{"id":"https://openalex.org/W4294891506","doi":"https://doi.org/10.1109/tbdata.2022.3204759","title":"Modeling Spatial Trajectories Using Coarse-Grained Smartphone Logs","display_name":"Modeling Spatial Trajectories Using Coarse-Grained Smartphone Logs","publication_year":2022,"publication_date":"2022-09-07","ids":{"openalex":"https://openalex.org/W4294891506","doi":"https://doi.org/10.1109/tbdata.2022.3204759"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2022.3204759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2022.3204759","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-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/A5048624971","display_name":"Vinayak Gupta","orcid":"https://orcid.org/0000-0002-2626-8852"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vinayak Gupta","raw_affiliation_strings":["Department of Computer Science &#x0026; Engineering, Indian Institute of Technology, Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science &#x0026; Engineering, Indian Institute of Technology, Delhi, New Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085995102","display_name":"Srikanta Bedathur","orcid":"https://orcid.org/0000-0002-3949-2175"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Srikanta Bedathur","raw_affiliation_strings":["Department of Computer Science &#x0026; Engineering, Indian Institute of Technology, Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science &#x0026; Engineering, Indian Institute of Technology, Delhi, New Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048624971"],"corresponding_institution_ids":["https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":0.4445,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71578251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9","issue":"2","first_page":"608","last_page":"620"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9962999820709229,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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":0.7926735281944275},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3369699716567993}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7926735281944275},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3369699716567993}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2022.3204759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2022.3204759","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7799999713897705,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1982300822","https://openalex.org/W2070561555","https://openalex.org/W2073013176","https://openalex.org/W2105482032","https://openalex.org/W2110953678","https://openalex.org/W2121746381","https://openalex.org/W2140188249","https://openalex.org/W2171279286","https://openalex.org/W2250539671","https://openalex.org/W2463983882","https://openalex.org/W2539781657","https://openalex.org/W2605350416","https://openalex.org/W2612780612","https://openalex.org/W2626454364","https://openalex.org/W2740063619","https://openalex.org/W2769747407","https://openalex.org/W2783272285","https://openalex.org/W2783554469","https://openalex.org/W2788114581","https://openalex.org/W2798749602","https://openalex.org/W2814123995","https://openalex.org/W2867941393","https://openalex.org/W2889326796","https://openalex.org/W2896457183","https://openalex.org/W2903749028","https://openalex.org/W2905432015","https://openalex.org/W2907639449","https://openalex.org/W2907806693","https://openalex.org/W2913696439","https://openalex.org/W2930399901","https://openalex.org/W2934924962","https://openalex.org/W2952403926","https://openalex.org/W2963367478","https://openalex.org/W2963925437","https://openalex.org/W2981413347","https://openalex.org/W2984100107","https://openalex.org/W2985694911","https://openalex.org/W2996931760","https://openalex.org/W2997340900","https://openalex.org/W2997842691","https://openalex.org/W3003157017","https://openalex.org/W3080292238","https://openalex.org/W3080332655","https://openalex.org/W3081170586","https://openalex.org/W3102619277","https://openalex.org/W3209029543","https://openalex.org/W4301312111","https://openalex.org/W6621906925","https://openalex.org/W6631190155","https://openalex.org/W6632885370","https://openalex.org/W6682691769","https://openalex.org/W6684062020","https://openalex.org/W6692935382","https://openalex.org/W6739901393","https://openalex.org/W6753001893","https://openalex.org/W6755207826","https://openalex.org/W6757585730","https://openalex.org/W6794811853"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Every":[0],"user":[1,32,198],"carries":[2],"their":[3,68,75,121,132],"smartphones":[4],"wherever":[5],"they":[6],"go":[7],"\u2013":[8,205,209],"a":[9,31,57,88,104,147,197,222],"crucial":[10],"aspect":[11],"ignored":[12],"by":[13,128,183],"the":[14,22,26,34,39,43,49,53,100,110,129,177,184,193,214,218,238],"current":[15,23],"models":[16],"for":[17],"spatial":[18,36,122],"recommendations.":[19],"In":[20,79],"detail,":[21],"approaches":[24,243],"learn":[25],"points-of-interest":[27],"(POI)":[28],"preferences":[29,102,195],"of":[30,56,103,114,131,138,152,155,161,186,196,202,221],"via":[33],"standard":[35],"features,":[37],"i.e.":[38],"POI":[40,90,194,241],"coordinates":[41,71],"and":[42,46,158,176,207,244,250],"social":[44,76,174],"network,":[45],"thus":[47],"ignore":[48],"features":[50],"related":[51],"to":[52,98,142,171,248],"smartphone":[54,95,133,156],"usage":[55],"user.":[58,105,223],"Moreover,":[59],"with":[60,109,210],"growing":[61],"privacy":[62],"concerns,":[63],"users":[64,117],"refrain":[65],"from":[66,213,230],"sharing":[67],"exact":[69],"geographical":[70],"as":[72,74],"well":[73],"media":[77],"activity.":[78],"this":[80],"paper,":[81],"we":[82],"present":[83],"<sc":[84,165,189,234],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[85,166,190,235],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">ReVAMP</small>":[86,167,191,236],",":[87],"sequential":[89,240],"recommendation":[91,242],"approach":[92],"that":[93,120,233],"uses":[94],"app-usage":[96],"logs":[97,144],"identify":[99],"mobility":[101,123],"Our":[106],"work":[107],"aligns":[108],"recent":[111],"psychological":[112],"studies":[113],"online":[115],"urban":[116],"which":[118],"show":[119,232],"behavior":[124],"is":[125,168],"largely":[126],"influenced":[127],"activity":[130],"apps.":[134],"Specifically,":[135],"our":[136],"proposal":[137],"coarse-grained":[139],"data":[140,143],"refers":[141],"collected":[145],"in":[146,217],"privacy-conscious":[148],"manner":[149],"consisting":[150],"only":[151],"(a)":[153],"category":[154,160],"app-used":[157],"(b)":[159],"check-in":[162,219],"location.":[163],"Thus,":[164],"not":[169],"privy":[170],"precise":[172],"geo-coordinates,":[173],"networks,":[175],"specific":[178],"app":[179],"being":[180],"used.":[181],"Buoyed":[182],"efficacy":[185],"self-attention":[187],"models,":[188],"learns":[192],"using":[199],"two":[200,227],"forms":[201],"positional":[203],"encodings":[204],"absolute":[206],"relative":[208],"each":[211],"extracted":[212],"inter-check-in":[215],"dynamics":[216],"sequence":[220],"Extensive":[224],"experiments":[225],"across":[226],"large-scale":[228],"datasets":[229],"China":[231],"outperforms":[237],"state-of-the-art":[239],"can":[245],"be":[246],"extended":[247],"app-":[249],"POI-category":[251],"prediction.":[252]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
