{"id":"https://openalex.org/W2788029981","doi":"https://doi.org/10.1609/aaai.v32i1.11777","title":"A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling","display_name":"A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling","publication_year":2018,"publication_date":"2018-04-29","ids":{"openalex":"https://openalex.org/W2788029981","doi":"https://doi.org/10.1609/aaai.v32i1.11777","mag":"2788029981"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v32i1.11777","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v32i1.11777","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/11777/11636","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/11777/11636","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009790139","display_name":"Wanzheng Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wanzheng Zhu","raw_affiliation_strings":["University of Illinois at Urbana\u2013Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana\u2013Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460272","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0003-3009-598X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["University of Illinois at Urbana\u2013Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana\u2013Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005026261","display_name":"Shuochao Yao","orcid":"https://orcid.org/0000-0002-4070-6345"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuochao Yao","raw_affiliation_strings":["University of Illinois at Urbana\u2013Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana\u2013Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039926439","display_name":"Xiaobin Gao","orcid":"https://orcid.org/0000-0002-3204-1937"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaobin Gao","raw_affiliation_strings":["University of Illinois at Urbana\u2013Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana\u2013Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019539533","display_name":"Jiawei Han","orcid":"https://orcid.org/0000-0002-3629-2696"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Han","raw_affiliation_strings":["University of Illinois at Urbana\u2013Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana\u2013Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5009790139"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":8.5353,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.98776758,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"32","issue":"1","first_page":null,"last_page":null},"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":0.9994999766349792,"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":0.9994999766349792,"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/T10866","display_name":"Nutritional Studies and Diet","score":0.965399980545044,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9452000260353088,"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":0.6582521200180054},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.5798168182373047},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5377820134162903},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5325433611869812},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4507071375846863},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4497506320476532},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4016188383102417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2810850143432617},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.12729132175445557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6582521200180054},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.5798168182373047},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5377820134162903},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5325433611869812},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4507071375846863},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4497506320476532},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4016188383102417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2810850143432617},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.12729132175445557},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v32i1.11777","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v32i1.11777","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/11777/11636","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v32i1.11777","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v32i1.11777","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/11777/11636","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G1023243736","display_name":null,"funder_award_id":"Foundation IIS-1017362, IIS-1320617, and IIS-1354329, HDTRA1-10-1-0120","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1346049954","display_name":null,"funder_award_id":"1U54GM114838","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G1898530342","display_name":"III: Small: Collaborative Research: Conflicts to Harmony: Integrating Massive Data by Trustworthiness Estimation and Truth Discovery","funder_award_id":"1320617","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2294816706","display_name":null,"funder_award_id":"HDTRA1-10-1-0120","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2401976165","display_name":null,"funder_award_id":"GM114838","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G3641859516","display_name":null,"funder_award_id":"IIS-1354329","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4676255631","display_name":null,"funder_award_id":"1354329","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G702127483","display_name":null,"funder_award_id":"IIS-1320617","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7212248142","display_name":null,"funder_award_id":"U54GM114838","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G7561134949","display_name":null,"funder_award_id":"W911NF-09-2-0053","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8243249352","display_name":null,"funder_award_id":"IIS-1017362, IIS-1320617, and IIS-1354329","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2788029981.pdf","grobid_xml":"https://content.openalex.org/works/W2788029981.