{"id":"https://openalex.org/W4405896345","doi":"https://doi.org/10.1007/s40747-024-01758-9","title":"FSPPCFs: a privacy-preserving collaborative filtering recommendation scheme based on fuzzy C-means and Shapley value","display_name":"FSPPCFs: a privacy-preserving collaborative filtering recommendation scheme based on fuzzy C-means and Shapley value","publication_year":2024,"publication_date":"2024-12-30","ids":{"openalex":"https://openalex.org/W4405896345","doi":"https://doi.org/10.1007/s40747-024-01758-9"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01758-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01758-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01758-9.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01758-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044820938","display_name":"Weiwei Wang","orcid":"https://orcid.org/0000-0002-2319-3824"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiwei Wang","raw_affiliation_strings":["School of Telecommunication Engineering, Xidian University, Xi\u2019an, 710071, China","School of Telecommunication Engineering, Xidian University, Xi'an, 710071, China"],"affiliations":[{"raw_affiliation_string":"School of Telecommunication Engineering, Xidian University, Xi\u2019an, 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Telecommunication Engineering, Xidian University, Xi'an, 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101843363","display_name":"Wenping Ma","orcid":"https://orcid.org/0000-0001-6569-3029"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenping Ma","raw_affiliation_strings":["School of Telecommunication Engineering, Xidian University, Xi\u2019an, 710071, China","School of Telecommunication Engineering, Xidian University, Xi'an, 710071, China"],"affiliations":[{"raw_affiliation_string":"School of Telecommunication Engineering, Xidian University, Xi\u2019an, 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Telecommunication Engineering, Xidian University, Xi'an, 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091252112","display_name":"Kun Yan","orcid":"https://orcid.org/0000-0002-3619-8966"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Yan","raw_affiliation_strings":["School of Telecommunication Engineering, Xidian University, Xi\u2019an, 710071, China","School of Telecommunication Engineering, Xidian University, Xi'an, 710071, China"],"affiliations":[{"raw_affiliation_string":"School of Telecommunication Engineering, Xidian University, Xi\u2019an, 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Telecommunication Engineering, Xidian University, Xi'an, 710071, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044820938"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.5269,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88482154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9973999857902527,"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":0.9973999857902527,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9789000153541565,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.8098087310791016},{"id":"https://openalex.org/keywords/shapley-value","display_name":"Shapley value","score":0.7417100071907043},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.693577766418457},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6761376857757568},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6073095798492432},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48718780279159546},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.46554267406463623},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4558008313179016},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39075690507888794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28245049715042114},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.1708621084690094},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.15960973501205444},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11903053522109985},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.08541616797447205},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.05235910415649414}],"concepts":[{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.8098087310791016},{"id":"https://openalex.org/C199022921","wikidata":"https://www.wikidata.org/wiki/Q240046","display_name":"Shapley value","level":3,"score":0.7417100071907043},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.693577766418457},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6761376857757568},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6073095798492432},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48718780279159546},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.46554267406463623},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4558008313179016},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39075690507888794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28245049715042114},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.1708621084690094},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.15960973501205444},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11903053522109985},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.08541616797447205},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.05235910415649414}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01758-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01758-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01758-9.