{"id":"https://openalex.org/W4385768033","doi":"https://doi.org/10.24963/ijcai.2023/245","title":"Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation","display_name":"Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385768033","doi":"https://doi.org/10.24963/ijcai.2023/245"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/245","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/245","pdf_url":"https://www.ijcai.org/proceedings/2023/0245.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0245.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007858277","display_name":"Weiming Liu","orcid":"https://orcid.org/0000-0002-4115-7667"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Liu","raw_affiliation_strings":["Zhejiang university","College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang university","institution_ids":[]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028791879","display_name":"Chaochao Chen","orcid":"https://orcid.org/0000-0003-1419-964X"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaochao Chen","raw_affiliation_strings":["Zhejiang University","College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071445044","display_name":"Xinting Liao","orcid":"https://orcid.org/0000-0002-8257-2381"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinting Liao","raw_affiliation_strings":["Zhejiang University","College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107957231","display_name":"Mengling Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengling Hu","raw_affiliation_strings":["Zhejiang University","College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069353502","display_name":"Jianwei Yin","orcid":"https://orcid.org/0000-0003-4703-7348"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Yin","raw_affiliation_strings":["Zhejiang University","College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083137715","display_name":"Yanchao Tan","orcid":"https://orcid.org/0000-0002-3526-6859"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanchao Tan","raw_affiliation_strings":["Fuzhou University","College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100535418","display_name":"Longfei Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]},{"id":"https://openalex.org/I4210121321","display_name":"ANT Foundation Italy Onlus","ror":"https://ror.org/02zf60s91","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210121321"]}],"countries":["CN","IT"],"is_corresponding":false,"raw_author_name":"Longfei Zheng","raw_affiliation_strings":["Ant Financial","Ant Financial, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Financial","institution_ids":["https://openalex.org/I4210121321"]},{"raw_affiliation_string":"Ant Financial, Hangzhou, China","institution_ids":["https://openalex.org/I4210090985"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.5092,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.98629884,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2206","last_page":"2214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9944000244140625,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9485999941825867,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8425115346908569},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6538755893707275},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6210916638374329},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6193617582321167},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6185351610183716},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6019352078437805},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5459470152854919},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5287582278251648},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5022556781768799},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2891201972961426},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2518889605998993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23467424511909485},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1166599690914154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8425115346908569},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6538755893707275},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6210916638374329},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6193617582321167},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6185351610183716},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6019352078437805},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5459470152854919},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5287582278251648},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5022556781768799},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2891201972961426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2518889605998993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23467424511909485},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1166599690914154},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2023/245","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/245","pdf_url":"https://www.ijcai.org/proceedings/2023/0245.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/245","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/245","pdf_url":"https://www.ijcai.org/proceedings/2023/0245.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2034096557","display_name":null,"funder_award_id":"62172362","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7130633968","display_name":null,"funder_award_id":"No.62172362","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":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385768033.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W104209573","https://openalex.org/W1975172027","https://openalex.org/W1979089718","https://openalex.org/W2114079787","https://openalex.org/W2605350416","https://openalex.org/W2781091734","https://openalex.org/W2808716093","https://openalex.org/W2964691483","https://openalex.org/W2964995401","https://openalex.org/W2971196067","https://openalex.org/W2986176093","https://openalex.org/W3004578093","https://openalex.org/W3028156525","https://openalex.org/W3034606867","https://openalex.org/W3035453001","https://openalex.org/W3047789363","https://openalex.org/W3081410692","https://openalex.org/W3094484861","https://openalex.org/W3100278010","https://openalex.org/W3104353018","https://openalex.org/W3127173367","https://openalex.org/W3142993332","https://openalex.org/W3156963027","https://openalex.org/W3158969156","https://openalex.org/W3169827396","https://openalex.org/W3187977559","https://openalex.org/W3188301284","https://openalex.org/W3190386329","https://openalex.org/W3204468048","https://openalex.org/W3213815372","https://openalex.org/W4220909642","https://openalex.org/W4221030341","https://openalex.org/W4223507406","https://openalex.org/W4226016963","https://openalex.org/W4226072877","https://openalex.org/W4280611174","https://openalex.org/W4283076620","https://openalex.org/W4285762978","https://openalex.org/W4287667155","https://openalex.org/W4297577099","https://openalex.org/W4304080519","https://openalex.org/W4312365202","https://openalex.org/W4313591689","https://openalex.org/W4318186115","https://openalex.org/W4318619660","https://openalex.org/W4320472842"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"With":[0],"the":[1,17,41,51,69,74,116,120,143,156,174],"development":[2],"of":[3],"modern":[4],"internet":[5],"techniques,":[6],"Cross-Domain":[7],"Recommendation":[8,54],"(CDR)":[9],"systems":[10],"have":[11],"been":[12],"widely":[13],"exploited":[14],"for":[15],"tackling":[16],"data-sparsity":[18],"problem.":[19],"Meanwhile":[20],"most":[21],"current":[22],"CDR":[23],"models":[24],"assume":[25],"that":[26,168],"user-item":[27],"interactions":[28],"are":[29,64],"accessible":[30],"across":[31,134],"different":[32,62],"domains.":[33,135],"However,":[34],"such":[35],"knowledge":[36],"sharing":[37],"process":[38],"will":[39],"break":[40],"privacy":[42,70],"protection":[43],"policy.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48,77,145],"focus":[49],"on":[50,164],"Privacy-Preserving":[52],"Multi-Domain":[53],"problem":[55,58],"(PPMDR).":[56],"The":[57,104,123],"is":[59,128],"challenging":[60],"since":[61],"domains":[63],"sparse":[65],"and":[66,95],"heterogeneous":[67],"with":[68,100,158],"protection.":[71],"To":[72,136],"tackle":[73],"above":[75],"issues,":[76],"propose":[78],"Federated":[79],"Probabilistic":[80],"Preference":[81],"Distribution":[82],"Modelling":[83],"(FPPDM).":[84],"FPPDM":[85,152,170],"includes":[86],"two":[87],"main":[88],"components,":[89],"i.e.,":[90],"local":[91,105],"domain":[92,106],"modelling":[93,107],"component":[94,99,108,127],"global":[96,124],"server":[97,125],"aggregation":[98,126],"federated":[101],"learning":[102],"strategy.":[103],"aims":[109],"to":[110,130,154],"exploit":[111],"user/item":[112],"preference":[113],"distributions":[114],"using":[115],"rating":[117],"information":[118,141],"in":[119,151],"corresponding":[121],"domain.":[122],"set":[129],"combine":[131],"user":[132],"characteristics":[133],"better":[137],"extract":[138],"semantic":[139],"neighbors":[140],"among":[142],"users,":[144],"further":[146],"provide":[147],"compactness":[148],"co-clustering":[149],"strategy":[150],"++":[153,171],"cluster":[155],"users":[157],"similar":[159],"characteristics.":[160],"Our":[161],"empirical":[162],"studies":[163],"benchmark":[165],"datasets":[166],"demonstrate":[167],"FPPDM/":[169],"significantly":[172],"outperforms":[173],"state-of-the-art":[175],"models.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":9}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
