{"id":"https://openalex.org/W2914969866","doi":"https://doi.org/10.1109/bigdata.2018.8622081","title":"Privacy-Preserving User Profiling with Facebook Likes","display_name":"Privacy-Preserving User Profiling with Facebook Likes","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2914969866","doi":"https://doi.org/10.1109/bigdata.2018.8622081","mag":"2914969866"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8622081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-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/A5071497292","display_name":"Sanchya Bhagat","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150356","display_name":"University of Washington Tacoma","ror":"https://ror.org/05n8t2628","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210150356"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sanchya Bhagat","raw_affiliation_strings":["School of Engineering and Technology, University of Washington, Tacoma, USA"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Technology, University of Washington, Tacoma, USA","institution_ids":["https://openalex.org/I4210150356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018313322","display_name":"Keerthanaa Saminathan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150356","display_name":"University of Washington Tacoma","ror":"https://ror.org/05n8t2628","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210150356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keerthanaa Saminathan","raw_affiliation_strings":["School of Engineering and Technology, University of Washington, Tacoma, USA"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Technology, University of Washington, Tacoma, USA","institution_ids":["https://openalex.org/I4210150356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025842983","display_name":"Anisha Agarwal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150356","display_name":"University of Washington Tacoma","ror":"https://ror.org/05n8t2628","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210150356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anisha Agarwal","raw_affiliation_strings":["School of Engineering and Technology, University of Washington, Tacoma, USA"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Technology, University of Washington, Tacoma, USA","institution_ids":["https://openalex.org/I4210150356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014034048","display_name":"Rafael Dowsley","orcid":"https://orcid.org/0000-0002-7588-2410"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Rafael Dowsley","raw_affiliation_strings":["Dept. of Computer Science, Aarhus University, Aarhus, Denmark"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Aarhus University, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056749857","display_name":"Martine De Cock","orcid":"https://orcid.org/0000-0001-7917-0771"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Martine De Cock","raw_affiliation_strings":["Dept. of Applied Math., Comp. Sc. and Statistics, Ghent University"],"affiliations":[{"raw_affiliation_string":"Dept. of Applied Math., Comp. Sc. and Statistics, Ghent University","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070505291","display_name":"Anderson C. A. Nascimento","orcid":"https://orcid.org/0000-0002-8298-6250"},"institutions":[{"id":"https://openalex.org/I4210150356","display_name":"University of Washington Tacoma","ror":"https://ror.org/05n8t2628","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210150356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anderson Nascimento","raw_affiliation_strings":["School of Engineering and Technology, University of Washington, Tacoma, USA"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Technology, University of Washington, Tacoma, USA","institution_ids":["https://openalex.org/I4210150356"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5071497292"],"corresponding_institution_ids":["https://openalex.org/I4210150356"],"apc_list":null,"apc_paid":null,"fwci":0.3385,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70878286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"112","issue":null,"first_page":"5298","last_page":"5299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9970999956130981,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.8068451881408691},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.7439615726470947},{"id":"https://openalex.org/keywords/scrutiny","display_name":"Scrutiny","score":0.7125120162963867},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6775981783866882},{"id":"https://openalex.org/keywords/targeted-advertising","display_name":"Targeted advertising","score":0.6605473160743713},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6062444448471069},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6041072607040405},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.5515630841255188},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5310291051864624},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.48522448539733887},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.42483535408973694},{"id":"https://openalex.org/keywords/personally-identifiable-information","display_name":"Personally