{"id":"https://openalex.org/W4288449618","doi":"https://doi.org/10.1142/s0218126623500287","title":"A Deep Learning-Based Fast Route Planning Model for Location-Based Social Networks","display_name":"A Deep Learning-Based Fast Route Planning Model for Location-Based Social Networks","publication_year":2022,"publication_date":"2022-07-28","ids":{"openalex":"https://openalex.org/W4288449618","doi":"https://doi.org/10.1142/s0218126623500287"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126623500287","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126623500287","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","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/A5075441379","display_name":"Dongfang Yang","orcid":"https://orcid.org/0000-0002-0875-5294"},"institutions":[{"id":"https://openalex.org/I236156700","display_name":"ZhengZhou Shengda University Of Economics, Business & Management","ror":"https://ror.org/0415fce48","country_code":"CN","type":"education","lineage":["https://openalex.org/I236156700"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongfang Yang","raw_affiliation_strings":["School of Information Engineering, Zhengzhou Shengda University, Zhengzhou, Henan 451191, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-0875-5294","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhengzhou Shengda University, Zhengzhou, Henan 451191, P. R. China","institution_ids":["https://openalex.org/I236156700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5075441379"],"corresponding_institution_ids":["https://openalex.org/I236156700"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0617088,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"02","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9883000254631042,"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":0.6940189599990845},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6650751829147339},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6618562936782837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.544710099697113},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.530604898929596},{"id":"https://openalex.org/keywords/cyberspace","display_name":"Cyberspace","score":0.44051769375801086},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3645888864994049},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3632563650608063},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23075264692306519},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.19746774435043335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6940189599990845},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6650751829147339},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6618562936782837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.544710099697113},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.530604898929596},{"id":"https://openalex.org/C2781241145","wikidata":"https://www.wikidata.org/wiki/Q204606","display_name":"Cyberspace","level":3,"score":0.44051769375801086},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3645888864994049},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3632563650608063},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23075264692306519},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.19746774435043335},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126623500287","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126623500287","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2942054333","https://openalex.org/W2947144452","https://openalex.org/W3034646226","https://openalex.org/W3040157551","https://openalex.org/W3042508749","https://openalex.org/W3084237879","https://openalex.org/W3095147220","https://openalex.org/W3099615175","https://openalex.org/W3117379804","https://openalex.org/W3126106273","https://openalex.org/W3147822227","https://openalex.org/W3159162481","https://openalex.org/W3190014961","https://openalex.org/W3197112114","https://openalex.org/W3197701220","https://openalex.org/W3208565045","https://openalex.org/W3210971248","https://openalex.org/W3214309058","https://openalex.org/W3215010342","https://openalex.org/W4200289922","https://openalex.org/W4210362858","https://openalex.org/W4214861970","https://openalex.org/W4220674695","https://openalex.org/W4225976909"],"related_works":["https://openalex.org/W2368745349","https://openalex.org/W3167675181","https://openalex.org/W2131575257","https://openalex.org/W2372005904","https://openalex.org/W144012884","https://openalex.org/W2360897455","https://openalex.org/W2377660959","https://openalex.org/W4251169878","https://openalex.org/W2810589793","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Nowadays,":[0],"location-based":[1],"social":[2,17,26],"networks":[3],"(LBSN)":[4],"are":[5,40,71],"a":[6,46,109,152,166],"kind":[7],"of":[8,89,131,173],"popular":[9],"media":[10],"in":[11,58,60,69],"cyberspace.":[12],"The":[13],"LBSN":[14,70,168],"provide":[15],"geography-aware":[16],"services":[18],"to":[19,23,32,36,51,54,143],"users,":[20,30],"so":[21],"as":[22],"create":[24],"special":[25],"network":[27],"activities.":[28],"For":[29],"where":[31],"go":[33],"and":[34],"how":[35],"arrange":[37],"following":[38],"positions":[39,78,150,156],"the":[41,55,61,97,129,159,171,174],"most":[42],"intuitive":[43],"problems.":[44],"As":[45],"result,":[47],"many":[48,81,85],"researchers":[49],"began":[50],"pay":[52],"attention":[53],"position":[56,66,121],"recommendation":[57,67],"LBSN,":[59],"past":[62],"decade.":[63],"However,":[64],"existing":[65],"methods":[68],"mostly":[72],"oriented":[73],"with":[74,103,128],"situations":[75],"involving":[76],"single":[77],"or":[79],"not":[80],"positions.":[82],"In":[83],"fact,":[84],"scenarios":[86],"require":[87],"suggestion":[88],"series":[90,148,155],"positions,":[91],"which":[92],"is":[93,126,141],"usually":[94],"ignored":[95],"by":[96],"current":[98],"research":[99],"works.":[100],"To":[101],"deal":[102],"this":[104,106],"problem,":[105],"paper":[107],"proposes":[108],"deep":[110,133,138],"learning-based":[111],"fast":[112],"route":[113,176],"planning":[114,177],"model":[115,140],"for":[116,123,147,151,161],"LBSN.":[117],"Specifically,":[118],"dependency":[119],"inside":[120],"sequences":[122],"each":[124],"user":[125],"modeled":[127],"use":[130],"recurrent":[132],"learning":[134,139],"model.":[135,178],"Then,":[136],"such":[137],"used":[142],"output":[144],"prediction":[145],"results":[146],"future":[149],"user.":[153],"Hence,":[154],"can":[157],"constitute":[158],"routes":[160],"users.":[162],"Finally,":[163],"experiments":[164],"on":[165],"real":[167],"dataset":[169],"show":[170],"efficiency":[172],"proposed":[175]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}