{"id":"https://openalex.org/W2945431268","doi":"https://doi.org/10.1109/jsyst.2019.2913080","title":"Venue2Vec: An Efficient Embedding Model for Fine-Grained User Location Prediction in Geo-Social Networks","display_name":"Venue2Vec: An Efficient Embedding Model for Fine-Grained User Location Prediction in Geo-Social Networks","publication_year":2019,"publication_date":"2019-05-14","ids":{"openalex":"https://openalex.org/W2945431268","doi":"https://doi.org/10.1109/jsyst.2019.2913080","mag":"2945431268"},"language":"en","primary_location":{"id":"doi:10.1109/jsyst.2019.2913080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2019.2913080","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Systems Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://eprints.uwe.ac.uk/40444/1/ISJ2019.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045837039","display_name":"Shuai Xu","orcid":"https://orcid.org/0000-0002-5734-3616"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuai Xu","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012384188","display_name":"Jiuxin Cao","orcid":"https://orcid.org/0000-0002-2448-6717"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiuxin Cao","raw_affiliation_strings":["Key Laboratory of Computer Network Technology of Jiangsu Province, School of Cyber Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Network Technology of Jiangsu Province, School of Cyber Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053235466","display_name":"Phil Legg","orcid":"https://orcid.org/0000-0003-3460-5609"},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Phil Legg","raw_affiliation_strings":["Department of Computer Science and Creative Technologies, University of the West of England, Bristol, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Creative Technologies, University of the West of England, Bristol, U.K","institution_ids":["https://openalex.org/I178535277"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461575","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0001-5209-9063"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112604661","display_name":"Shancang Li","orcid":"https://orcid.org/0000-0001-5663-7420"},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shancang Li","raw_affiliation_strings":["Department of Computer Science and Creative Technologies, University of the West of England, Bristol, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Creative Technologies, University of the West of England, Bristol, U.K","institution_ids":["https://openalex.org/I178535277"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045837039"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":6.1537,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.9514985,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"14","issue":"2","first_page":"1740","last_page":"1751"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12392","display_name":"Sharing Economy and Platforms","score":0.9751999974250793,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8470213413238525},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7009471654891968},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6874797940254211},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5973012447357178},{"id":"https://openalex.org/keywords/parallelizable-manifold","display_name":"Parallelizable manifold","score":0.5743737816810608},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5112855434417725},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5111311078071594},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.504252552986145},{"id":"https://openalex.org/keywords/location-based-service","display_name":"Location-based service","score":0.41103190183639526},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32156509160995483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3055131733417511},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10603636503219604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8470213413238525},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7009471654891968},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6874797940254211},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5973012447357178},{"id":"https://openalex.org/C148047603","wikidata":"https://www.wikidata.org/wiki/Q1014612","display_name":"Parallelizable manifold","level":2,"score":0.5743737816810608},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5112855434417725},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5111311078071594},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.504252552986145},{"id":"https://openalex.org/C155292070","wikidata":"https://www.wikidata.org/wiki/Q1198122","display_name":"Location-based service","level":2,"score":0.41103190183639526},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32156509160995483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3055131733417511},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10603636503219604},{"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/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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jsyst.2019.2913080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2019.2913080","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Systems Journal","raw_type":"journal-article"},{"id":"pmh:oai:eprints.uwe.ac.uk:40444","is_oa":true,"landing_page_url":"http://eprints.uwe.ac.uk/40444/1/ISJ2019.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401464","display_name":"UWE Research Repository (UWE Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I178535277","host_organization_name":"University of the West of England","host_organization_lineage":["https://openalex.org/I178535277"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:eprints.uwe.ac.uk:40444","is_oa":true,"landing_page_url":"http://eprints.uwe.ac.uk/40444/1/ISJ2019.