identifiable information","score":0.4138137102127075},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37342318892478943},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.21947994828224182}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8068451881408691},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.7439615726470947},{"id":"https://openalex.org/C2776050585","wikidata":"https://www.wikidata.org/wiki/Q7439360","display_name":"Scrutiny","level":2,"score":0.7125120162963867},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6775981783866882},{"id":"https://openalex.org/C2777459780","wikidata":"https://www.wikidata.org/wiki/Q1628411","display_name":"Targeted advertising","level":2,"score":0.6605473160743713},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6062444448471069},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6041072607040405},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.5515630841255188},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5310291051864624},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.48522448539733887},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.42483535408973694},{"id":"https://openalex.org/C169093310","wikidata":"https://www.wikidata.org/wiki/Q3702971","display_name":"Personally identifiable information","level":2,"score":0.4138137102127075},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37342318892478943},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.21947994828224182},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/bigdata.2018.8622081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.tacoma.uw.edu:tech_pub-1343","is_oa":false,"landing_page_url":"https://digitalcommons.tacoma.uw.edu/tech_pub/344","pdf_url":null,"source":{"id":"https://openalex.org/S4306400628","display_name":"University of Washington Tacoma Digital Commons (University of Washington Tacoma)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210150356","host_organization_name":"University of Washington Tacoma","host_organization_lineage":["https://openalex.org/I4210150356"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"School of Engineering and Technology Publications","raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:publications/58941fe4-329a-4180-a464-614ba6f13e7c","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85062607410&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306400063","display_name":"Scopus (Elsevier)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bhagat, S, Saminathan, K, Agarwal, A, Dowsley, R, De Cock, M & Nascimento, A 2019, Privacy-Preserving User Profiling with Facebook Likes. in Y Song, B Liu, K Lee, N Abe, C Pu, M Qiao, N Ahmed, D Kossmann, J Saltz, J Tang, J He, H Liu & X Hu (eds), Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018., 8622081, IEEE, pp. 5298-5299, 2018 IEEE International Conference on Big Data, Big Data 2018, Seattle, United States, 10/12/2018. https://doi.org/10.1109/BigData.2018.8622081","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1519460759","https://openalex.org/W1779879527","https://openalex.org/W1974646334","https://openalex.org/W2022097286","https://openalex.org/W2104147801","https://openalex.org/W2122111042","https://openalex.org/W2141993926","https://openalex.org/W2154868463","https://openalex.org/W2158112071","https://openalex.org/W2162511804","https://openalex.org/W2188970717","https://openalex.org/W2299277274","https://openalex.org/W2397857137","https://openalex.org/W2756423817","https://openalex.org/W2909845808","https://openalex.org/W3018554693","https://openalex.org/W6679252923","https://openalex.org/W6687016155","https://openalex.org/W6757717111"],"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":{"The":[0],"content":[1],"generated":[2],"by":[3],"users":[4,50],"on":[5,87],"social":[6,88],"media":[7,89],"is":[8],"rich":[9],"in":[10,65,110],"personal":[11],"information":[12],"that":[13],"can":[14],"be":[15],"mined":[16,52],"to":[17,44,54,62,73,81],"construct":[18,55],"accurate":[19],"user":[20],"profiles,":[21,57],"and":[22,51],"subsequently":[23],"used":[24,61,108],"for":[25,96],"tailored":[26],"advertising":[27],"or":[28],"other":[29],"personalized":[30],"services.":[31],"Facebook":[32],"has":[33],"recently":[34],"come":[35],"under":[36],"scrutiny":[37],"after":[38],"a":[39,70,93],"third":[40],"party":[41],"gained":[42],"access":[43],"the":[45,104],"data":[46,75],"of":[47,49,69,103],"millions":[48],"it":[53],"psychographical":[56],"which":[58],"were":[59],"allegedly":[60],"influence":[63],"voters":[64],"elections.":[66],"As":[67],"part":[68],"possible":[71],"solution":[72],"avoid":[74],"breaches":[76],"while":[77],"still":[78],"being":[79],"able":[80],"perform":[82],"meaningful":[83],"machine":[84],"learning":[85],"(ML)":[86],"data,":[90],"we":[91],"propose":[92],"privacy-preserving":[94],"algorithm":[95],"k-nearest":[97],"neighbor":[98],"(kNN)":[99],"[1]":[100],",":[101],"one":[102],"oldest":[105],"ML":[106],"methods,":[107],"traditionally":[109],"collaborative":[111],"filtering":[112],"recommender":[113],"systems.":[114]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}