{"id":"https://openalex.org/W2099141754","doi":"https://doi.org/10.1145/2370216.2370242","title":"Contextual conditional models for smartphone-based human mobility prediction","display_name":"Contextual conditional models for smartphone-based human mobility prediction","publication_year":2012,"publication_date":"2012-09-05","ids":{"openalex":"https://openalex.org/W2099141754","doi":"https://doi.org/10.1145/2370216.2370242","mag":"2099141754"},"language":"en","primary_location":{"id":"doi:10.1145/2370216.2370242","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2370216.2370242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2012 ACM Conference on Ubiquitous Computing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/192392","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109066755","display_name":"Trinh Minh Tri","orcid":null},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Trinh Minh Tri Do","raw_affiliation_strings":["Idiap Research Institute, Switzerland","Idiap Research Institute, Switzerland#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap Research Institute, Switzerland","institution_ids":["https://openalex.org/I7495430"]},{"raw_affiliation_string":"Idiap Research Institute, Switzerland#TAB#","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012965551","display_name":"Daniel G\u00e1tica-P\u00e9rez","orcid":"https://orcid.org/0000-0001-5488-2182"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]},{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Daniel Gatica-Perez","raw_affiliation_strings":["Idiap and EPFL, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap and EPFL, Switzerland","institution_ids":["https://openalex.org/I5124864","https://openalex.org/I7495430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":114,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"163","last_page":"172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9972000122070312,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9621000289916992,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.8197014331817627},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.8032757043838501},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6637630462646484},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.639238715171814},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5956418514251709},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5663973093032837},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5652790665626526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5152016282081604},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.4932190775871277},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4559536278247833},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.41174620389938354},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.361117422580719},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07557764649391174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8197014331817627},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.8032757043838501},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6637630462646484},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.639238715171814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5956418514251709},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5663973093032837},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5652790665626526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5152016282081604},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.4932190775871277},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4559536278247833},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.41174620389938354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.361117422580719},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07557764649391174},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/2370216.2370242","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2370216.2370242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2012 ACM Conference on Ubiquitous Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.650.5001","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.650.5001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://publications.idiap.ch/downloads/papers/2012/Do_UBICOMP_2012.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.683.3875","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.683.3875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://profs.info.uaic.ro/%7Edcristea/cursuri/IA/2014-2015/Gatiga_UBICOMP_2012.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.705.4857","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.705.4857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://csce.uark.edu/%7Etingxiny/courses/5013sp14/reading/Do2012CCM.pdf","raw_type":"text"},{"id":"pmh:oai:infoscience.tind.io:192392","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/192392","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference proceedings"}],"best_oa_location":{"id":"pmh:oai:infoscience.tind.io:192392","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/192392","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference proceedings"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W66477288","https://openalex.org/W1584701184","https://openalex.org/W1643892426","https://openalex.org/W1809457846","https://openalex.org/W1982300822","https://openalex.org/W1987228002","https://openalex.org/W2002199299","https://openalex.org/W2002658919","https://openalex.org/W2022317205","https://openalex.org/W2035015452","https://openalex.org/W2041454412","https://openalex.org/W2062231365","https://openalex.org/W2073021764","https://openalex.org/W2105029620","https://openalex.org/W2110953678","https://openalex.org/W2134240702","https://openalex.org/W2137688035","https://openalex.org/W2138246356","https://openalex.org/W2143554828","https://openalex.org/W2147693219","https://openalex.org/W2148124601","https://openalex.org/W2151056056","https://openalex.org/W2154818210","https://openalex.org/W2171267091","https://openalex.org/W2531891978","https://openalex.org/W4302033506"],"related_works":["https://openalex.org/W1496222301","https://openalex.org/W3207760230","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297","https://openalex.org/W4280645561"],"abstract_inverted_index":{"Human":[0],"behavior":[1],"is":[2,97],"often":[3],"complex":[4],"and":[5,38,73,105],"context-dependent.":[6],"This":[7],"paper":[8],"presents":[9],"a":[10,44,67,79,101],"general":[11],"technique":[12],"to":[13,90],"exploit":[14],"this":[15,85],"\"multidimensional\"":[16],"contextual":[17,71],"variable":[18],"for":[19],"human":[20,55,134],"mobility":[21,33,56,62,135],"prediction.":[22],"We":[23,82],"use":[24],"an":[25],"ensemble":[26],"method,":[27],"in":[28,51,111,132,136],"which":[29],"we":[30,125],"extract":[31],"different":[32],"patterns":[34,63],"with":[35],"multiple":[36],"models":[37,42],"then":[39],"combine":[40],"these":[41,74],"under":[43],"probabilistic":[45],"framework.":[46],"The":[47],"key":[48],"idea":[49,86],"lies":[50],"the":[52,70,98,112,127],"assumption":[53],"that":[54,64],"can":[57,75,87],"be":[58,76,88],"explained":[59],"by":[60,78],"several":[61],"depend":[65],"on":[66],"sub-set":[68],"of":[69,129],"variables":[72],"learned":[77],"simple":[80],"model.":[81],"showed":[83],"how":[84,106],"applied":[89],"two":[91],"specific":[92],"online":[93],"prediction":[94],"tasks:":[95],"what":[96],"next":[99],"place":[100],"user":[102],"will":[103,108],"visit?":[104],"long":[107],"he":[109],"stay":[110],"current":[113],"place?.":[114],"Using":[115],"smartphone":[116],"data":[117],"collected":[118],"from":[119],"153":[120],"users":[121],"during":[122],"17":[123],"months,":[124],"show":[126],"potential":[128],"our":[130],"method":[131],"predicting":[133],"real":[137],"life.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
