wolf":[84],"support":[87],"vector":[88],"regression(DU_GWO-SVR)":[89],"predict":[91],"price,":[94],"then":[96],"sets":[97],"price":[99,113,132],"based":[100],"obtained":[103],"price.":[104],"In":[105],"order":[106],"instability":[110],"average":[112,131],"matching":[115,157,165],"number":[116],"caused":[117],"by":[118],"dynamic":[119],"supply":[120],"demand,":[122],"adjustment":[124],"mechanism":[125],"designed":[127],"stabilize":[129],"tasks.":[134],"The":[135,159],"experiment":[136],"data":[140,145],"set-the":[141],"New":[142],"York":[143],"taxi":[144],"set,":[146],"compares":[148],"it":[149],"with":[150],"classic":[152],"greedy":[153],"binary":[156],"algorithm.":[158],"experimental":[160],"results":[161],"show":[162],"that":[163],"rate":[166],"75%":[173],"when":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
