{"id":"https://openalex.org/W2904307313","doi":"https://doi.org/10.1109/upinlbs.2018.8559708","title":"Zero-cost and map-free shop-level localization algorithm based on crowdsourcing fingerprints","display_name":"Zero-cost and map-free shop-level localization algorithm based on crowdsourcing fingerprints","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2904307313","doi":"https://doi.org/10.1109/upinlbs.2018.8559708","mag":"2904307313"},"language":"en","primary_location":{"id":"doi:10.1109/upinlbs.2018.8559708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/upinlbs.2018.8559708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS)","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/A5004646219","display_name":"Jie Wei","orcid":"https://orcid.org/0009-0007-2496-4524"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Wei","raw_affiliation_strings":["School of Software Engineering, Beijing University of Post and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Beijing University of Post and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030025128","display_name":"Xiao-Yun Zhou","orcid":"https://orcid.org/0000-0001-7886-8596"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyun Zhou","raw_affiliation_strings":["School of Software Engineering, Beijing University of Post and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Beijing University of Post and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329778","display_name":"Fang Zhao","orcid":"https://orcid.org/0000-0002-4784-5778"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Zhao","raw_affiliation_strings":["School of Software Engineering, Beijing University of Post and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Beijing University of Post and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052635380","display_name":"Haiyong Luo","orcid":"https://orcid.org/0000-0001-6827-4225"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyong Luo","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023621528","display_name":"Langlang Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Langlang Ye","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004646219"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.515,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68666592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9761000275611877,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9761000275611877,"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":0.798157811164856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7915464639663696},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6165902614593506},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5965240001678467},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.520477294921875},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4829503893852234},{"id":"https://openalex.org/keywords/location-based-service","display_name":"Location-based service","score":0.4521610140800476},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4219704866409302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3804035186767578},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35909831523895264},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3268205225467682},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12811121344566345}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.798157811164856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7915464639663696},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6165902614593506},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5965240001678467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.520477294921875},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4829503893852234},{"id":"https://openalex.org/C155292070","wikidata":"https://www.wikidata.org/wiki/Q1198122","display_name":"Location-based service","level":2,"score":0.4521610140800476},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4219704866409302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3804035186767578},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35909831523895264},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3268205225467682},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12811121344566345},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/upinlbs.2018.8559708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/upinlbs.2018.8559708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1599665012","https://openalex.org/W1777903561","https://openalex.org/W1981373725","https://openalex.org/W2005598601","https://openalex.org/W2011502582","https://openalex.org/W2105308437","https://openalex.org/W2107615767","https://openalex.org/W2114254062","https://openalex.org/W2129390833","https://openalex.org/W2129736664","https://openalex.org/W2170102584","https://openalex.org/W2181675000","https://openalex.org/W2278572312","https://openalex.org/W2295598076","https://openalex.org/W2342827161","https://openalex.org/W2519504401","https://openalex.org/W2552911271","https://openalex.org/W2567771986","https://openalex.org/W2603680248","https://openalex.org/W2733111670","https://openalex.org/W2768348081","https://openalex.org/W2769549683","https://openalex.org/W3102476541","https://openalex.org/W6729190034","https://openalex.org/W6745609711"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W2889302474"],"abstract_inverted_index":{"In":[0,58],"recent":[1],"years,":[2],"with":[3,169,174,214,280],"the":[4,17,23,26,36,42,48,84,104,107,118,124,141,175,179,184,203,208,219,253,256,269],"rapid":[5],"development":[6],"of":[7,21,25,44,106,177,211,255],"mobile":[8,87,125],"Internet,":[9],"intelligent":[10],"location-based":[11],"services":[12],"attract":[13],"widespread":[14,56],"attention.":[15],"Using":[16],"situated":[18],"shop":[19,94,238,258],"location":[20,98,209,228],"users,":[22],"accuracy":[24,143,254],"message":[27],"and":[28,51,66,77,100,112,144,199,247,273,276],"advertisement":[29],"delivery":[30],"can":[31,133,224,277],"be":[32],"effectively":[33],"promoted.":[34],"Though":[35],"Wi-Fi":[37,74,110,172,240,242],"based":[38,155],"positioning":[39,46,142,217],"has":[40],"become":[41],"mainstream":[43],"indoor":[45],"technology,":[47],"large":[49],"deployment":[50],"maintenance":[52],"cost":[53],"limits":[54],"its":[55],"use.":[57],"this":[59],"paper,":[60],"we":[61,149,187],"proposed":[62,130,266],"a":[63,97,151,190],"novel":[64],"zero-cost":[65],"map-free":[67],"shop-level":[68],"localization":[69,131,147],"algorithm.":[70],"The":[71,109,160,230],"algorithm":[72,91,132],"collected":[73,116],"fingerprinting":[75],"data":[76,80,114],"opportunistic":[78],"GPS":[79,113],"when":[81,120],"customers":[82],"paid":[83],"bill":[85],"through":[86],"payment":[88,126],"app.":[89],"This":[90],"takes":[92],"each":[93],"identification":[95],"as":[96],"index":[99],"localizes":[101],"user":[102,204,279],"without":[103,135],"need":[105],"map.":[108],"fingerprints":[111],"are":[115],"in":[117],"background":[119],"crowdsourcing":[121],"users":[122],"employ":[123],"APP,":[127],"so":[128],"our":[129,265],"work":[134],"any":[136],"site":[137],"survey.":[138],"To":[139],"improve":[140,252],"speed":[145],"up":[146],"calculation,":[148],"introduce":[150],"hierarchical":[152],"classification":[153,193,222],"method":[154,267],"on":[156],"ensemble":[157,192,221],"learning":[158],"model.":[159],"upper":[161,185],"classifier":[162],"dynamically":[163],"selects":[164],"several":[165],"local":[166],"candidate":[167],"shops":[168],"an":[170],"online":[171],"fingerprinting,":[173],"virtue":[176],"reducing":[178],"computational":[180],"complexity.":[181],"After":[182],"completing":[183],"classification,":[186],"further":[188],"perform":[189],"confidence-weighted":[191,220],"combing":[194],"using":[195],"GBDT,":[196],"random":[197],"forest":[198],"KNN":[200,274],"to":[201,251],"estimate":[202],"location.":[205],"By":[206],"aggregating":[207],"estimations":[210],"individual":[212],"classifiers":[213],"their":[215],"corresponding":[216],"accuracy,":[218],"model":[223],"obtain":[225],"more":[226,281],"accurate":[227],"estimation.":[229],"paper":[231],"also":[232],"introduces":[233],"some":[234],"features,":[235],"i.e.,":[236],"historical":[237],"scanning":[239],"ratio,":[241],"signal":[243],"statistics,":[244],"store":[245],"type":[246],"transaction":[248],"time":[249],"distribution,":[250],"bottom":[257],"classifier.":[259],"Extensive":[260],"experimental":[261],"results":[262],"show":[263],"that":[264],"outperforms":[268],"maximum":[270],"likelihood":[271],"estimation":[272],"algorithm,":[275],"localize":[278],"than":[282],"92%":[283],"accuracy.":[284]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
