{"id":"https://openalex.org/W4415481238","doi":"https://doi.org/10.1109/tce.2025.3624922","title":"A Distributed Robust Out-of-Distribution Consumer Recommendation System Using Diffusion Model","display_name":"A Distributed Robust Out-of-Distribution Consumer Recommendation System Using Diffusion Model","publication_year":2025,"publication_date":"2025-10-23","ids":{"openalex":"https://openalex.org/W4415481238","doi":"https://doi.org/10.1109/tce.2025.3624922"},"language":null,"primary_location":{"id":"doi:10.1109/tce.2025.3624922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3624922","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-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/A5101539801","display_name":"Jiayu Bao","orcid":"https://orcid.org/0009-0004-6690-427X"},"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":"Jiayu Bao","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040192808","display_name":"Hongjian Shi","orcid":"https://orcid.org/0000-0003-0743-7806"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjian Shi","raw_affiliation_strings":["School of Computer Science, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006230459","display_name":"Zhiming Zhou","orcid":"https://orcid.org/0000-0001-8462-4483"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziang Zhou","raw_affiliation_strings":["School of Computer Science, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033408803","display_name":"Shuihuan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiquan Wang","raw_affiliation_strings":["School of Computer Science, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036789442","display_name":"Ruhui Ma","orcid":"https://orcid.org/0000-0001-9592-8490"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruhui Ma","raw_affiliation_strings":["School of Computer Science, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624671","display_name":"Yang Yue","orcid":"https://orcid.org/0009-0009-2926-3596"},"institutions":[{"id":"https://openalex.org/I910623958","display_name":"Bombardier (Canada)","ror":"https://ror.org/03fbkqs26","country_code":"CA","type":"company","lineage":["https://openalex.org/I910623958"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yang Yue","raw_affiliation_strings":["Bombardier NUG Signalling Solutions Company Ltd., Changzhou, Jiangsu, China","Technical director in the Bombardier NUG Signalling Solutions Co., Ltd, Changzhou, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Bombardier NUG Signalling Solutions Company Ltd., Changzhou, Jiangsu, China","institution_ids":["https://openalex.org/I910623958"]},{"raw_affiliation_string":"Technical director in the Bombardier NUG Signalling Solutions Co., Ltd, Changzhou, Jiangsu, China","institution_ids":["https://openalex.org/I910623958"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049798193","display_name":"Zhiwei Song","orcid":"https://orcid.org/0000-0002-3535-5827"},"institutions":[{"id":"https://openalex.org/I890505096","display_name":"Singer (United States)","ror":"https://ror.org/017qqw141","country_code":"US","type":"company","lineage":["https://openalex.org/I890505096"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiwei Song","raw_affiliation_strings":["SingPilot Pte. Ltd., Ayer Rajah Crescent, Singapore","Founder and director of SingPilot Pte. Ltd, Singapore"],"affiliations":[{"raw_affiliation_string":"SingPilot Pte. Ltd., Ayer Rajah Crescent, Singapore","institution_ids":["https://openalex.org/I890505096"]},{"raw_affiliation_string":"Founder and director of SingPilot Pte. Ltd, Singapore","institution_ids":["https://openalex.org/I890505096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049487451","display_name":"Haibing Guan","orcid":"https://orcid.org/0000-0002-4714-7400"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibing Guan","raw_affiliation_strings":["School of Computer Science, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","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":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5101539801"],"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":0.44316369,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"72","issue":"1","first_page":"2255","last_page":"2266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14484","display_name":"Technology and Data Analysis","score":0.8704000115394592,"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/T14484","display_name":"Technology and Data Analysis","score":0.8704000115394592,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.7918000221252441,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.7860000133514404,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6403999924659729},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4991999864578247},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4869000017642975},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.44850000739097595},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41510000824928284},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3962000012397766},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.39570000767707825},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.37770000100135803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7167999744415283},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