{"id":"https://openalex.org/W2073117103","doi":"https://doi.org/10.1109/jstsp.2015.2426677","title":"A Belief Propagation Approach to Privacy-Preserving Item-Based Collaborative Filtering","display_name":"A Belief Propagation Approach to Privacy-Preserving Item-Based Collaborative Filtering","publication_year":2015,"publication_date":"2015-04-27","ids":{"openalex":"https://openalex.org/W2073117103","doi":"https://doi.org/10.1109/jstsp.2015.2426677","mag":"2073117103"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2015.2426677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2015.2426677","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","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/A5065432201","display_name":"Jun Zou","orcid":"https://orcid.org/0000-0002-5395-6052"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jun Zou","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","[School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA]"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"[School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA]","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083854532","display_name":"Faramarz Fekri","orcid":"https://orcid.org/0000-0001-5008-8803"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Faramarz Fekri","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","[School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA]"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"[School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA]","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065432201"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":4.7676,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.95020876,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":"7","first_page":"1306","last_page":"1318"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9984999895095825,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.965499997138977,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/movielens","display_name":"MovieLens","score":0.9018274545669556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8547041416168213},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.8256808519363403},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7113333940505981},{"id":"https://openalex.org/keywords/factor-graph","display_name":"Factor graph","score":0.5640642642974854},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5485204458236694},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.5240207314491272},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5234198570251465},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.49413397908210754},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4688815772533417},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.45141059160232544},{"id":"https://openalex.org/keywords/personally-identifiable-information","display_name":"Personally identifiable information","score":0.4495653808116913},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4397233724594116},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42861711978912354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3642396628856659},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33891892433166504},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25589221715927124},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.13154450058937073},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11232081055641174},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09577000141143799}],"concepts":[{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.9018274545669556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8547041416168213},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8256808519363403},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7113333940505981},{"id":"https://openalex.org/C159246509","wikidata":"https://www.wikidata.org/wiki/Q5428725","display_name":"Factor graph","level":3,"score":0.5640642642974854},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5485204458236694},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.5240207314491272},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5234198570251465},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.49413397908210754},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4688815772533417},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.45141059160232544},{"id":"https://openalex.org/C169093310","wikidata":"https://www.wikidata.org/wiki/Q3702971","display_name":"Personally identifiable information","level":2,"score":0.4495653808116913},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4397233724594116},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42861711978912354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3642396628856659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33891892433166504},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25589221715927124},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.13154450058937073},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11232081055641174},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09577000141143799},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstsp.2015.2426677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2015.2426677","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2033072546","display_name":null,"funder_award_id":"IIS-1115199","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1525888637","https://openalex.org/W1981631259","https://openalex.org/W2011712747","https://openalex.org/W2020480318","https://openalex.org/W2022097286","https://openalex.org/W2035430439","https://openalex.org/W2039866285","https://openalex.org/W2042281163","https://openalex.org/W2048407661","https://openalex.org/W2051199128","https://openalex.org/W2054701320","https://openalex.org/W2064540034","https://openalex.org/W2073518383","https://openalex.org/W2079372328","https://openalex.org/W2102357195","https://openalex.org/W2109134141","https://openalex.org/W2121227816","https://openalex.org/W2122915930","https://openalex.org/W2124558600","https://openalex.org/W2135930857","https://openalex.org/W2137351756","https://openalex.org/W2137813581","https://openalex.org/W2138272709","https://openalex.org/W2138941041","https://openalex.org/W2149778463","https://openalex.org/W2155106456","https://openalex.org/W2156605731","https://openalex.org/W2159080219","https://openalex.org/W2159094788","https://openalex.org/W2159196732","https://openalex.org/W2166939545","https://openalex.org/W2167094273","https://openalex.org/W2169101582","https://openalex.org/W2171960770","https://openalex.org/W2295270639","https://openalex.org/W6631424144","https://openalex.org/W6680267248","https://openalex.org/W6683198124","https://openalex.org/W6684544074"],"related_works":["https://openalex.org/W2355698112","https://openalex.org/W2022984797","https://openalex.org/W4394818607","https://openalex.org/W2986679525","https://openalex.org/W2797500822","https://openalex.org/W4299358966","https://openalex.org/W2794458286","https://openalex.org/W4205822456","https://openalex.org/W2537367858","https://openalex.org/W4288082747"],"abstract_inverted_index":{"Collaborative":[0],"filtering":[1],"(CF)":[2],"is":[3],"the":[4,11,26,44,78,88,98,107,120,132,150,153,167,171,177,183],"most":[5],"popular":[6],"recommendation":[7],"algorithm,":[8],"which":[9,91],"exploits":[10],"collected":[12],"historic":[13],"user":[14,48,104,111,172],"ratings":[15,49,105],"to":[16,33,39,53,69,106,130],"predict":[17],"unknown":[18],"ratings.":[19],"However,":[20],"traditional":[21],"recommender":[22,73],"systems":[23],"run":[24],"at":[25,170],"central":[27],"servers,":[28],"and":[29],"thus":[30],"users":[31,140],"have":[32],"disclose":[34],"their":[35],"personal":[36,56],"rating":[37],"data":[38],"other":[40,110],"parties.":[41],"This":[42],"raises":[43],"privacy":[45,151],"issue,":[46],"as":[47,82],"can":[50,92],"be":[51,93],"used":[52],"reveal":[54],"sensitive":[55],"information.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61,76,113,180],"propose":[62,125,162],"a":[63,83,116,126,137,157,163],"semi-distributed":[64,117,154],"belief":[65],"propagation":[66],"(BP)":[67],"approach":[68],"privacy-preserving":[70],"item-based":[71],"CF":[72],"systems.":[74],"Firstly,":[75],"formulate":[77],"item":[79],"similarity":[80],"computation":[81],"probabilistic":[84],"inference":[85],"problem":[86],"on":[87,176],"factor":[89],"graph,":[90],"efficiently":[94],"solved":[95],"by":[96],"applying":[97],"BP":[99,121,128,143,155],"algorithm.":[100,122],"To":[101],"avoid":[102],"disclosing":[103],"server":[108],"or":[109],"peers,":[112],"then":[114],"introduce":[115],"architecture":[118],"for":[119],"We":[123,148,160],"further":[124],"cascaded":[127],"scheme":[129],"address":[131],"practical":[133],"issue":[134],"that":[135,165,182],"only":[136],"subset":[138],"of":[139,152],"participate":[141],"in":[142],"during":[144],"one":[145],"time":[146],"slot.":[147],"analyze":[149],"from":[156],"information-theoretic":[158],"perspective.":[159],"also":[161],"method":[164],"reduces":[166],"computational":[168],"complexity":[169],"side.":[173],"Through":[174],"experiments":[175],"MovieLens":[178],"dataset,":[179],"show":[181],"proposed":[184],"algorithm":[185],"achieves":[186],"superior":[187],"accuracy.":[188]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}