{"id":"https://openalex.org/W3122458291","doi":"https://doi.org/10.1145/1557019.1557098","title":"Audience selection for on-line brand advertising","display_name":"Audience selection for on-line brand advertising","publication_year":2009,"publication_date":"2009-06-28","ids":{"openalex":"https://openalex.org/W3122458291","doi":"https://doi.org/10.1145/1557019.1557098","mag":"3122458291"},"language":"en","primary_location":{"id":"doi:10.1145/1557019.1557098","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1557019.1557098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery 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/A5037283651","display_name":"Foster Provost","orcid":"https://orcid.org/0000-0002-0307-3884"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Foster Provost","raw_affiliation_strings":["NYU & Media6degrees, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NYU & Media6degrees, New York, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012872167","display_name":"B D'Alessandro","orcid":"https://orcid.org/0000-0002-0050-401X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brian Dalessandro","raw_affiliation_strings":["Media6degrees, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Media6degrees, New York, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047275774","display_name":"Rod Hook","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rod Hook","raw_affiliation_strings":["Coriolis Ventures, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Coriolis Ventures, New York, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431070","display_name":"Xiaohan Zhang","orcid":"https://orcid.org/0000-0002-0733-4949"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaohan Zhang","raw_affiliation_strings":["NYU & Media6degrees, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NYU & Media6degrees, New York, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086957912","display_name":"Alan T. Murray","orcid":"https://orcid.org/0000-0003-2674-6110"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alan Murray","raw_affiliation_strings":["Coriolis Ventures, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Coriolis Ventures, New York, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.9032,"has_fulltext":false,"cited_by_count":120,"citation_normalized_percentile":{"value":0.98985516,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"707","last_page":"716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9980999827384949,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/computer-science","display_name":"Computer science","score":0.7024756669998169},{"id":"https://openalex.org/keywords/analogy","display_name":"Analogy","score":0.6551724672317505},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5982076525688171},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5895305871963501},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.5309001207351685},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4805472493171692},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4630115032196045},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4542641043663025},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4431852400302887},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32684487104415894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15060070157051086},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.13723883032798767},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08417028188705444}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7024756669998169},{"id":"https://openalex.org/C521332185","wikidata":"https://www.wikidata.org/wiki/Q185816","display_name":"Analogy","level":2,"score":0.6551724672317505},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5982076525688171},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5895305871963501},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.5309001207351685},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4805472493171692},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4630115032196045},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4542641043663025},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4431852400302887},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32684487104415894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15060070157051086},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.13723883032798767},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08417028188705444},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1557019.1557098","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1557019.1557098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W18554110","https://openalex.org/W49486804","https://openalex.org/W1725965606","https://openalex.org/W1933130724","https://openalex.org/W1964563567","https://openalex.org/W1970874697","https://openalex.org/W1977843657","https://openalex.org/W1978558026","https://openalex.org/W2012852390","https://openalex.org/W2035745790","https://openalex.org/W2073448073","https://openalex.org/W2097391913","https://openalex.org/W2117831564","https://openalex.org/W2120797124","https://openalex.org/W2123958887","https://openalex.org/W2130354913","https://openalex.org/W2159675343","https://openalex.org/W2159937399","https://openalex.org/W2161984370","https://openalex.org/W2328176404","https://openalex.org/W3099386891","https://openalex.org/W4234473173","https://openalex.org/W6600738540"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2392206215","https://openalex.org/W2365201483","https://openalex.org/W2355561779","https://openalex.org/W2352407775","https://openalex.org/W108701362","https://openalex.org/W2186567693","https://openalex.org/W2469799552","https://openalex.org/W2120116197","https://openalex.org/W159653547"],"abstract_inverted_index":{"This":[0],"paper":[1,74],"describes":[2],"and":[3,42,134],"evaluates":[4],"privacy-friendly":[5],"methods":[6,95],"for":[7,18,25,33,69,83,96,171],"extracting":[8,97],"quasi-social":[9,98,154],"networks":[10,99],"from":[11,100,165],"browser":[12],"behavior":[13,45],"on":[14,66,102,112],"user-generated":[15],"content":[16,120],"sites,":[17],"the":[19,50,60,113,116,119,122,132,153,172,178],"purpose":[20],"of":[21,52,59,115,121,128,177],"finding":[22],"good":[23,53],"audiences":[24,54,137],"brand":[26,71,85,129,140,146,175],"advertising":[27],"(as":[28],"opposed":[29],"to":[30,63,89,104],"click":[31],"maximizing,":[32],"example).":[34],"Targeting":[35],"social-network":[36,123],"neighbors":[37],"resonates":[38],"well":[39],"with":[40,138,163],"advertisers,":[41],"on-line":[43,70],"browsing":[44],"data":[46,67,101],"counterintuitively":[47],"can":[48],"allow":[49],"identification":[51],"anonymously.":[55],"Besides":[56],"being":[57],"one":[58,169],"first":[61],"papers":[62],"our":[64],"knowledge":[65],"mining":[68],"advertising,":[72],"this":[73],"makes":[75],"several":[76],"important":[77],"contributions.":[78],"We":[79,93,125],"introduce":[80,94,126],"a":[81,157],"framework":[82],"evaluating":[84],"audiences,":[86],"in":[87,131,174],"analogy":[88],"predictive-modeling":[90],"holdout":[91],"evaluation.":[92],"visitations":[103],"social":[105,159,166],"networking":[106],"pages,":[107],"without":[108],"collecting":[109],"any":[110],"information":[111],"identities":[114],"browsers":[117],"or":[118],"pages.":[124],"measures":[127],"proximity":[130,141],"network,":[133,160],"show":[135,143],"that":[136,152],"high":[139],"indeed":[142],"substantially":[144],"higher":[145],"affinity.":[147],"Finally,":[148],"we":[149],"provide":[150],"evidence":[151],"network":[155],"embeds":[156],"true":[158],"which":[161],"along":[162],"results":[164],"theory":[167],"offers":[168],"explanation":[170],"increase":[173],"affinity":[176],"selected":[179],"audiences.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":16},{"year":2012,"cited_by_count":21}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}