{"id":"https://openalex.org/W3035098013","doi":"https://doi.org/10.1109/tkde.2020.3001025","title":"Modeling Spatial Trajectories With Attribute Representation Learning","display_name":"Modeling Spatial Trajectories With Attribute Representation Learning","publication_year":2020,"publication_date":"2020-06-09","ids":{"openalex":"https://openalex.org/W3035098013","doi":"https://doi.org/10.1109/tkde.2020.3001025","mag":"3035098013"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.3001025","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5100357848","display_name":"Meng Chen","orcid":"https://orcid.org/0000-0001-8645-8626"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Chen","raw_affiliation_strings":["School of Software, Shandong University, Jinan, Shandong, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, Shandong, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060365518","display_name":"Yan Zhao","orcid":"https://orcid.org/0000-0002-0242-3707"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356168","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0003-3989-1552"},"institutions":[{"id":"https://openalex.org/I75381157","display_name":"Wilfrid Laurier University","ror":"https://ror.org/00fn7gb05","country_code":"CA","type":"education","lineage":["https://openalex.org/I75381157"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Department of Physics and Computer Science, Wilfrid Laurier University, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Physics and Computer Science, Wilfrid Laurier University, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I75381157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071285426","display_name":"Xiaohui Yu","orcid":"https://orcid.org/0000-0001-8170-2327"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiaohui Yu","raw_affiliation_strings":["School of Information Technology, York University, Toronto, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, York University, Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101619839","display_name":"Kai Zheng","orcid":"https://orcid.org/0000-0003-1996-1699"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.248,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.999814,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":95},"biblio":{"volume":"34","issue":"4","first_page":"1902","last_page":"1914"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9996,"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":0.9996,"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/T11106","display_name":"Data Management and Algorithms","score":0.9972,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9959,"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/representation","display_name":"Representation","score":0.66194975}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73261595},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.73016906},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.66194975},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5598826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5231577},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.3001025","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320310282","funder_display_name":"Ministry of Natural Resources","award_id":null},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61906107"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61972069"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61836007"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61572289"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61532018"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61832017"},{"funder":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province","award_id":"ZR2019BF010"}],"datasets":[],"versions":[],"referenced_works_count":39,"referenced_works":["https://openalex.org/W2008345648","https://openalex.org/W2009076082","https://openalex.org/W2015629112","https://openalex.org/W2027047167","https://openalex.org/W2035112165","https://openalex.org/W2047240862","https://openalex.org/W2070075246","https://openalex.org/W2094227382","https://openalex.org/W2101180523","https://openalex.org/W2146299864","https://openalex.org/W2329660289","https://openalex.org/W2330318528","https://openalex.org/W2472954632","https://openalex.org/W2513128224","https://openalex.org/W2539781657","https://openalex.org/W2562585624","https://openalex.org/W2585980799","https://openalex.org/W2604411573","https://openalex.org/W2743808405","https://openalex.org/W2744007523","https://openalex.org/W2762529682","https://openalex.org/W2766469181","https://openalex.org/W2767923185","https://openalex.org/W2782298158","https://openalex.org/W2