{"id":"https://openalex.org/W4321485228","doi":"https://doi.org/10.1145/3539597.3573036","title":"Privacy Aware Experiments without Cookies","display_name":"Privacy Aware Experiments without Cookies","publication_year":2023,"publication_date":"2023-02-22","ids":{"openalex":"https://openalex.org/W4321485228","doi":"https://doi.org/10.1145/3539597.3573036"},"language":"en","primary_location":{"id":"doi:10.1145/3539597.3573036","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539597.3573036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining","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/A5103022389","display_name":"Shiv Shankar","orcid":"https://orcid.org/0000-0003-1631-2570"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shiv Shankar","raw_affiliation_strings":["University of Massachusetts, Amherst, MA, USA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056964468","display_name":"Ritwik Sinha","orcid":"https://orcid.org/0000-0002-0344-1368"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ritwik Sinha","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003506066","display_name":"Saayan Mitra","orcid":"https://orcid.org/0000-0002-4048-2142"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saayan Mitra","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022934605","display_name":"Viswanathan Swaminathan","orcid":"https://orcid.org/0000-0002-1357-1502"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Viswanathan (Vishy) Swaminathan","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061960274","display_name":"Sridhar Mahadevan","orcid":null},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sridhar Mahadevan","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102835950","display_name":"Moumita Sinha","orcid":"https://orcid.org/0000-0001-5634-4345"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moumita Sinha","raw_affiliation_strings":["Adobe Inc, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"Adobe Inc, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103022389"],"corresponding_institution_ids":["https://openalex.org/I24603500"],"apc_list":null,"apc_paid":null,"fwci":0.3477,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58644265,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1144","last_page":"1147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9751999974250793,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.9652000069618225,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6854944229125977},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.6185446381568909},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.513461172580719},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.45855849981307983},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38405361771583557},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.3678331673145294},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3348691463470459},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.32120317220687866},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1871252954006195},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1526142954826355},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.13825270533561707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6854944229125977},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.6185446381568909},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.513461172580719},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.45855849981307983},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38405361771583557},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.3678331673145294},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3348691463470459},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.32120317220687866},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1871252954006195},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1526142954826355},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.13825270533561707},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3539597.3573036","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539597.3573036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2012797835","https://openalex.org/W2338665238","https://openalex.org/W2605120649","https://openalex.org/W3094492114","https://openalex.org/W3159353569","https://openalex.org/W4400994140"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W4385769873","https://openalex.org/W4281634296","https://openalex.org/W4319161863","https://openalex.org/W2371687270","https://openalex.org/W4311888330","https://openalex.org/W2517641583","https://openalex.org/W4221071877"],"abstract_inverted_index":{"Consider":[0],"two":[1,65],"brands":[2,66],"that":[3,120],"want":[4],"to":[5,36,69,78,105,109,132],"jointly":[6],"test":[7,79],"alternate":[8,81],"web":[9],"experiences":[10],"for":[11],"their":[12],"customers":[13],"with":[14],"an":[15,92,150],"A/B":[16,52],"test.":[17],"Such":[18],"collaborative":[19],"tests":[20,53],"are":[21],"today":[22],"enabled":[23],"usingthird-party":[24],"cookies,":[25,50],"where":[26,63],"each":[27],"brand":[28],"has":[29],"information":[30],"on":[31,71],"the":[32,45,64,76,80,86,96,121,127,133,139,154],"identity":[33],"of":[34,48,75,88,95,126,135],"visitors":[35,136],"another":[37],"website,":[38],"ensuring":[39],"a":[40,59,103,145],"consistent":[41],"treatment":[42],"experience.":[43],"With":[44],"imminent":[46],"elimination":[47],"third-party":[49],"such":[51,149],"will":[54],"become":[55],"untenable.":[56],"We":[57,90],"propose":[58,91],"two-stage":[60],"experimental":[61],"design,":[62],"only":[67],"need":[68],"agree":[70],"high-level":[72],"aggregate":[73],"parameters":[74],"experiment":[77,151],"experiences.":[82],"Our":[83,141],"design":[84,148],"respects":[85],"privacy":[87],"customers.":[89],"unbiased":[93],"estimator":[94],"Average":[97],"Treatment":[98],"Effect":[99],"(ATE),":[100],"and":[101,115,129,152],"provide":[102],"way":[104],"use":[106],"regression":[107],"adjustment":[108],"improve":[110],"this":[111],"estimate.":[112],"On":[113],"real":[114],"simulated":[116],"data,":[117],"we":[118],"show":[119],"approach":[122],"provides":[123],"valid":[124],"estimate":[125],"ATE":[128],"is":[130],"robust":[131],"proportion":[134],"overlapping":[137],"across":[138],"brands.":[140],"demonstration":[142],"describes":[143],"how":[144],"marketer":[146],"can":[147],"analyze":[153],"results.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}