6403999924659729},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4991999864578247},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4869000017642975},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.44850000739097595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43459999561309814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43140000104904175},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42100000381469727},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41510000824928284},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3962000012397766},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.39570000767707825},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.37770000100135803},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3224000036716461},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.3077000081539154},{"id":"https://openalex.org/C138331895","wikidata":"https://www.wikidata.org/wiki/Q11650","display_name":"Electronics","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C544738498","wikidata":"https://www.wikidata.org/wiki/Q861135","display_name":"Distributed generation","level":3,"score":0.29089999198913574},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.2572999894618988}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2025.3624922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3624922","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2116341502","https://openalex.org/W2605350416","https://openalex.org/W2976467076","https://openalex.org/W3013338555","https://openalex.org/W3045200674","https://openalex.org/W3094605801","https://openalex.org/W3146366485","https://openalex.org/W4212835176","https://openalex.org/W4220806694","https://openalex.org/W4224308683","https://openalex.org/W4284666445","https://openalex.org/W4288066793","https://openalex.org/W4290944323","https://openalex.org/W4320830010","https://openalex.org/W4366273490","https://openalex.org/W4379539462","https://openalex.org/W4384644461","https://openalex.org/W4385567536","https://openalex.org/W4389714157","https://openalex.org/W4391103444","https://openalex.org/W4392384521","https://openalex.org/W4392864387","https://openalex.org/W4392940314","https://openalex.org/W4392948282","https://openalex.org/W4396594805","https://openalex.org/W4396735686","https://openalex.org/W4396757484","https://openalex.org/W4401090676","https://openalex.org/W4401544324","https://openalex.org/W4403577793","https://openalex.org/W4406089761","https://openalex.org/W4407385792","https://openalex.org/W4408024519","https://openalex.org/W4408441345","https://openalex.org/W4411173321","https://openalex.org/W4413739188"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,14,61,79,95,102,151,162,168,175,180],"continuous":[2],"development":[3],"and":[4,28,34,48,142],"widespread":[5],"application":[6],"of":[7,16,21,63,170,182],"consumer":[8,17],"electronic":[9],"products,":[10],"intelligent":[11],"generation":[12,51],"in":[13,60,101,150,161,174],"field":[15],"electronics":[18],"is":[19],"capable":[20],"generating":[22],"content":[23],"based":[24],"on":[25,189],"user":[26,36],"preferences":[27],"behaviors,":[29],"providing":[30],"a":[31,56,122,140],"more":[32],"thoughtful":[33],"boundary-pushing":[35],"experience.":[37],"Diffusion":[38],"models,":[39],"owing":[40],"to":[41,78,86,116,129,146,166],"their":[42],"powerful":[43],"data":[44],"distribution":[45,81,195],"modeling":[46],"capabilities":[47],"high-quality":[49],"project":[50],"abilities,":[52],"have":[53],"emerged":[54],"as":[55],"potential":[57],"study":[58],"avenue":[59],"domain":[62],"recommendation":[64,68],"systems.":[65],"Currently,":[66],"graph-based":[67],"methods":[69],"using":[70],"distributionally":[71],"robust":[72,125],"optimization":[73],"(DRO)":[74],"assign":[75],"greater":[76],"weight":[77],"noise":[80,148],"during":[82],"training,":[83],"which":[84],"leads":[85],"model":[87,96,127],"parameter":[88],"learning":[89],"being":[90],"dominated":[91],"by":[92],"noise.":[93],"When":[94],"overemphasizes":[97],"fitting":[98],"noisy":[99],"samples":[100],"training":[103],"data,":[104],"it":[105],"may":[106],"learn":[107],"irrelevant":[108],"or":[109],"meaningless":[110],"features":[111],"that":[112],"do":[113],"not":[114],"generalize":[115],"out-of-distribution":[117],"(OOD)":[118],"data.":[119],"We":[120],"propose":[121],"diffusion-based":[123],"distributed":[124],"graph":[126],"(DiffDRG)":[128],"tackle":[130],"this":[131],"issue":[132],"for":[133],"ood":[134],"recommendations.":[135],"Our":[136],"solution":[137],"initially":[138],"employs":[139],"straightforward":[141],"efficient":[143],"diffusion":[144],"paradigm":[145],"alleviate":[147],"effects":[149],"latent":[152],"space.":[153],"Additionally,":[154],"we":[155,185],"introduce":[156],"an":[157],"entropy":[158],"regularization":[159],"term":[160],"DRO":[163],"objective":[164],"function":[165],"avoid":[167],"appearance":[169],"extreme":[171],"sample":[172],"weights":[173],"worst-case":[176],"distribution.":[177],"To":[178],"assess":[179],"efficacy":[181],"our":[183],"system,":[184],"perform":[186],"comprehensive":[187],"experiments":[188],"three":[190],"datasets":[191],"across":[192],"two":[193],"common":[194],"shift":[196],"scenarios.":[197]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-23T00:00:00"}
