{"id":"https://openalex.org/W4213235855","doi":"https://doi.org/10.1145/3488560.3498387","title":"Translating Human Mobility Forecasting through Natural Language Generation","display_name":"Translating Human Mobility Forecasting through Natural Language Generation","publication_year":2022,"publication_date":"2022-02-11","ids":{"openalex":"https://openalex.org/W4213235855","doi":"https://doi.org/10.1145/3488560.3498387"},"language":"en","primary_location":{"id":"doi:10.1145/3488560.3498387","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3498387","pdf_url":null,"source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","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/A5000564739","display_name":"Hao Xue","orcid":"https://orcid.org/0000-0003-1700-9215"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Hao Xue","raw_affiliation_strings":["RMIT University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090893421","display_name":"Flora D. Salim","orcid":"https://orcid.org/0000-0002-1237-1664"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Flora D. Salim","raw_affiliation_strings":["RMIT University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039040673","display_name":"Yongli Ren","orcid":"https://orcid.org/0000-0002-3137-9653"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yongli Ren","raw_affiliation_strings":["RMIT University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037737168","display_name":"Charles L. A. Clarke","orcid":"https://orcid.org/0000-0001-8178-9194"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Charles L. A. Clarke","raw_affiliation_strings":["University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000564739"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":6.0678,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.97831424,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1224","last_page":"1233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.9991999864578247,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9821000099182129,"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/computer-science","display_name":"Computer science","score":0.8136948347091675},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6607593894004822},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6174610257148743},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.567616879940033},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.5294285416603088},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5144538879394531},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5042599439620972},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.41611942648887634},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33603161573410034},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.08409294486045837}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8136948347091675},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6607593894004822},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6174610257148743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.567616879940033},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.5294285416603088},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5144538879394531},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5042599439620972},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.41611942648887634},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33603161573410034},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.08409294486045837},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3488560.3498387","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3498387","pdf_url":null,"source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G4184694895","display_name":null,"funder_award_id":"DP190101485","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1973943669","https://openalex.org/W1982978808","https://openalex.org/W2017921654","https://openalex.org/W2044672016","https://openalex.org/W2539781657","https://openalex.org/W2586563160","https://openalex.org/W2747329762","https://openalex.org/W2788114581","https://openalex.org/W2910892140","https://openalex.org/W2954731415","https://openalex.org/W2997590591","https://openalex.org/W2997646554","https://openalex.org/W2998640320","https://openalex.org/W2999265208","https://openalex.org/W3004285114","https://openalex.org/W3012735076","https://openalex.org/W3034912136","https://openalex.org/W3034999214","https://openalex.org/W3035524453","https://openalex.org/W3038256886","https://openalex.org/W3115560852","https://openalex.org/W3128267727","https://openalex.org/W3164797320","https://openalex.org/W3177318507","https://openalex.org/W6603599562"],"related_works":["https://openalex.org/W382594479","https://openalex.org/W2152921782","https://openalex.org/W2470045054","https://openalex.org/W2575772232","https://openalex.org/W2140902089","https://openalex.org/W2030298461","https://openalex.org/W3014316498","https://openalex.org/W1510553545","https://openalex.org/W3020827637","https://openalex.org/W199086061"],"abstract_inverted_index":{"Existing":[0],"human":[1,98,132,227],"mobility":[2,66,99,121,133,142,148,188],"forecasting":[3,77,86,100,134,226],"models":[4],"follow":[5],"the":[6,10,46,60,72,97,119,131,140,152,191,203,214],"standard":[7],"design":[8],"of":[9,18,50,130,174],"time-series":[11],"prediction":[12,67,153],"model":[13],"which":[14,151],"takes":[15],"a":[16,25,29,35,55,79,84,88,103,108,146,161,195,221],"series":[17],"numerical":[19,26,120],"values":[20],"as":[21,28,34,45,78,102,123],"input":[22,141],"to":[23,71,95,117,138,185,225],"generate":[24],"value":[27],"prediction.":[30],"Although":[31],"treating":[32],"this":[33,159],"regression":[36],"problem":[37,81,101],"seems":[38],"straightforward,":[39],"incorporating":[40],"various":[41],"contextual":[42],"information":[43,49],"such":[44],"semantic":[47],"category":[48],"each":[51],"Place-of-Interest":[52],"(POI)":[53],"is":[54,114,137,169,217],"necessary":[56],"step,":[57],"and":[58,82,181,201,219],"often":[59],"bottleneck,":[61],"in":[62,107],"designing":[63],"an":[64],"effective":[65,218],"model.":[68],"As":[69],"opposed":[70],"typical":[73],"approach,":[74],"we":[75,193],"treat":[76],"translation":[80,105,135],"propose":[83],"novel":[85],"through":[87],"language":[89,104,125,179],"generation":[90,180],"pipeline.":[91],"The":[92,127],"paper":[93],"aims":[94],"address":[96],"task":[106,136],"sequence-to-sequence":[109],"manner.":[110],"A":[111],"mobility-to-language":[112],"template":[113],"first":[115],"introduced":[116],"describe":[118],"data":[122],"natural":[124],"sentences.":[126],"core":[128],"intuition":[129],"convert":[139],"description":[143,149],"sentences":[144],"into":[145],"future":[147],"from":[150],"target":[154],"can":[155],"be":[156],"obtained.":[157],"Under":[158],"pipeline,":[160],"two-branch":[162],"network,":[163],"SHIFT":[164,216],"(Translating":[165],"Human":[166],"Mobility":[167],"Forecasting),":[168],"designed.":[170],"Specifically,":[171],"it":[172],"consists":[173],"one":[175,182],"main":[176],"branch":[177,184],"for":[178,198],"auxiliary":[183],"directly":[186],"learn":[187],"patterns.":[189],"During":[190],"training,":[192],"develop":[194],"momentum":[196],"mode":[197],"better":[199],"connecting":[200],"training":[202],"two":[204],"branches.":[205],"Extensive":[206],"experiments":[207],"on":[208],"three":[209],"real-world":[210],"datasets":[211],"demonstrate":[212],"that":[213],"proposed":[215],"presents":[220],"new":[222],"revolutionary":[223],"approach":[224],"mobility.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}