{"id":"https://openalex.org/W4414758273","doi":"https://doi.org/10.1109/tce.2025.3617423","title":"Structure-Preserving Counterfactual Regression for Personalized Consumer-Electronics Service Networks","display_name":"Structure-Preserving Counterfactual Regression for Personalized Consumer-Electronics Service Networks","publication_year":2025,"publication_date":"2025-10-02","ids":{"openalex":"https://openalex.org/W4414758273","doi":"https://doi.org/10.1109/tce.2025.3617423"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2025.3617423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3617423","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/A5088784958","display_name":"Fan Wang","orcid":"https://orcid.org/0000-0002-0953-6923"},"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":"Fan Wang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","College of Computer Science and Technology, Zhejiang University, China"],"raw_orcid":"https://orcid.org/0000-0002-0953-6923","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","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":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","College of Computer Science and Technology, Zhejiang University, China"],"raw_orcid":"https://orcid.org/0000-0002-4115-7667","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, 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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaochao Chen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","College of Computer Science and Technology, Zhejiang University, China"],"raw_orcid":"https://orcid.org/0000-0003-1419-964X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119819093","display_name":"Renwu Geng","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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renwu Geng","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","College of Computer Science and Technology, Zhejiang University, China"],"raw_orcid":"https://orcid.org/0009-0001-7287-0086","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006514077","display_name":"Lianyong Qi","orcid":"https://orcid.org/0000-0001-9875-9856"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianyong Qi","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China","College of Computer Science and Technology, China University of Petroleum (East China), China"],"raw_orcid":"https://orcid.org/0000-0001-9875-9856","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074603286","display_name":"Xiaolin Zheng","orcid":"https://orcid.org/0000-0001-5483-0366"},"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":"Xiaolin Zheng","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","College of Computer Science and Technology, Zhejiang University, China"],"raw_orcid":"https://orcid.org/0000-0001-5483-0366","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, China","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.6361,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72071442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"71","issue":"4","first_page":"12276","last_page":"12287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.8805000185966492,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.8805000185966492,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.7195000052452087},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.6703000068664551},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5963000059127808},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5342000126838684},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49880000948905945},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.49129998683929443},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.48500001430511475},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.45660001039505005}],"concepts":[{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.7195000052452087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7045999765396118},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.6703000068664551},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5963000059127808},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.583299994468689},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5342000126838684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5231999754905701},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49880000948905945},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.49129998683929443},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.48500001430511475},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.45660001039505005},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.4560000002384186},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4499000012874603},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4406999945640564},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.42160001397132874},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3587000072002411},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.2994999885559082},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.2680000066757202}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2025.3617423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3617423","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":[{"id":"https://openalex.org/G7640199613","display_name":null,"funder_award_id":"2022YFF0902700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W2013603106","https://openalex.org/W2027842533","https://openalex.org/W2132917208","https://openalex.org/W2150291618","https://openalex.org/W2463468632","https://openalex.org/W2518990988","https://openalex.org/W2530869753","https://openalex.org/W2624816748","https://openalex.org/W2739883206","https://openalex.org/W2755969194","https://openalex.org/W2799291336","https://openalex.org/W2900510321","https://openalex.org/W2906159207","https://openalex.org/W2912745432","https://openalex.org/W2931335216","https://openalex.org/W2946362479","https://openalex.org/W2963382930","https://openalex.org/W2979437960","https://openalex.org/W2996457415","https://openalex.org/W2998089494","https://openalex.org/W3004189897","https://openalex.org/W3009330671","https://openalex.org/W3035378062","https://openalex.org/W3121380333","https://openalex.org/W3210790495","https://openalex.org/W4221101570","https://openalex.org/W4225586447","https://openalex.org/W4244393449","https://openalex.org/W4311415873","https://openalex.org/W4362563552","https://openalex.org/W4386041615","https://openalex.org/W4387303325","https://openalex.org/W4387969495","https://openalex.org/W4388756760","https://openalex.org/W4389298228","https://openalex.org/W4389791174","https://openalex.org/W4390204962","https://openalex.org/W4390659346","https://openalex.org/W4391249099","https://openalex.org/W4391311259","https://openalex.org/W4391936064","https://openalex.org/W4393405392","https://openalex.org/W4394994357","https://openalex.org/W4396506525","https://openalex.org/W4401863442","https://openalex.org/W4401879041","https://openalex.org/W4403294788","https://openalex.org/W4404035160","https://openalex.org/W4405179595","https://openalex.org/W4405934987","https://openalex.org/W4406890294","https://openalex.org/W4408188391","https://openalex.org/W4409474257","https://openalex.org/W4410114739","https://openalex.org/W4412030713","https://openalex.org/W4412947635"],"related_works":[],"abstract_inverted_index":{"Smart":[0],"wearable":[1,57,94],"devices":[2],"increasingly":[3],"form":[4],"interconnected":[5],"causal":[6,76,95,114,149],"service":[7,58,77,96,152],"networks":[8,59],"to":[9,16,144],"deliver":[10],"personalized":[11,75],"service-based":[12],"health":[13,19],"interventions,":[14],"aiming":[15],"improve":[17],"individual":[18],"outcomes.":[20],"Most":[21],"studies":[22],"on":[23,133],"Individual":[24],"Treatment":[25],"Effect":[26],"(ITE)":[27],"estimation":[28],"in":[29,55,148],"this":[30,80],"context":[31],"tackle":[32],"treatment":[33],"selection":[34],"bias":[35],"by":[36],"minimizing":[37],"the":[38,72],"distributional":[39],"discrepancy":[40],"between":[41,126],"control":[42],"and":[43,67,100,117,128],"treated":[44],"groups":[45],"using":[46],"representation":[47,127],"learning":[48],"frameworks.":[49],"However,":[50],"structural":[51,102],"relationships":[52],"among":[53],"users":[54],"smart":[56,93],"are":[60],"often":[61],"inadequately":[62],"preserved":[63],"during":[64],"distribution":[65,115],"alignment":[66,116],"model":[68],"learning,":[69],"potentially":[70],"reducing":[71],"accuracy":[73],"of":[74],"interventions.":[78],"In":[79],"paper,":[81],"we":[82],"propose":[83],"IC-CFR,":[84],"a":[85,118],"novel":[86],"Counterfactual":[87],"Regression":[88],"approach":[89],"explicitly":[90],"designed":[91],"for":[92,111,151],"scenarios,":[97],"preserving":[98],"intra-graph":[99,107],"cross-graph":[101,119],"information.":[103],"IC-CFR":[104],"introduces":[105],"an":[106],"structure":[108,120],"regularizer":[109,121],"(IGR)":[110],"structurally":[112],"consistent":[113],"(CGR)":[122],"that":[123],"maintains":[124],"consistency":[125],"covariate":[129],"spaces.":[130],"Extensive":[131],"experiments":[132],"three":[134],"widely":[135],"used":[136],"benchmark":[137],"datasets":[138],"demonstrate":[139],"IC-CFR\u2019s":[140],"superior":[141],"effectiveness":[142],"compared":[143],"existing":[145],"state-of-the-art":[146],"methods":[147],"inference":[150],"networks.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}