{"id":"https://openalex.org/W4221070578","doi":"https://doi.org/10.1109/tnnls.2022.3154204","title":"MetaGeo: A General Framework for Social User Geolocation Identification With Few-Shot Learning","display_name":"MetaGeo: A General Framework for Social User Geolocation Identification With Few-Shot Learning","publication_year":2022,"publication_date":"2022-03-08","ids":{"openalex":"https://openalex.org/W4221070578","doi":"https://doi.org/10.1109/tnnls.2022.3154204","pmid":"https://pubmed.ncbi.nlm.nih.gov/35259118"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3154204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3154204","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100403505","display_name":"Fan Zhou","orcid":"https://orcid.org/0000-0002-8038-8150"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhou","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8038-8150","affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001931041","display_name":"Xiuxiu Qi","orcid":"https://orcid.org/0000-0002-2642-9329"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuxiu Qi","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014223717","display_name":"Kunpeng Zhang","orcid":"https://orcid.org/0000-0002-1474-3169"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kunpeng Zhang","raw_affiliation_strings":["Department of Decision, Operations and Information Technologies, University of Maryland, College Park, MD, USA"],"raw_orcid":"https://orcid.org/0000-0002-1474-3169","affiliations":[{"raw_affiliation_string":"Department of Decision, Operations and Information Technologies, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086447943","display_name":"Goce Trajcevski","orcid":"https://orcid.org/0000-0002-8839-6278"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Goce Trajcevski","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA"],"raw_orcid":"https://orcid.org/0000-0002-8839-6278","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034789908","display_name":"Ting Zhong","orcid":"https://orcid.org/0000-0002-8163-3146"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Zhong","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8163-3146","affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2197,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.8929056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"34","issue":"11","first_page":"8950","last_page":"8964"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9922999739646912,"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/geolocation","display_name":"Geolocation","score":0.9577199220657349},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8027263879776001},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6298235058784485},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.603181779384613},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6008141040802002},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5609202980995178},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5532848834991455},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5022697448730469},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5008368492126465},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.48377010226249695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47109493613243103},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4503836929798126},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39739954471588135},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35124480724334717},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13359776139259338},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08642339706420898}],"concepts":[{"id":"https://openalex.org/C22041718","wikidata":"https://www.wikidata.org/wiki/Q638949","display_name":"Geolocation","level":2,"score":0.9577199220657349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8027263879776001},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6298235058784485},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.603181779384613},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6008141040802002},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5609202980995178},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5532848834991455},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5022697448730469},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5008368492126465},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.48377010226249695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47109493613243103},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4503836929798126},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39739954471588135},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35124480724334717},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13359776139259338},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08642339706420898},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3154204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3154204","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:35259118","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35259118","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5799999833106995}],"awards":[{"id":"https://openalex.org/G3976612152","display_name":null,"funder_award_id":"62176043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5983462902","display_name":"\u56fe\u5b66\u4e60\u4e2d\u7684\u53ef\u89e3\u91ca\u6027\u7814\u7a76","funder_award_id":"62072077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"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":108,"referenced_works":["https://openalex.org/W27793324","https://openalex.org/W99485931","https://openalex.org/W772778685","https://openalex.org/W1522301498","https://openalex.org/W1736726159","https://openalex.org/W1959608418","https://openalex.org/W1979987551","https://openalex.org/W1982471600","https://openalex.org/W2018277822","https://openalex.org/W2053229448","https://openalex.org/W2098541151","https://openalex.org/W2123294561","https://openalex.org/W2131744502","https://openalex.org/W2137435333","https://openalex.org/W2140535046","https://openalex.org/W2142191319","https://openalex.org/W2142889507","https://openalex.org/W2165442870","https://openalex.org/W2168346693","https://openalex.org/W2200959369","https://openalex.org/W2250457198","https://openalex.org/W2435450765","https://openalex.org/W2467321947","https://openalex.org/W2472819217","https://openalex.org/W2591909298","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2612301670","https://openalex.org/W2741226448","https://openalex.org/W2753160622","https://openalex.org/W2767106145","https://openalex.org/W2767340877","https://openalex.org/W2792422168","https://openalex.org/W2792929363","https://openalex.org/W2793483901","https://openalex.org/W2795282075","https://openalex.org/W2799012717","https://openalex.org/W2805481182","https://openalex.org/W2868921360","https://openalex.org/W2884596205","https://openalex.org/W2888541716","https://openalex.org/W2908369924","https://openalex.org/W2908939884","https://openalex.org/W2911752602","https://openalex.org/W2913148949","https://openalex.org/W2916106175","https://openalex.org/W2934734939","https://openalex.org/W2944555450","https://openalex.org/W2944774301","https://openalex.org/W2947380870","https://openalex.org/W2951266961","https://openalex.org/W2962756421","https://openalex.org/W2962873911","https://openalex.org/W2963341924","https://openalex.org/W2963631600","https://openalex.org/W2963666326","https://openalex.org/W2963741406","https://openalex.org/W2963791934","https://openalex.org/W2964015378","https://openalex.org/W2964050365","https://openalex.org/W2964105864","https://openalex.org/W2964347896","https://openalex.org/W2970941190","https://openalex.org/W2973077827","https://openalex.org/W2984323660","https://openalex.org/W2997198750","https://openalex.org/W3035054804","https://openalex.org/W3091905774","https://openalex.org/W4212863985","https://openalex.org/W4293412117","https://openalex.org/W4293771437","https://openalex.org/W4295676892","https://openalex.org/W4297813345","https://openalex.org/W4300001399","https://openalex.org/W4300514939","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6674886336","https://openalex.org/W6679775712","https://openalex.org/W6680314648","https://openalex.org/W6681249963","https://openalex.org/W6681968150","https://openalex.org/W6684253257","https://openalex.org/W6692084268","https://openalex.org/W6717697761","https://openalex.org/W6718171111","https://openalex.org/W6720057410","https://openalex.org/W6726873649","https://openalex.org/W6735236233","https://openalex.org/W6739044788","https://openalex.org/W6743661861","https://openalex.org/W6745921498","https://openalex.org/W6746260573","https://openalex.org/W6748331328","https://openalex.org/W6749700008","https://openalex.org/W6750523955","https://openalex.org/W6751959828","https://openalex.org/W6755365793","https://openalex.org/W6757740418","https://openalex.org/W6758126075","https://openalex.org/W6760001035","https://openalex.org/W6763430915","https://openalex.org/W6764214684","https://openalex.org/W6764733053","https://openalex.org/W6766092863","https://openalex.org/W6767291801","https://openalex.org/W6783596713","https://openalex.org/W6946212884"],"related_works":["https://openalex.org/W2163194970","https://openalex.org/W3105229732","https://openalex.org/W2799094075","https://openalex.org/W2892370851","https://openalex.org/W2945387931","https://openalex.org/W2187946387","https://openalex.org/W2052024186","https://openalex.org/W2939141610","https://openalex.org/W68214382","https://openalex.org/W4310429133"],"abstract_inverted_index":{"Identifying":[0],"the":[1,121,125,133,156,189,204,214,220,223],"geolocation":[2,126,157],"of":[3,15,50,124,191,216],"social":[4,54],"media":[5],"users":[6,93,136],"is":[7,116],"an":[8],"important":[9],"problem":[10],"in":[11,128,177,218],"a":[12,76,108,117,148],"wide":[13],"range":[14],"applications,":[16],"spanning":[17],"from":[18,70,94,137,141,151],"disease":[19],"outbreaks,":[20],"emergency":[21],"detection,":[22],"local":[23],"event":[24],"recommendation,":[25],"to":[26,42,89,130,172],"fake":[27],"news":[28],"localization,":[29],"online":[30],"marketing":[31],"planning,":[32],"and":[33,37,56,82,184,202],"even":[34],"crime":[35],"control":[36],"prevention.":[38],"Researchers":[39],"have":[40,229],"attempted":[41],"propose":[43,107],"various":[44],"models":[45,85],"by":[46,162],"combining":[47],"different":[48],"sources":[49],"information,":[51],"including":[52],"text,":[53],"relation,":[55],"contextual":[57],"data,":[58],"which":[59,115],"indeed":[60],"has":[61],"achieved":[62],"promising":[63],"results.":[64],"However,":[65],"existing":[66],"approaches":[67],"still":[68],"suffer":[69],"certain":[71],"constraints,":[72],"such":[73],"as:":[74],"1)":[75],"very":[77],"few":[78,180],"samples":[79],"are":[80,86,97,226],"available":[81],"2)":[83],"prediction":[84,134,158],"not":[87,230],"easy":[88],"be":[90],"generalized":[91],"for":[92,111],"new":[95,138,149],"regions-which":[96],"challenges":[98],"that":[99,145],"motivate":[100],"our":[101],"study.":[102],"In":[103,166],"this":[104],"article,":[105],"we":[106,193],"general":[109],"framework":[110],"identifying":[112],"user":[113],"geolocation-MetaGeo,":[114],"meta-learning-based":[118],"approach,":[119],"learning":[120],"prior":[122],"distribution":[123],"task":[127,185],"order":[129],"quickly":[131],"adapt":[132],"toward":[135],"locations.":[139],"Different":[140],"typical":[142],"meta-learning":[143],"settings":[144,161,221],"only":[146],"learn":[147],"concept":[150],"few-shot":[152],"samples,":[153],"MetaGeo":[154,168,217],"improves":[155],"with":[159,179,206],"conventional":[160],"ensembling":[163],"numerous":[164],"mini-tasks.":[165],"addition,":[167],"incorporates":[169],"probabilistic":[170],"inference":[171],"alleviate":[173],"two":[174],"issues":[175],"inherent":[176],"training":[178],"samples:":[181],"location":[182],"uncertainty":[183],"ambiguity.":[186],"To":[187],"demonstrate":[188,213],"effectiveness":[190],"MetaGeo,":[192],"conduct":[194],"extensive":[195],"experimental":[196],"evaluations":[197],"on":[198],"three":[199],"real-world":[200],"datasets":[201],"compare":[203],"performance":[205],"several":[207],"state-of-the-art":[208],"benchmark":[209],"models.":[210],"The":[211],"results":[212],"superiority":[215],"both":[219],"where":[222],"predicted":[224],"locations/regions":[225],"known":[227],"or":[228],"been":[231],"seen":[232],"during":[233],"training.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}