{"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":"2015-10-01","ids":{"openalex":"https://openalex.org/W2073117103","doi":"https://doi.org/10.1109/jstsp.2015.2426677","mag":"2073117103"},"language":"en","primary_location":{"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":["1941-0484","1932-4553"],"is_oa":false,"is_in_doaj":false,"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,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","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/I1289702989","https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Zou","raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"]},{"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/I1289702989","https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Faramarz Fekri","raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"]}],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":13,"cited_by_percentile_year":{"min":89,"max":90},"biblio":{"volume":"9","issue":"7","first_page":"1306","last_page":"1318"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender System Technologies","score":0.9998,"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 System Technologies","score":0.9998,"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 Techniques for Data Analysis and Machine Learning","score":0.9979,"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/T11478","display_name":"Content-Centric Networking for Information Delivery","score":0.9718,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"keyword":"belief propagation approach","score":0.5834},{"keyword":"privacy-preserving","score":0.25},{"keyword":"item-based","score":0.25}],"concepts":[{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.9106114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.85206383},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8335755},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.71258193},{"id":"https://openalex.org/C159246509","wikidata":"https://www.wikidata.org/wiki/Q5428725","display_name":"Factor graph","level":3,"score":0.56283295},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.5393841},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5366442},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.50739473},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.49992037},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.46082556},{"id":"https://openalex.org/C169093310","wikidata":"https://www.wikidata.org/wiki/Q3702971","display_name":"Personally identifiable information","level":2,"score":0.45606127},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.45090336},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.43069702},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42487383},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3727538},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35244596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3321435},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26641524},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.13356236},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09864387},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09630081},{"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":[{"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":["1941-0484","1932-4553"],"is_oa":false,"is_in_doaj":false,"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,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation","award_id":"IIS-1115199"}],"referenced_works_count":28,"referenced_works":["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/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/W2137351756","https://openalex.org/W2137813581","https://openalex.org/W2138272709","https://openalex.org/W2138941041","https://openalex.org/W2149778463","https://openalex.org/W2155106456","https://openalex.org/W2159094788","https://openalex.org/W2159196732","https://openalex.org/W2166939545","https://openalex.org/W2169101582","https://openalex.org/W2171960770"],"related_works":["https://openalex.org/W2355698112","https://openalex.org/W2797500822","https://openalex.org/W2022984797","https://openalex.org/W4205822456","https://openalex.org/W4299358966","https://openalex.org/W2537367858","https://openalex.org/W2981634480","https://openalex.org/W2188396403","https://openalex.org/W2368078825","https://openalex.org/W2986679525"],"ngrams_url":"https://api.openalex.org/works/W2073117103/ngrams","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]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2073117103","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2024-03-02T19:21:42.926624","created_date":"2016-06-24"}