{"id":"https://openalex.org/W3169134134","doi":"https://doi.org/10.1145/3447548.3467238","title":"MTrajRec","display_name":"MTrajRec","publication_year":2021,"publication_date":"2021-08-13","ids":{"openalex":"https://openalex.org/W3169134134","doi":"https://doi.org/10.1145/3447548.3467238","mag":"3169134134"},"language":"en","primary_location":{"id":"doi:10.1145/3447548.3467238","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103090461","display_name":"Huimin Ren","orcid":"https://orcid.org/0000-0003-3822-3288"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huimin Ren","raw_affiliation_strings":["Worcester Polytechnic Institute &amp; JD Intelligent Cities Research, Worcester, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute &amp; JD Intelligent Cities Research, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006117974","display_name":"Sijie Ruan","orcid":"https://orcid.org/0000-0002-4520-7174"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sijie Ruan","raw_affiliation_strings":["Xidian University &amp; JD Intelligent Cities Research, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University &amp; JD Intelligent Cities Research, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100630059","display_name":"Yanhua Li","orcid":"https://orcid.org/0000-0001-8972-503X"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanhua Li","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060363706","display_name":"Jie Bao","orcid":"https://orcid.org/0000-0002-5642-1993"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Bao","raw_affiliation_strings":["JD Intelligent Cities Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD Intelligent Cities Research, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013846634","display_name":"Chuishi Meng","orcid":"https://orcid.org/0000-0002-1995-5291"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuishi Meng","raw_affiliation_strings":["JD Intelligent Cities Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD Intelligent Cities Research, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109067573","display_name":"Ruiyuan Li","orcid":"https://orcid.org/0000-0002-6481-0657"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiyuan Li","raw_affiliation_strings":["Chongqing University &amp; JD Intelligent Cities Research, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University &amp; JD Intelligent Cities Research, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100681023","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0002-5224-4344"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Zheng","raw_affiliation_strings":["JD Intelligent Cities Research &amp;38: JD Intelligent Cities Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD Intelligent Cities Research &amp;38: JD Intelligent Cities Research, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.9711,"has_fulltext":false,"cited_by_count":90,"citation_normalized_percentile":{"value":0.99061292,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1410","last_page":"1419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9990000128746033,"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":0.9969000220298767,"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":0.9962999820709229,"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/trajectory","display_name":"Trajectory","score":0.8340708017349243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8214768171310425},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5881519317626953},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5573693513870239},{"id":"https://openalex.org/keywords/time-constraint","display_name":"Time constraint","score":0.5468823313713074},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5425087213516235},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5238794684410095},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4853416979312897},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4759131073951721},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4752359390258789},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.4569980502128601},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4249141216278076},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41132423281669617},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39440733194351196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3802720308303833},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2819785475730896}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8340708017349243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8214768171310425},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5881519317626953},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5573693513870239},{"id":"https://openalex.org/C2775907273","wikidata":"https://www.wikidata.org/wiki/Q7805281","display_name":"Time constraint","level":2,"score":0.5468823313713074},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5425087213516235},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5238794684410095},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4853416979312897},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4759131073951721},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4752359390258789},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.4569980502128601},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4249141216278076},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41132423281669617},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39440733194351196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3802720308303833},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2819785475730896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447548.3467238","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8299999833106995}],"awards":[{"id":"https://openalex.org/G2247631378","display_name":null,"funder_award_id":"2021871","funder_id":"https://openalex.org/F4320337368","funder_display_name":"Division