{"id":"https://openalex.org/W3007563452","doi":"https://doi.org/10.1109/bigdata47090.2019.9006010","title":"Advertiser-Assisted Behavioral Ad-Targeting via Denoised Distribution Induction","display_name":"Advertiser-Assisted Behavioral Ad-Targeting via Denoised Distribution Induction","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007563452","doi":"https://doi.org/10.1109/bigdata47090.2019.9006010","mag":"3007563452"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9006010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5040855466","display_name":"Kei Yonekawa","orcid":"https://orcid.org/0000-0002-4349-8895"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kei Yonekawa","raw_affiliation_strings":["Integrated Analysis Platform Laboratory, KDDI Research, Inc, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Integrated Analysis Platform Laboratory, KDDI Research, Inc, Tokyo, Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100619561","display_name":"Hao Niu","orcid":"https://orcid.org/0000-0002-5623-9470"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hao Niu","raw_affiliation_strings":["Integrated Analysis Platform Laboratory, KDDI Research, Inc, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Integrated Analysis Platform Laboratory, KDDI Research, Inc, Tokyo, Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061479875","display_name":"Mori Kurokawa","orcid":"https://orcid.org/0000-0003-4544-0643"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mori Kurokawa","raw_affiliation_strings":["Integrated Analysis Platform Laboratory, KDDI Research, Inc, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Integrated Analysis Platform Laboratory, KDDI Research, Inc, Tokyo, Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049520397","display_name":"Arei Kobayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Arei Kobayashi","raw_affiliation_strings":["Integrated Analysis Platform Laboratory, KDDI Research, Inc, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Integrated Analysis Platform Laboratory, KDDI Research, Inc, Tokyo, Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009228302","display_name":"Daichi Amagata","orcid":"https://orcid.org/0000-0001-8571-4931"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daichi Amagata","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039456378","display_name":"Takuya Maekawa","orcid":"https://orcid.org/0000-0002-7227-580X"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Maekawa","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012025870","display_name":"Takahiro Hara","orcid":"https://orcid.org/0000-0003-4807-3156"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Hara","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":null,"first_page":"5611","last_page":"5619"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.994700014591217,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.994700014591217,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9854000210762024,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9825000166893005,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5158811807632446},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.42895907163619995},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2520505487918854}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5158811807632446},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.42895907163619995},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2520505487918854}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9006010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"mag:3042121138","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002217618791097","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W46086471","https://openalex.org/W1518859047","https://openalex.org/W1522301498","https://openalex.org/W1731081199","https://openalex.org/W1994348648","https://openalex.org/W2046385669","https://openalex.org/W2064675550","https://openalex.org/W2090923791","https://openalex.org/W2101895600","https://openalex.org/W2124961556","https://openalex.org/W2131744502","https://openalex.org/W2136848157","https://openalex.org/W2165698076","https://openalex.org/W2170607218","https://openalex.org/W2295598076","https://openalex.org/W2432004435","https://openalex.org/W2467604901","https://openalex.org/W2751531187","https://openalex.org/W2765407302","https://openalex.org/W2798865883","https://openalex.org/W2808678362","https://openalex.org/W2892806280","https://openalex.org/W2951135715","https://openalex.org/W2963031676","https://openalex.org/W2963049866","https://openalex.org/W2963373786","https://openalex.org/W2963865839","https://openalex.org/W2964121744","https://openalex.org/W2964160479","https://openalex.org/W2964209830","https://openalex.org/W2973005646","https://openalex.org/W3102476541","https://openalex.org/W4285719527","https://openalex.org/W4293469690","https://openalex.org/W6601848957","https://openalex.org/W6631190155","https://openalex.org/W6637618735","https://openalex.org/W6674843704","https://openalex.org/W6679775712","https://openalex.org/W6718379498","https://openalex.org/W6720208624","https://openalex.org/W6729906282","https://openalex.org/W6733322467","https://openalex.org/W6743849729","https://openalex.org/W6745136726","https://openalex.org/W6750916912","https://openalex.org/W6752461815"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2093578348","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2766271392","https://openalex.org/W2350741829","https://openalex.org/W3004735627"],"abstract_inverted_index":{"Nowadays,":[0],"advertising":[1],"(ad)":[2],"deliveries":[3],"are":[4],"conducted":[5],"in":[6,20,40],"a":[7,31,62],"targeted":[8],"manner":[9],"to":[10,48,58],"improve":[11],"their":[12],"effectiveness":[13],"and":[14,29,110],"efficiency.":[15],"However,":[16],"human":[17,130],"behavior":[18,131],"data":[19,104,132],"ad-platforms":[21],"such":[22],"as":[23],"Web":[24],"browsing":[25,54],"history":[26],"is":[27],"complex":[28],"contains":[30],"lot":[32],"of":[33,73,115,123,133],"\u201cnoise\u201d.":[34],"On":[35],"the":[36,41,71,79,121],"other":[37],"hand,":[38],"information":[39],"advertiser's":[42,80,126],"domain":[43,91,127],"(e.g.":[44,52],"e-commerce":[45,108],"sites)":[46],"seems":[47],"contain":[49],"less":[50],"noise":[51],"product":[53],"history)":[55],"with":[56,94],"respect":[57],"ad-targeting.":[59],"We":[60,97],"introduce":[61],"new":[63],"denoising":[64,129],"method":[65],"for":[66,128],"behavioral":[67],"ad-targeting":[68],"based":[69],"on":[70,101],"idea":[72],"feature":[74],"distribution":[75,84],"alignment":[76],"induced":[77],"by":[78,89],"domain.":[81,136],"This":[82],"denoised":[83],"induction":[85],"can":[86],"be":[87],"achieved":[88],"employing":[90],"adversarial":[92],"training":[93],"stabilization":[95],"techniques.":[96],"evaluate":[98],"our":[99],"model":[100],"real":[102],"world":[103],"originating":[105],"from":[106],"an":[107,111,116,125,134],"site":[109],"ad-platform.":[112],"The":[113],"results":[114],"ablation":[117],"study":[118],"have":[119],"demonstrated":[120],"advantage":[122],"utilizing":[124],"ad-platform":[135]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}