{"id":"https://openalex.org/W4416250200","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227219","title":"PrivRec: Privacy-Preserving Cross-Domain Recommendation with Enhanced Learning Strategies","display_name":"PrivRec: Privacy-Preserving Cross-Domain Recommendation with Enhanced Learning Strategies","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250200","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227219"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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/A5014235234","display_name":"Feng Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Yu","raw_affiliation_strings":["Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066675534","display_name":"Yuan Liu","orcid":"https://orcid.org/0000-0002-2576-1426"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Liu","raw_affiliation_strings":["Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041344406","display_name":"Yicheng Di","orcid":"https://orcid.org/0000-0003-3802-2080"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yicheng Di","raw_affiliation_strings":["Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102293070","display_name":"Xue Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Wang","raw_affiliation_strings":["Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031735196","display_name":"Yue Fang","orcid":"https://orcid.org/0000-0001-9934-2016"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Fang","raw_affiliation_strings":["Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014235234"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.49436024,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.46889999508857727,"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":0.46889999508857727,"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":0.21459999680519104,"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":0.10140000283718109,"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/confidentiality","display_name":"Confidentiality","score":0.6154999732971191},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.6057999730110168},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5911999940872192},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5170999765396118},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4903999865055084},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4749000072479248},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.42149999737739563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7876999974250793},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.6154999732971191},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.6057999730110168},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5911999940872192},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5170999765396118},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4903999865055084},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4749000072479248},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.42149999737739563},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4162999987602234},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4072999954223633},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.3896999955177307},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2685999870300293},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.26600000262260437},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C10511746","wikidata":"https://www.wikidata.org/wiki/Q899388","display_name":"Data security","level":3,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W3131331144","https://openalex.org/W4213230534","https://openalex.org/W4293581639","https://openalex.org/W4321480025","https://openalex.org/W4362465916","https://openalex.org/W4376639623","https://openalex.org/W4378348534","https://openalex.org/W4381786098","https://openalex.org/W4385187849","https://openalex.org/W4385438756","https://openalex.org/W4385567578","https://openalex.org/W4385650719","https://openalex.org/W4391558404","https://openalex.org/W4392309180","https://openalex.org/W4396516871","https://openalex.org/W4399671530","https://openalex.org/W4399776167","https://openalex.org/W4401090676","https://openalex.org/W4401544324","https://openalex.org/W4402140366"],"related_works":[],"abstract_inverted_index":{"Cross-domain":[0],"recommendation":[1,15,60,83,95,207,233],"seeks":[2],"to":[3,9,46,109,132,150,166],"utilize":[4,144],"insights":[5],"from":[6,115],"several":[7,158],"domains":[8],"mitigate":[10],"prevalent":[11],"challenges":[12],"in":[13,59,214],"conventional":[14],"systems,":[16,61],"including":[17,195],"data":[18,56,100,114],"sparsity":[19],"and":[20,72,93,111,136,198,216],"cold-start":[21],"concerns.":[22],"Previous":[23],"research":[24,53],"has":[25],"primarily":[26],"focused":[27],"on":[28,192],"recommendations":[29],"within":[30],"the":[31,63,116,121,124,134,152,168,187,229],"same":[32],"domain":[33],"or":[34],"across":[35,157],"different":[36],"domains,":[37],"but":[38,97],"real-world":[39,193],"scenarios":[40,96],"often":[41],"require":[42],"addressing":[43],"both":[44,91],"simultaneously":[45],"meet":[47],"practical":[48],"needs.":[49],"Moreover,":[50],"most":[51],"current":[52],"rarely":[54],"addresses":[55,90],"security":[57,135],"concerns":[58],"complicating":[62],"achievement":[64],"of":[65,123,138,154,231],"a":[66,80,128,163,211,239],"balance":[67],"between":[68],"optimal":[69],"suggestion":[70],"efficacy":[71],"privacy":[73,130,222,236],"safeguarding.":[74],"In":[75,141],"this":[76],"paper,":[77],"we":[78,103,143,161],"propose":[79],"novel":[81],"cross-domain":[82,232],"framework":[84],"named":[85],"PrivRec,":[86],"which":[87,180],"not":[88,183],"only":[89],"single-domain":[92],"multi-domain":[94],"also":[98],"emphasizes":[99],"security.":[101],"First,":[102],"employ":[104],"an":[105,145],"anomaly":[106],"detection":[107],"module":[108],"detect":[110],"remove":[112],"abnormal":[113],"interaction":[117,170],"data,":[118],"thereby":[119,185],"enhancing":[120,228],"reliability":[122],"data.":[125,140],"We":[126],"implement":[127],"differential":[129],"mechanism":[131,165],"strengthen":[133],"confidentiality":[137],"user":[139,155],"addition,":[142],"innovative":[146],"contrastive":[147],"loss":[148],"function":[149],"improve":[151],"learning":[153],"preferences":[156],"domains.":[159],"Furthermore,":[160],"introduced":[162],"masking":[164],"replace":[167],"traditional":[169],"mask,":[171],"generating":[172],"negative":[173],"samples":[174],"by":[175],"randomly":[176],"selecting":[177],"items":[178],"with":[179],"users":[181],"have":[182],"interacted,":[184],"enriching":[186],"training":[188],"dataset.":[189],"Experiments":[190],"conducted":[191],"datasets,":[194],"Douban,":[196],"Amazon,":[197],"Industry,":[199],"demonstrate":[200],"that":[201,227],"our":[202],"proposed":[203],"strategy":[204],"markedly":[205],"enhances":[206],"accuracy,":[208],"achieving":[209],"approximately":[210],"3.67%":[212],"improvement":[213],"HR@10":[215],"NDCG@10":[217],"metrics":[218],"while":[219],"maintaining":[220],"strong":[221],"protection.":[223],"These":[224],"findings":[225],"suggest":[226],"effectiveness":[230],"systems":[234],"under":[235],"constraints":[237],"is":[238],"promising":[240],"direction":[241],"for":[242],"future":[243],"research.":[244]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}