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401464","display_name":"UWE Research Repository (UWE Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I178535277","host_organization_name":"University of the West of England","host_organization_lineage":["https://openalex.org/I178535277"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.47999998927116394,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1284778368","display_name":null,"funder_award_id":"61402104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3904716326","display_name":null,"funder_award_id":"61772133","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G826135755","display_name":null,"funder_award_id":"61472081","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W111302912","https://openalex.org/W264700616","https://openalex.org/W1614298861","https://openalex.org/W1984189333","https://openalex.org/W1985854669","https://openalex.org/W1990444226","https://openalex.org/W1993995511","https://openalex.org/W2062079386","https://openalex.org/W2063718055","https://openalex.org/W2071702404","https://openalex.org/W2074194940","https://openalex.org/W2082433370","https://openalex.org/W2084677224","https://openalex.org/W2115240023","https://openalex.org/W2125761757","https://openalex.org/W2133299088","https://openalex.org/W2154851992","https://openalex.org/W2156120579","https://openalex.org/W2187089797","https://openalex.org/W2205235818","https://openalex.org/W2222911438","https://openalex.org/W2274641369","https://openalex.org/W2275236596","https://openalex.org/W2329399643","https://openalex.org/W2394103513","https://openalex.org/W2399167294","https://openalex.org/W2438985978","https://openalex.org/W2460272942","https://openalex.org/W2499480638","https://openalex.org/W2507540701","https://openalex.org/W2531384334","https://openalex.org/W2534727297","https://openalex.org/W2536648533","https://openalex.org/W2539781657","https://openalex.org/W2605350416","https://openalex.org/W2763040505","https://openalex.org/W2790263849","https://openalex.org/W2900349952","https://openalex.org/W2964341035","https://openalex.org/W3104097132","https://openalex.org/W4294629820","https://openalex.org/W6636510571","https://openalex.org/W6678825698","https://openalex.org/W6688089849","https://openalex.org/W6688897457","https://openalex.org/W6694720435","https://openalex.org/W6712620868","https://openalex.org/W6718225188","https://openalex.org/W6728864075"],"related_works":["https://openalex.org/W4285069850","https://openalex.org/W1974634278","https://openalex.org/W4240963716","https://openalex.org/W2891970004","https://openalex.org/W4301075503","https://openalex.org/W1596637634","https://openalex.org/W1996916724","https://openalex.org/W4394643898","https://openalex.org/W3026405273","https://openalex.org/W4286432911"],"abstract_inverted_index":{"Geo-Social":[0],"Networks":[1],"(GSN)":[2],"significantly":[3],"improve":[4],"location-aware":[5],"capability":[6],"of":[7,18,26,83,106,140,204],"services":[8],"by":[9,102,154],"offering":[10],"geo-located":[11],"content":[12],"based":[13,30],"on":[14,31,165,195,210,221],"the":[15,22,81,103,141,161,202,205,229],"huge":[16],"volumes":[17],"data":[19,33],"generated":[20],"in":[21,34,109,113],"GSN.":[23],"The":[24],"problem":[25],"user":[27,136],"location":[28,50,56,137,187],"prediction":[29],"user-generated":[32],"GSN":[35,198],"has":[36],"been":[37],"extensively":[38],"studied.":[39],"However,":[40],"existing":[41],"studies":[42],"are":[43,147],"either":[44],"concerning":[45],"predicting":[46,52,176],"users\u2019":[47],"next":[48,179],"check-in":[49,55,180,186],"or":[51,150],"their":[53,184],"future":[54,185],"at":[57,188],"a":[58,118,177,189],"given":[59,190],"time":[60],"with":[61,72,87],"coarse":[62],"granularity.":[63],"A":[64],"unified":[65],"model":[66,121,216,231],"that":[67,146,173,214],"can":[68,232],"predict":[69],"both":[70,88,211],"scenarios":[71],"fine":[73],"granularity":[74],"is":[75],"quite":[76],"rare.":[77],"Also,":[78],"due":[79,236],"to":[80,93,200,237],"heterogeneity":[82],"multiple":[84],"factors":[85],"associated":[86],"locations":[89],"and":[90,131,144,182],"users,":[91],"how":[92,228],"efficiently":[94],"incorporate":[95],"these":[96],"information":[97],"still":[98],"remains":[99],"challenging.":[100],"Inspired":[101],"recent":[104],"success":[105],"word":[107],"embedding":[108,120,162],"natural":[110],"language":[111],"processing,":[112],"this":[114],"paper,":[115],"we":[116,170,226],"propose":[117],"novel":[119],"called":[122],"Venue2Vec":[123,168,215,230],"which":[124],"automatically":[125],"incorporates":[126],"temporal-spatial":[127],"context,":[128],"semantic":[129],"information,":[130],"sequential":[132],"relations":[133],"for":[134,175],"fine-grained":[135],"prediction.":[138],"Locations":[139],"same":[142],"type,":[143],"those":[145],"geographically":[148],"close":[149],"often":[151],"visited":[152],"successively":[153],"users":[155],"will":[156],"be":[157,233],"situated":[158],"closer":[159],"within":[160],"space.":[163],"Based":[164],"our":[166],"proposed":[167,206],"model,":[169],"design":[171],"techniques":[172],"allow":[174],"user\u2019s":[178],"location,":[181],"also":[183],"time.":[191],"We":[192],"conduct":[193],"experiments":[194],"three":[196],"real-world":[197],"datasets":[199],"verify":[201],"performance":[203],"model.":[207],"Experimental":[208],"results":[209],"tasks":[212],"show":[213,227],"outperforms":[217],"several":[218],"state-of-the-art":[219],"models":[220],"various":[222],"evaluation":[223],"metrics.":[224],"Furthermore,":[225],"more":[234],"time-efficient":[235],"being":[238],"parallelizable.":[239]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}