{"id":"https://openalex.org/W2611939915","doi":"https://doi.org/10.1145/1348599.1348601","title":"More bang for their bucks","display_name":"More bang for their bucks","publication_year":2007,"publication_date":"2007-08-12","ids":{"openalex":"https://openalex.org/W2611939915","doi":"https://doi.org/10.1145/1348599.1348601","mag":"2611939915"},"language":"en","primary_location":{"id":"doi:10.1145/1348599.1348601","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1348599.1348601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st international workshop on Data mining and audience intelligence for advertising","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/A5085377032","display_name":"Diane Lambert","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Diane Lambert","raw_affiliation_strings":["Google, Inc., New York, NY"],"affiliations":[{"raw_affiliation_string":"Google, Inc., New York, NY","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039725998","display_name":"Daryl Pregibon","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daryl Pregibon","raw_affiliation_strings":["Google, Inc., New York, NY"],"affiliations":[{"raw_affiliation_string":"Google, Inc., New York, NY","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085377032"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":1.5499,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89604714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9811999797821045,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9700000286102295,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7335144877433777},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6989952325820923},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5913063883781433},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.5697357654571533},{"id":"https://openalex.org/keywords/forcing","display_name":"Forcing (mathematics)","score":0.5579511523246765},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.4826824963092804},{"id":"https://openalex.org/keywords/ideal","display_name":"Ideal (ethics)","score":0.4814828634262085},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.45367002487182617},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.4125412404537201},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3801659643650055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11907711625099182},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.11704707145690918},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.10259822010993958}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7335144877433777},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6989952325820923},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5913063883781433},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5697357654571533},{"id":"https://openalex.org/C197115733","wikidata":"https://www.wikidata.org/wiki/Q1003136","display_name":"Forcing (mathematics)","level":2,"score":0.5579511523246765},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.4826824963092804},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.4814828634262085},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.45367002487182617},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.4125412404537201},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3801659643650055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11907711625099182},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.11704707145690918},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.10259822010993958},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1348599.1348601","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1348599.1348601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st international workshop on Data mining and audience intelligence for advertising","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":18,"referenced_works":["https://openalex.org/W1515242458","https://openalex.org/W1978108654","https://openalex.org/W2001947543","https://openalex.org/W2014373672","https://openalex.org/W2028040032","https://openalex.org/W2059575958","https://openalex.org/W2116739230","https://openalex.org/W2132917208","https://openalex.org/W2150291618","https://openalex.org/W2151367131","https://openalex.org/W2168639902","https://openalex.org/W2171040166","https://openalex.org/W3123092502","https://openalex.org/W3125459412","https://openalex.org/W3133236490","https://openalex.org/W4233471163","https://openalex.org/W6630696253","https://openalex.org/W7075292137"],"related_works":["https://openalex.org/W2971214053","https://openalex.org/W2949231297","https://openalex.org/W2590472383","https://openalex.org/W2060606417","https://openalex.org/W2045623209","https://openalex.org/W13367279","https://openalex.org/W152327667","https://openalex.org/W2021517900","https://openalex.org/W2243116742","https://openalex.org/W4301155280"],"abstract_inverted_index":{"Online":[0],"search":[1],"systems":[2],"that":[3,10,50],"display":[4],"ads":[5],"continually":[6],"offer":[7],"new":[8,27,75,104,120],"features":[9,76],"advertisers":[11,58,78,92],"can":[12],"use":[13,63,118],"to":[14,62,96,101,117],"fine-tune":[15],"and":[16,59,108],"enhance":[17],"their":[18],"ad":[19],"campaigns.":[20],"An":[21],"important":[22],"question":[23,42],"is":[24,67],"whether":[25,114],"a":[26,45,55,83,103],"feature":[28,105],"actually":[29],"helps":[30],"advertisers.":[31],"In":[32],"an":[33],"ideal":[34],"world":[35],"for":[36,77],"statisticians,":[37],"we":[38],"would":[39,51],"answer":[40],"this":[41],"by":[43],"running":[44],"statistically":[46],"designed":[47],"experiment.":[48],"But":[49],"require":[52],"randomly":[53],"choosing":[54],"set":[56],"of":[57],"forcing":[60],"them":[61],"the":[64,72,99,119,123,128],"feature,":[65],"which":[66],"not":[68,116],"realistic.":[69],"Accordingly,":[70],"in":[71],"real":[73],"world,":[74],"are":[79,94],"seldom":[80],"evaluated":[81],"with":[82],"traditional":[84],"experimental":[85],"protocol.":[86],"Instead,":[87],"customer":[88,124],"service":[89,125],"representatives":[90],"select":[91],"who":[93],"invited":[95],"be":[97],"among":[98],"first":[100],"test":[102],"(i.e.,":[106],"white-listed),":[107],"then":[109],"each":[110],"white-listed":[111],"advertiser":[112,129],"chooses":[113,130],"or":[115],"feature.":[121],"Neither":[122],"representative":[126],"nor":[127],"at":[131],"random.":[132]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
