{"id":"https://openalex.org/W2934566205","doi":"https://doi.org/10.1145/3302505.3310088","title":"User-centric context inference for mobile crowdsensing","display_name":"User-centric context inference for mobile crowdsensing","publication_year":2019,"publication_date":"2019-03-25","ids":{"openalex":"https://openalex.org/W2934566205","doi":"https://doi.org/10.1145/3302505.3310088","mag":"2934566205"},"language":"en","primary_location":{"id":"doi:10.1145/3302505.3310088","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3302505.3310088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Internet of Things Design and Implementation","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/A5054820953","display_name":"Yifan Du","orcid":"https://orcid.org/0000-0002-6823-2719"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yifan Du","raw_affiliation_strings":["Inria Paris, France","Middleware on the Move"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria Paris, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Middleware on the Move","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074261078","display_name":"Val\u00e9rie Issarny","orcid":"https://orcid.org/0000-0003-2404-0907"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Val\u00e9rie Issarny","raw_affiliation_strings":["Inria Paris, France","Middleware on the Move"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria Paris, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Middleware on the Move","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021298705","display_name":"Fran\u00e7oise Sailhan","orcid":"https://orcid.org/0000-0003-4935-5323"},"institutions":[{"id":"https://openalex.org/I124158823","display_name":"Conservatoire National des Arts et M\u00e9tiers","ror":"https://ror.org/0175hh227","country_code":"FR","type":"education","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fran\u00e7oise Sailhan","raw_affiliation_strings":["CNAM Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNAM Paris, France","institution_ids":["https://openalex.org/I124158823"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8638,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67337371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"261","last_page":"266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998000264167786,"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":0.9998000264167786,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9940000176429749,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9932000041007996,"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/inference","display_name":"Inference","score":0.8418118357658386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8081845045089722},{"id":"https://openalex.org/keywords/crowdsensing","display_name":"Crowdsensing","score":0.7718527317047119},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7348329424858093},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6196551322937012},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.49872446060180664},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.4728850722312927},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41025111079216003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38778790831565857},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3778506815433502},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35776758193969727},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.2791440486907959},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21752509474754333},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07648172974586487}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8418118357658386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8081845045089722},{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.7718527317047119},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7348329424858093},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6196551322937012},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.49872446060180664},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.4728850722312927},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41025111079216003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38778790831565857},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3778506815433502},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35776758193969727},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2791440486907959},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21752509474754333},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07648172974586487},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3302505.3310088","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3302505.3310088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Internet of Things Design and Implementation","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02082034v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-02082034","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IoTDI 2019: ACM/IEEE International Conference on Internet of Things Design and Implementation, Apr 2019, Montreal, Canada. pp.261-266, ⟨10.1145/3302505.3310088⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W990742350","https://openalex.org/W1570448133","https://openalex.org/W1981920455","https://openalex.org/W1994500462","https://openalex.org/W2037931416","https://openalex.org/W2046357874","https://openalex.org/W2070987348","https://openalex.org/W2072075309","https://openalex.org/W2086240082","https://openalex.org/W2114063559","https://openalex.org/W2327328100","https://openalex.org/W2402981591","https://openalex.org/W2518887446","https://openalex.org/W2522768086","https://openalex.org/W2550043747","https://openalex.org/W2744655549","https://openalex.org/W2761903093","https://openalex.org/W2763801300","https://openalex.org/W2769089983","https://openalex.org/W2797346475","https://openalex.org/W3023430131"],"related_works":["https://openalex.org/W2563347706","https://openalex.org/W2608033733","https://openalex.org/W4287604253","https://openalex.org/W1894261276","https://openalex.org/W2295662171","https://openalex.org/W2168877220","https://openalex.org/W4381785531","https://openalex.org/W4360776667","https://openalex.org/W3098657080","https://openalex.org/W4232477044"],"abstract_inverted_index":{"Mobile":[0],"crowdsensing":[1],"is":[2,82],"a":[3,135],"powerful":[4],"mechanism":[5],"to":[6,47,93,103,112],"aggregate":[7],"hyper-local":[8],"knowledge":[9],"about":[10,66],"the":[11,24,31,34,39,42,48,60,67,75,80,94,98,105,108,113,116,122,146,150,153],"environment.":[12],"Indeed,":[13],"users":[14],"may":[15],"contribute":[16],"valuable":[17],"observations":[18,65],"across":[19],"time":[20],"and":[21,85,127],"space":[22],"using":[23],"sensors":[25],"embedded":[26],"in":[27,74],"their":[28],"smartphones.":[29],"However,":[30],"relevance":[32],"of":[33,41,97,107,115,124,152],"provided":[35],"measurements":[36],"depends":[37],"on":[38,58],"adequacy":[40],"sensing":[43,61,99,117],"context":[44,62,100,154],"with":[45],"respect":[46],"phenomena":[49],"that":[50,140],"are":[51],"analyzed.":[52],"This":[53],"paper":[54],"concentrates":[55],"more":[56],"specifically":[57,133],"assessing":[59],"when":[63],"gathering":[64],"physical":[68],"environment":[69],"beyond":[70],"its":[71],"geographical":[72],"position":[73],"Euclidean":[76],"space,":[77],"i.e.,":[78],"whether":[79],"phone":[81],"in-/out-pocket,":[83],"in-/out-door":[84],"on-/under-ground.":[86],"We":[87],"introduce":[88],"an":[89],"online":[90],"learning":[91],"approach":[92,132],"local":[95],"inference":[96,139,155],"so":[101],"as":[102,119,121],"overcome":[104],"disparity":[106],"classification":[109],"performance":[110],"due":[111],"heterogeneity":[114],"devices":[118],"well":[120],"diversity":[123],"user":[125],"behavior":[126],"novel":[128],"usage":[129],"scenarios.":[130],"Our":[131],"features":[134],"hierarchical":[136],"algorithm":[137],"for":[138],"requires":[141],"few":[142],"opportunistic":[143],"feedbacks":[144],"from":[145],"user,":[147],"while":[148],"increasing":[149],"accuracy":[151],"per":[156],"user.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}