{"id":"https://openalex.org/W4312651759","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892943","title":"Ranking-based Federated POI Recommendation with Geographic Effect","display_name":"Ranking-based Federated POI Recommendation with Geographic Effect","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312651759","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892943"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892943","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5004798067","display_name":"Qian Dong","orcid":"https://orcid.org/0000-0002-8653-2395"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Dong","raw_affiliation_strings":["Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030910124","display_name":"Baisong Liu","orcid":"https://orcid.org/0000-0001-5455-279X"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baisong Liu","raw_affiliation_strings":["Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100639251","display_name":"Xueyuan Zhang","orcid":"https://orcid.org/0000-0001-5617-1640"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueyuan Zhang","raw_affiliation_strings":["Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021881680","display_name":"Jiangcheng Qin","orcid":"https://orcid.org/0000-0002-7705-6040"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangcheng Qin","raw_affiliation_strings":["Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101949888","display_name":"Bingyuan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingyuan Wang","raw_affiliation_strings":["Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004828717","display_name":"Jiangbo Qian","orcid":"https://orcid.org/0000-0003-4245-3246"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangbo Qian","raw_affiliation_strings":["Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5004798067"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":null,"apc_paid":null,"fwci":2.4374,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90273038,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9986000061035156,"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":0.9986000061035156,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9983999729156494,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7903083562850952},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7812283039093018},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.5915606021881104},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.574504554271698},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5024135112762451},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.48366579413414},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.46823850274086},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.43448731303215027},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.428943395614624},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3301589787006378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15536129474639893}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7903083562850952},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7812283039093018},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.5915606021881104},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.574504554271698},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5024135112762451},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.48366579413414},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46823850274086},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.43448731303215027},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.428943395614624},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3301589787006378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15536129474639893},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892943","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3985329175","display_name":null,"funder_award_id":"61472194","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5724312771","display_name":null,"funder_award_id":"LZ20F020001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G6576942238","display_name":null,"funder_award_id":"2021J091","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332587","display_name":"Natural Science Foundation of Ningbo","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1986050033","https://openalex.org/W2009779426","https://openalex.org/W2073013176","https://openalex.org/W2084677224","https://openalex.org/W2087692915","https://openalex.org/W2146502635","https://openalex.org/W2565764467","https://openalex.org/W2616838269","https://openalex.org/W2763254131","https://openalex.org/W2765404514","https://openalex.org/W2788495710","https://openalex.org/W2801404331","https://openalex.org/W2825858716","https://openalex.org/W2898928228","https://openalex.org/W2967206233","https://openalex.org/W2972989020","https://openalex.org/W3013345707","https://openalex.org/W3013661294","https://openalex.org/W3028169453","https://openalex.org/W3039440100","https://openalex.org/W3045297481","https://openalex.org/W3089328091","https://openalex.org/W3098012129","https://openalex.org/W3105121466","https://openalex.org/W3145363636","https://openalex.org/W3146964317","https://openalex.org/W3157717199","https://openalex.org/W3163443092","https://openalex.org/W3163509816","https://openalex.org/W3177253431","https://openalex.org/W3185044643","https://openalex.org/W4298133353","https://openalex.org/W6681435938","https://openalex.org/W6775569692","https://openalex.org/W6787147586","https://openalex.org/W6798830085"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W1976205134","https://openalex.org/W4386781444","https://openalex.org/W2381570729","https://openalex.org/W4248336175","https://openalex.org/W3092950680","https://openalex.org/W1657011257","https://openalex.org/W2937325523","https://openalex.org/W3048565508","https://openalex.org/W2912355043"],"abstract_inverted_index":{"Point":[0],"of":[1,58,127,166],"Interest":[2],"(POI)":[3],"recommendation":[4,43,61,120,169],"system":[5],"rec-ommends":[6],"places":[7],"in":[8],"which":[9,32],"users":[10,77],"have":[11],"never":[12],"been":[13],"to":[14,28,45,78,86,95,114,143],"but":[15],"may":[16],"be":[17],"in-terested.":[18],"Traditionally,":[19],"it":[20],"centrally":[21],"collects":[22],"contextual":[23],"information":[24],"and":[25,118,152],"interaction":[26],"data":[27,82],"model":[29,96],"users'":[30,52,101,172],"preferences,":[31],"raises":[33],"many":[34],"privacy":[35,48,53,116],"concerns.":[36],"The":[37,74],"current":[38],"studies":[39],"habitually":[40],"sacrifice":[41],"the":[42,56,59,97,125,140,164,167],"performance":[44,57,165],"cope":[46],"with":[47,70],"con-cerns.":[49],"To":[50],"protect":[51,115],"while":[54,170],"ensuring":[55],"POI":[60,68,129,135,168],"system,":[62],"we":[63,107],"propose":[64],"a":[65,109,128,131,145],"Ranking-based":[66],"Federated":[67],"Recommendation":[69],"Geographic":[71],"Effect":[72],"(RFPG).":[73],"RFPG":[75,162],"allows":[76],"reserve":[79],"their":[80],"private":[81,173],"on":[83,154],"local":[84,146],"devices":[85],"secure":[87],"privacy.":[88],"It":[89],"adaptively":[90],"constructs":[91],"an":[92],"active":[93],"region":[94],"geographic":[98,136],"effect,":[99],"enhancing":[100],"personalized":[102],"preference":[103],"modeling.":[104],"In":[105],"addition,":[106],"design":[108],"probability-based":[110],"negative":[111,132],"sampling":[112],"method":[113,123],"further":[117],"improve":[119],"performance.":[121],"This":[122],"calculates":[124],"probability":[126],"being":[130],"sample":[133],"through":[134],"distribution,":[137],"then":[138],"combines":[139],"positive":[141],"samples":[142],"construct":[144],"triplet":[147],"training":[148],"dataset.":[149],"Theoretical":[150],"analysis":[151],"experiments":[153],"two":[155],"real":[156],"datasets":[157],"demonstrate":[158],"that":[159],"our":[160],"proposed":[161],"improves":[163],"protecting":[171],"data.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}