784528539","https://openalex.org/W2786997513","https://openalex.org/W2807264610","https://openalex.org/W2807855639","https://openalex.org/W2808425487","https://openalex.org/W2843323114","https://openalex.org/W2951904259","https://openalex.org/W2962949580","https://openalex.org/W2964057288","https://openalex.org/W2968597970","https://openalex.org/W2987294674","https://openalex.org/W3023496898","https://openalex.org/W3102331315","https://openalex.org/W4237791300","https://openalex.org/W800432607"],"related_works":["https://openalex.org/W3111219495","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2530322880","https://openalex.org/W2390279801","https://openalex.org/W2382290278","https://openalex.org/W2376932109","https://openalex.org/W2358668433","https://openalex.org/W2350741829","https://openalex.org/W2130043461"],"abstract_inverted_index":{"The":[0,107],"widespread":[1],"use":[2],"of":[3,100,109,158,199],"positioning":[4],"devices":[5],"has":[6],"given":[7],"rise":[8],"to":[9,41,94,154,164],"many":[10],"trajectories,":[11,49],"with":[12],"each":[13],"having":[14],"three":[15],"explicit":[16],"attributes:":[17],"<italic":[18,23,29,36],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[19,24,30,37],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">user":[20],"ID</i>":[21,26],",":[22,27],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">location":[25],"and":[28,32,70,104,121,130,137,149,167,175],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">time-stamp</i>":[31],"an":[33,127],"implicit":[34],"attribute:":[35],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">activity":[38],"type</i>":[39],"(akin":[40],"\u201ctopic\u201d":[42],"in":[43,112,126],"text":[44],"mining).":[45],"To":[46],"model":[47],"these":[48,138],"existing":[50],"works":[51],"learn":[52,206],"different":[53],"attribute":[54,124],"representations":[55,99],"by":[56,141],"either":[57],"introducing":[58],"latent":[59,118,201],"activity":[60,119,172,202],"types":[61,120],"based":[62],"on":[63,180],"topic":[64],"models":[65,116],"or":[66],"transforming":[67],"the":[68,97,117,134,156,197],"location":[69],"time":[71],"context":[72],"into":[73],"a":[74,85,143],"low-dimensional":[75],"space":[76],"via":[77],"embedding":[78,177],"techniques.":[79],"In":[80],"this":[81],"paper,":[82],"we":[83],"propose":[84],"holistic":[86],"approach":[87],"named":[88],"Human":[89],"Mobility":[90],"Representation":[91],"Model":[92],"(HMRM)":[93],"simultaneously":[95],"produce":[96],"vector":[98],"all":[101],"four":[102],"(explicit":[103],"implicit)":[105],"attributes.":[106],"merits":[108],"HMRM":[110,163,192],"lie":[111],"that:":[113],"(1)":[114],"it":[115,132],"learns":[122],"trajectory":[123,208],"embeddings":[125,140],"integrated":[128],"manner,":[129],"(2)":[131],"connects":[133],"activity-related":[135],"distributions":[136],"attributes":[139],"adding":[142],"newly":[144],"designed":[145],"collaborative":[146],"learning":[147],"component,":[148],"makes":[150],"them":[151],"mutually":[152],"exchanged":[153],"take":[155],"best":[157],"both":[159,165],"worlds.":[160],"We":[161],"apply":[162],"unsupervised":[166],"supervised":[168],"tasks":[169,174],"including":[170],"two":[171,176,181],"evaluation":[173,178],"tasks,":[179],"real":[182],"check-in":[183],"datasets":[184],"collected":[185],"from":[186],"Foursquare.":[187],"Experimental":[188],"results":[189],"show":[190],"that":[191],"could":[193],"not":[194],"only":[195],"improve":[196],"performance":[198],"capturing":[200],"types,":[203],"but":[204],"also":[205],"better":[207],"embeddings.":[209]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3035098013","counts_by_year":[{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2}],"updated_date":"2025-01-05T07:31:28.361251","created_date":"2020-06-19"}
  <script>parent.window.postMessage('ixistenz.url:https://api.openalex.org/works/doi:10.1109%2FTKDE.2020.3001025', '*'); </script> <div id='browserdiffcontainer' style='position: fixed; right: 10px; top: 10vh; min-width: 60px;  border: 1px solid white; background: rgb(251, 189, 0);; opacity: 0.9; font-family: helvetica, arial, sans serif;  font-size: 12px; z-index: 20001; padding-bottom: 20px;'><div onclick="toggle('browserdiffcontainerlist'); return false;" style='background: rgb(151, 89, 0);; color: white; '><strong>&nbsp; <span class='glyphicon glyphicon-minus'></span> NODES</strong></div><div id='browserdiffcontainerlist' style='padding-left: 10px; padding-right: 5px; max-height: 50vh; overflow: auto; '></div></div>
<script>
function toggle( divname ) {
  var x = document.getElementById( divname );
  if (x.style.display === 'none') {
    x.style.display = 'block';
  } else {
    x.style.display = 'none';
  }
} </script>