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fe6406e02fd545b89f5ad44a54933b5e","is_oa":true,"landing_page_url":"https://doaj.org/article/fe6406e02fd545b89f5ad44a54933b5e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-18 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01758-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01758-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01758-9.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2349780259","display_name":null,"funder_award_id":"2022ZDLGY03-08","funder_id":"https://openalex.org/F4320327224","funder_display_name":"Shaanxi Provincial Science and Technology Department"}],"funders":[{"id":"https://openalex.org/F4320327224","display_name":"Shaanxi Provincial Science and Technology Department","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405896345.pdf","grobid_xml":"https://content.openalex.org/works/W4405896345.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1965757506","https://openalex.org/W1995450389","https://openalex.org/W2028794308","https://openalex.org/W2052966526","https://openalex.org/W2092780433","https://openalex.org/W2144734663","https://openalex.org/W2317052057","https://openalex.org/W2386126672","https://openalex.org/W2605814604","https://openalex.org/W2741124718","https://openalex.org/W2786010338","https://openalex.org/W2807665133","https://openalex.org/W2811423811","https://openalex.org/W2913944817","https://openalex.org/W2923583643","https://openalex.org/W2952988307","https://openalex.org/W2969915818","https://openalex.org/W2981958829","https://openalex.org/W2999851651","https://openalex.org/W3037946710","https://openalex.org/W3048705786","https://openalex.org/W3082134430","https://openalex.org/W3092848814","https://openalex.org/W3097904695","https://openalex.org/W3108669106","https://openalex.org/W3139206052","https://openalex.org/W3163509816","https://openalex.org/W3196459455","https://openalex.org/W3200718722","https://openalex.org/W3204274719","https://openalex.org/W4205228770","https://openalex.org/W4293159253","https://openalex.org/W4293255303","https://openalex.org/W4312645881","https://openalex.org/W4319663638","https://openalex.org/W4366977848","https://openalex.org/W4386162360","https://openalex.org/W4387441942","https://openalex.org/W4387452262","https://openalex.org/W4387882423","https://openalex.org/W4390476589","https://openalex.org/W4391721457","https://openalex.org/W4394065292","https://openalex.org/W4396597340","https://openalex.org/W4396967503","https://openalex.org/W4398131439","https://openalex.org/W4399801293","https://openalex.org/W4401634038","https://openalex.org/W6820460620"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"Collaborative":[0],"filtering":[1,72],"recommendation":[2,6,26,57,73,87,100,115],"systems":[3,27],"generate":[4],"personalized":[5],"results":[7,183],"by":[8,102],"analyzing":[9],"and":[10,56,79,128,136],"collaboratively":[11],"processing":[12],"a":[13,65,104],"large":[14],"numerous":[15],"of":[16,25,35],"user":[17,54],"ratings":[18],"or":[19],"behavior":[20],"data.":[21],"The":[22],"widespread":[23],"use":[24],"in":[28],"daily":[29],"decision-making":[30],"also":[31],"brings":[32],"potential":[33],"risks":[34],"privacy":[36,43,46,55,91,152,160],"leakage.":[37],"Recent":[38],"literature":[39],"predominantly":[40],"employs":[41],"differential":[42,151,180],"to":[44,52,84,155],"achieve":[45,156],"protection,":[47],"however,":[48],"many":[49],"schemes":[50],"struggle":[51],"balance":[53,106],"performance":[58,88],"effectively.":[59],"In":[60],"this":[61],"work,":[62],"we":[63,95],"present":[64],"practical":[66],"privacy-preserving":[67],"scheme":[68,101,178,187],"for":[69,148],"user-based":[70],"collaborative":[71],"that":[74,176,185],"utilizes":[75],"fuzzy":[76,125],"C-means":[77,126],"clustering":[78,127],"Shapley":[80,129],"value,":[81,130],"FSPPCFs,":[82],"aiming":[83],"enhance":[85],"the":[86,98,110,122,139,157,164,168],"while":[89],"ensuring":[90],"protection.":[92],"Specifically,":[93],"(i)":[94],"have":[96],"modified":[97],"traditional":[99],"introducing":[103],"similarity":[105,112],"factor":[107],"integrated":[108],"into":[109,138],"Pearson":[111],"algorithm,":[113],"enhancing":[114],"system":[116],"performance;":[117],"(ii)":[118],"FSPPCFs":[119],"first":[120],"clusters":[121],"dataset":[123],"through":[124],"grouping":[131],"users":[132],"with":[133],"similar":[134],"interests":[135],"attributes":[137],"same":[140],"cluster,":[141],"thereby":[142],"providing":[143],"more":[144],"accurate":[145],"data":[146],"support":[147],"recommendations.":[149],"Then,":[150],"is":[153,173],"used":[154],"user\u2019s":[158],"personal":[159],"protection":[161],"when":[162],"selecting":[163],"neighbor":[165],"set":[166],"from":[167],"target":[169],"cluster.":[170],"Finally,":[171],"it":[172],"theoretically":[174],"proved":[175],"our":[177,186],"satisfies":[179],"privacy.":[181],"Experimental":[182],"illustrate":[184],"significantly":[188],"outperforms":[189],"existing":[190],"methods.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