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W162256","https://openalex.org/W1555156243","https://openalex.org/W1614298861","https://openalex.org/W1934562893","https://openalex.org/W1972243012","https://openalex.org/W2012580531","https://openalex.org/W2042851446","https://openalex.org/W2044023374","https://openalex.org/W2056284729","https://openalex.org/W2077451659","https://openalex.org/W2086699924","https://openalex.org/W2131744502","https://openalex.org/W2145001205","https://openalex.org/W2153579005","https://openalex.org/W2216025085","https://openalex.org/W2294749418","https://openalex.org/W2471258147","https://openalex.org/W2539781657","https://openalex.org/W2964117810","https://openalex.org/W3104734712","https://openalex.org/W4232197496","https://openalex.org/W4243658171","https://openalex.org/W4294170691","https://openalex.org/W4300223101","https://openalex.org/W6600006904","https://openalex.org/W6653617316","https://openalex.org/W6661657107","https://openalex.org/W6670047461","https://openalex.org/W6674473936","https://openalex.org/W6786189160","https://openalex.org/W7048738093","https://openalex.org/W7075642946"],"related_works":["https://openalex.org/W2167155152","https://openalex.org/W2093104230","https://openalex.org/W4390874210","https://openalex.org/W4384918963","https://openalex.org/W2128027845","https://openalex.org/W4386184937","https://openalex.org/W1493875009","https://openalex.org/W4388844349","https://openalex.org/W2105231718","https://openalex.org/W2153939756"],"abstract_inverted_index":{"We":[0,59,112,197,244],"study":[1],"the":[2,27,48,74,80,90,100,108,119,122,127,130,139,154,167,182,201,206,228,237,265],"problem":[3],"of":[4,83,99,105,121,129,153,170,192,194],"modeling":[5,110],"human":[6,36,70],"mobility":[7,71,276,280],"from":[8,55],"semantic":[9],"trace":[10,18,86],"data,":[11,41],"wherein":[12],"each":[13,97],"GPS":[14],"record":[15],"in":[16,34,173],"a":[17,22,62,84,135,174],"is":[19,107,185,210,232],"associated":[20],"with":[21,138,145,214,240],"text":[23,49,56,95,109,123,132,171],"message":[24],"that":[25,271],"describes":[26],"user's":[28],"activity.":[29],"Existing":[30],"methods":[31],"fall":[32],"short":[33],"unveiling":[35],"movement":[37],"regularities":[38],"for":[39,68,181,200,227,282],"such":[40],"because":[42],"they":[43],"either":[44],"do":[45],"not":[46,157],"model":[47,67,126],"data":[50,259,269],"at":[51,96],"all":[52],"or":[53],"suffer":[54],"sparsity":[57],"severely.":[58],"propose":[60],"SHMM,":[61],"multi-modal":[63],"spherical":[64],"hidden":[65,75],"Markov":[66,76],"semantics-rich":[69,275],"modeling.":[72],"Under":[73],"assumption,":[77],"SHMM":[78,106,272],"models":[79,281],"generation":[81,128],"process":[82],"given":[85],"by":[87],"jointly":[88],"considering":[89],"observed":[91],"location,":[92],"time,":[93,203],"and":[94,125,217,252,286],"step":[98],"trace.":[101],"The":[102,178,255],"distinguishing":[103],"characteristic":[104],"part.":[111],"use":[113],"fixed-size":[114],"vector":[115],"representations":[116],"to":[117,212,224,234,236],"encode":[118],"semantics":[120],"messages,":[124],"l2-normalized":[131],"embeddings":[133,172],"on":[134,249,257,267],"unit":[136],"sphere":[137],"von":[140],"Mises-Fisher":[141],"(vMF)":[142],"distribution.":[143],"Compared":[144],"other":[146],"alternatives":[147],"like":[148],"multi-variate":[149],"Gaussian,":[150],"our":[151,261],"choice":[152],"vMF":[155,183,215],"distribution":[156,184],"only":[158],"incurs":[159,287],"much":[160],"fewer":[161],"parameters,":[162],"but":[163],"also":[164],"better":[165],"leverages":[166],"discriminative":[168],"power":[169],"directional":[175],"metric":[176],"space.":[177],"parameter":[179],"inference":[180],"non-trivial":[186],"since":[187],"it":[188],"involves":[189],"functional":[190],"inversion":[191],"ratios":[193],"Bessel":[195],"functions.":[196],"theoretically":[198],"prove,":[199],"first":[202],"that:":[204],"1)":[205],"classical":[207],"Expectation-Maximization":[208],"algorithm":[209],"able":[211],"work":[213],"distributions;":[216],"2)":[218],"while":[219,264],"closed-form":[220],"solutions":[221],"are":[222],"hard":[223],"be":[225],"obtained":[226],"M-step,":[229],"Newton's":[230],"method":[231],"guaranteed":[233],"converge":[235],"optimal":[238],"solution":[239],"quadratic":[241],"convergence":[242],"rate.":[243],"have":[245],"performed":[246],"extensive":[247],"experiments":[248],"both":[250],"synthetic":[251,258],"real-life":[253,268],"data.":[254],"results":[256,266],"verify":[260],"theoretical":[262],"analysis;":[263],"demonstrate":[270],"learns":[273],"meaningful":[274],"models,":[277],"outperforms":[278],"state-of-the-art":[279],"next":[283],"location":[284],"prediction,":[285],"lower":[288],"training":[289],"cost.":[290]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
