{"id":"https://openalex.org/W2998640320","doi":"https://doi.org/10.1145/3336191.3371837","title":"Context-aware Deep Model for Joint Mobility and Time Prediction","display_name":"Context-aware Deep Model for Joint Mobility and Time Prediction","publication_year":2020,"publication_date":"2020-01-20","ids":{"openalex":"https://openalex.org/W2998640320","doi":"https://doi.org/10.1145/3336191.3371837","mag":"2998640320"},"language":"en","primary_location":{"id":"doi:10.1145/3336191.3371837","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336191.3371837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dr.ntu.edu.sg/bitstream/10356/148163/2/wsdm697-chenAemb.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082406151","display_name":"Yile Chen","orcid":"https://orcid.org/0000-0002-8424-8059"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yile Chen","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044528555","display_name":"Cheng Long","orcid":"https://orcid.org/0000-0001-6806-8405"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Cheng Long","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045198704","display_name":"Gao Cong","orcid":"https://orcid.org/0000-0002-4430-6373"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Gao Cong","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100734069","display_name":"Chenliang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenliang Li","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082406151"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":11.7961,"has_fulltext":true,"cited_by_count":72,"citation_normalized_percentile":{"value":0.98649766,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"106","last_page":"114"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9900000095367432,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9855999946594238,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8558871746063232},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6785703301429749},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6777837872505188},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5885194540023804},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.5870736241340637},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5729010701179504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5637692213058472},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4691537618637085},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4548817276954651},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4470158815383911},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43392080068588257},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.43078354001045227},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37066489458084106},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.33316946029663086},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.20146042108535767},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10137411952018738},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08607202768325806}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8558871746063232},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6785703301429749},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6777837872505188},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5885194540023804},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.5870736241340637},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5729010701179504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5637692213058472},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4691537618637085},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4548817276954651},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4470158815383911},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43392080068588257},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.43078354001045227},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37066489458084106},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33316946029663086},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.20146042108535767},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10137411952018738},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08607202768325806},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3336191.3371837","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336191.3371837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/148163","is_oa":true,"landing_page_url":"https://hdl.handle.net/10356/148163","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/148163/2/wsdm697-chenAemb.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:dr.ntu.edu.sg:10356/148163","is_oa":true,"landing_page_url":"https://hdl.handle.net/10356/148163","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/148163/2/wsdm697-chenAemb.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"},{"id":"https://openalex.org/F4320327962","display_name":"Singapore Telecommunications Limited","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2998640320.pdf","grobid_xml":"https://content.openalex.org/works/W2998640320.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1546409232","https://openalex.org/W1902237438","https://openalex.org/W1972243012","https://openalex.org/W1973749534","https://openalex.org/W1976094288","https://openalex.org/W1984189333","https://openalex.org/W2028944227","https://openalex.org/W2062231365","https://openalex.org/W2069090820","https://openalex.org/W2073013176","https://openalex.org/W2110953678","https://openalex.org/W2118166339","https://openalex.org/W2157331557","https://openalex.org/W2186751573","https://openalex.org/W2205235818","https://openalex.org/W2394103513","https://openalex.org/W2509830164","https://openalex.org/W2519887557","https://openalex.org/W2537003471","https://openalex.org/W2539781657","https://openalex.org/W2585077751","https://openalex.org/W2604411573","https://openalex.org/W2605191235","https://openalex.org/W2728796024","https://openalex.org/W2767923185","https://openalex.org/W2786995169","https://openalex.org/W2788114581","https://openalex.org/W2807751666","https://openalex.org/W2808377988","https://openalex.org/W2913696439","https://openalex.org/W2950468916","https://openalex.org/W2963022764","https://openalex.org/W2963148415","https://openalex.org/W2963668159","https://openalex.org/W2963858333","https://openalex.org/W2963871484","https://openalex.org/W3100921056"],"related_works":["https://openalex.org/W2053241453","https://openalex.org/W2017590198","https://openalex.org/W2275433313","https://openalex.org/W2978974359","https://openalex.org/W2087532526","https://openalex.org/W2728430307","https://openalex.org/W1805578373","https://openalex.org/W2036556872","https://openalex.org/W2294826400","https://openalex.org/W2089702591"],"abstract_inverted_index":{"Mobility":[0],"prediction,":[1],"which":[2,94,142],"is":[3,26,95],"to":[4,29,108,123],"predict":[5],"where":[6,33],"a":[7,37,57,84,100,114,119,134],"user":[8,38],"will":[9,39],"arrive":[10,40],"based":[11,90,111,136],"on":[12,155],"the":[13,128,145,163],"user's":[14,101,129],"historical":[15],"mobility":[16,67,102,146,165],"records,":[17],"has":[18],"attracted":[19],"much":[20],"attention.":[21],"We":[22],"argue":[23],"that":[24,160],"it":[25],"more":[27,96],"useful":[28],"know":[30,70,76],"not":[31],"only":[32],"but":[34],"also":[35],"when":[36],"next":[41],"in":[42],"many":[43],"scenarios":[44],"such":[45],"as":[46],"targeted":[47],"advertising":[48],"and":[49,72,104,118,127,132,147,167],"taxi":[50],"service.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55],"propose":[56],"novel":[58],"context-aware":[59],"deep":[60],"model":[61,80],"called":[62],"DeepJMT":[63,79,161],"for":[64],"jointly":[65],"performing":[66],"prediction":[68,74,166,169],"(to":[69,75],"where)":[71],"time":[73,168],"when).":[77],"The":[78],"consists":[81],"of":[82,98],"(1)":[83],"hierarchical":[85],"recurrent":[86],"neural":[87],"network":[88],"(RNN)":[89],"sequential":[91],"dependency":[92],"encoder,":[93],"capable":[97],"capturing":[99],"regularities":[103],"temporal":[105,139,148],"patterns":[106],"compared":[107],"vanilla":[109],"RNN":[110],"models;":[112],"(2)":[113],"spatial":[115],"context":[116,121,140],"extractor":[117,122,141],"periodicity":[120],"extract":[124,144],"location":[125],"semantics":[126],"periodicity,":[130],"respectively;":[131],"(3)":[133],"co-attention":[135],"social":[137,151],"&":[138],"could":[143],"evidence":[149],"from":[150],"relationships.":[152],"Experiments":[153],"conducted":[154],"three":[156],"real-world":[157],"datasets":[158],"show":[159],"outperforms":[162],"state-of-the-art":[164],"methods.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":4}],"updated_date":"2026-03-01T08:55:55.761014","created_date":"2025-10-10T00:00:00"}