of Graduate Education"},{"id":"https://openalex.org/G7735522577","display_name":null,"funder_award_id":"1952085","funder_id":"https://openalex.org/F4320337388","funder_display_name":"Division of Computer and Network Systems"},{"id":"https://openalex.org/G8063136077","display_name":null,"funder_award_id":"1942680","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"},{"id":"https://openalex.org/G8761899520","display_name":null,"funder_award_id":"1831140","funder_id":"https://openalex.org/F4320337391","funder_display_name":"Division of Civil, Mechanical and Manufacturing Innovation"}],"funders":[{"id":"https://openalex.org/F4320337368","display_name":"Division of Graduate Education","ror":"https://ror.org/00whkrf32"},{"id":"https://openalex.org/F4320337388","display_name":"Division of Computer and Network Systems","ror":"https://ror.org/02rdzmk74"},{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1893365827","https://openalex.org/W1979081979","https://openalex.org/W2008559906","https://openalex.org/W2072787293","https://openalex.org/W2073992193","https://openalex.org/W2094283130","https://openalex.org/W2126194848","https://openalex.org/W2130942839","https://openalex.org/W2135822894","https://openalex.org/W2153579005","https://openalex.org/W2157331557","https://openalex.org/W2166771065","https://openalex.org/W2479935243","https://openalex.org/W2553756201","https://openalex.org/W2614730315","https://openalex.org/W2788114581","https://openalex.org/W2788997482","https://openalex.org/W2795016801","https://openalex.org/W2808535700","https://openalex.org/W2809366716","https://openalex.org/W2904596241","https://openalex.org/W2913340405","https://openalex.org/W2963266340","https://openalex.org/W2963309363","https://openalex.org/W2963403868","https://openalex.org/W2964308564","https://openalex.org/W2973201950","https://openalex.org/W3029191757","https://openalex.org/W3080292238","https://openalex.org/W3080344546","https://openalex.org/W3080657898","https://openalex.org/W3081469395","https://openalex.org/W3119899372","https://openalex.org/W4285827226","https://openalex.org/W6679436768"],"related_works":["https://openalex.org/W2064309607","https://openalex.org/W3200670168","https://openalex.org/W2090344631","https://openalex.org/W3125309996","https://openalex.org/W4313469555","https://openalex.org/W2727768280","https://openalex.org/W2388258497","https://openalex.org/W4399396045","https://openalex.org/W2963261759","https://openalex.org/W2953077104"],"abstract_inverted_index":{"With":[0],"the":[1,39,48,76,81,94,101,110,119,122,133,153,163,196,204,215],"increasing":[2],"adoption":[3],"of":[4,12,33,43,54,198,219],"GPS":[5],"modules,":[6],"there":[7],"are":[8,56,90,192],"a":[9,51,59,145,172],"wide":[10],"range":[11],"urban":[13,34,82],"applications":[14,35,83],"based":[15,208],"on":[16,38,162,209],"trajectory":[17,77,87,103,212],"data":[18,78,213],"analysis,":[19],"such":[20],"as":[21],"vehicle":[22],"navigation,":[23],"travel":[24],"time":[25],"estimation,":[26],"and":[27,71,79,130,138,158,181,189,202,217],"driver":[28],"behavior":[29],"analysis.":[30],"The":[31],"effectiveness":[32,216],"relies":[36],"greatly":[37],"high":[40],"sampling":[41,61],"rates":[42],"trajectories":[44,55,95,129,157],"precisely":[45],"matched":[46],"to":[47,67,92,106,109,151,177,194],"map.":[49],"However,":[50,121],"large":[52],"number":[53],"collected":[57],"under":[58],"low":[60],"rate":[62],"in":[63,96,118,156,166],"real-world":[64,211],"practice,":[65],"due":[66],"certain":[68],"communication":[69],"loss":[70],"energy":[72],"constraints.":[73],"To":[74],"enhance":[75],"support":[80],"more":[84],"effectively,":[85],"many":[86],"recovery":[88],"methods":[89],"proposed":[91,193],"infer":[93],"free":[97],"space.":[98],"In":[99,140],"addition,":[100],"recovered":[102],"still":[104],"needs":[105],"be":[107,116],"mapped":[108],"road":[111,164,179],"network,":[112],"before":[113],"it":[114],"can":[115],"used":[117],"applications.":[120],"two-stage":[123],"pipeline,":[124],"which":[125],"first":[126],"infers":[127],"high-sampling-rate":[128],"then":[131],"performs":[132],"map":[134,159],"matching,":[135],"is":[136],"inaccurate":[137],"inefficient.":[139],"this":[141],"paper,":[142],"we":[143],"propose":[144],"Map-constrained":[146],"Trajectory":[147],"Recovery":[148],"framework,":[149],"MTrajRec,":[150],"recover":[152],"fine-grained":[154],"points":[155],"match":[160],"them":[161],"network":[165],"an":[167],"end-to-end":[168],"manner.":[169],"MTrajRec":[170],"implements":[171],"multi-task":[173],"sequence-to-sequence":[174],"learning":[175],"architecture":[176],"predict":[178],"segment":[180],"moving":[182],"ratio":[183],"simultaneously.":[184],"Constraint":[185],"mask,":[186],"attention":[187],"mechanism,":[188],"attribute":[190],"module":[191],"overcome":[195],"limits":[197],"coarse":[199],"grid":[200],"representation":[201],"improve":[203],"performance.":[205],"Extensive":[206],"experiments":[207],"large-scale":[210],"confirm":[214],"efficiency":[218],"our":[220],"approach.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":28},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":8}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2021-06-22T00:00:00"}
