{"id":"https://openalex.org/W4312905817","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892278","title":"Dual-Contrastive for Federated Social Recommendation","display_name":"Dual-Contrastive for Federated Social Recommendation","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312905817","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892278"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892278","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/A5065160211","display_name":"Linze Luo","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":"Linze Luo","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"],"raw_orcid":null,"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/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"],"raw_orcid":null,"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":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":null,"apc_paid":null,"fwci":0.8735,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76929674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9993000030517578,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9944999814033508,"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/T11478","display_name":"Caching and Content Delivery","score":0.9229000210762024,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.8562449216842651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8379841446876526},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6960062980651855},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6839598417282104},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5843049883842468},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5571797490119934},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5440525412559509},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.48894965648651123},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4544539451599121},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45291778445243835},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3295198380947113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26565325260162354},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1897212564945221}],"concepts":[{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.8562449216842651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8379841446876526},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6960062980651855},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6839598417282104},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5843049883842468},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5571797490119934},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5440525412559509},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.48894965648651123},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4544539451599121},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45291778445243835},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3295198380947113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26565325260162354},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1897212564945221},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892278","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":[{"id":"https://metadata.un.org/sdg/1","score":0.7200000286102295,"display_name":"No poverty"}],"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2033198212","https://openalex.org/W2054141820","https://openalex.org/W2109742433","https://openalex.org/W2119825970","https://openalex.org/W2135598826","https://openalex.org/W2140310134","https://openalex.org/W2144487656","https://openalex.org/W2509678028","https://openalex.org/W2555897561","https://openalex.org/W2610153490","https://openalex.org/W2797851444","https://openalex.org/W2912213068","https://openalex.org/W2913777072","https://openalex.org/W2914721378","https://openalex.org/W2919995112","https://openalex.org/W2952303992","https://openalex.org/W3005680577","https://openalex.org/W3035725276","https://openalex.org/W3064112253","https://openalex.org/W3109094166","https://openalex.org/W3110072028","https://openalex.org/W3118699637","https://openalex.org/W3127173367","https://openalex.org/W3137323195","https://openalex.org/W3155936517","https://openalex.org/W3158371160","https://openalex.org/W3170682786","https://openalex.org/W3182158470","https://openalex.org/W3201463768","https://openalex.org/W3217045679","https://openalex.org/W4318619660","https://openalex.org/W6638034506","https://openalex.org/W6676638735","https://openalex.org/W6680830989","https://openalex.org/W6728757088","https://openalex.org/W6730323794","https://openalex.org/W6737558694","https://openalex.org/W6764955191","https://openalex.org/W6774314701","https://openalex.org/W6775322706","https://openalex.org/W6782198796","https://openalex.org/W6787586504","https://openalex.org/W6790009805","https://openalex.org/W6804753138"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W790944756"],"abstract_inverted_index":{"Existing":[0],"federated":[1,31,48,57,65],"social":[2,32,58,66],"recommendation":[3,33,59,67],"systems":[4,34],"mainly":[5],"focus":[6],"on":[7,70,88,125],"protecting":[8],"users'":[9],"data":[10,16,45,122],"privacy,":[11],"and":[12,84,94,100,113],"the":[13,27,40,43,47,54,79,89,96,117],"hetero-geneity":[14],"of":[15,30,42,56,120],"distribution":[17],"among":[18],"users":[19,87],"is":[20,39],"less":[21],"mentioned.":[22],"A":[23],"key":[24],"reason":[25],"for":[26,104,108],"poor":[28],"performance":[29,118,134],"compared":[35],"to":[36,77,110],"traditional":[37],"ones":[38],"heterogeneity":[41],"local":[44,99],"in":[46],"setting.":[49],"Also,":[50],"it":[51],"severely":[52],"limits":[53],"development":[55],"systems.":[60],"This":[61],"paper":[62],"proposes":[63],"a":[64,82],"framework":[68],"based":[69],"Contrastive":[71],"Learning.":[72],"We":[73],"use":[74],"contrastive":[75],"learning":[76],"minimize":[78],"distance":[80],"between":[81,98],"user":[83,90,111],"his":[85],"trusted":[86],"level's":[91],"feature":[92],"space":[93],"maximize":[95],"consistency":[97],"global":[101],"item":[102,105,114],"embeddings":[103,112,115],"embedding.":[106],"Corrections":[107],"updates":[109],"alleviate":[116],"impact":[119],"heterogeneous":[121],"distributions.":[123],"Experiments":[124],"three":[126],"datasets":[127],"show":[128],"that":[129],"our":[130],"approach":[131],"significantly":[132],"improves":[133],"over":[135],"existing":[136],"methods.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
