{"id":"https://openalex.org/W2116742087","doi":"https://doi.org/10.1145/2487788.2487846","title":"A joint optimization of incrementality and revenue to satisfy both advertiser and publisher","display_name":"A joint optimization of incrementality and revenue to satisfy both advertiser and publisher","publication_year":2013,"publication_date":"2013-05-13","ids":{"openalex":"https://openalex.org/W2116742087","doi":"https://doi.org/10.1145/2487788.2487846","mag":"2116742087"},"language":"en","primary_location":{"id":"doi:10.1145/2487788.2487846","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2487788.2487846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd International Conference on World Wide Web","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/A5062813136","display_name":"Dmitry Pechyony","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dmitry Pechyony","raw_affiliation_strings":["MediaMath Inc., Cambridge, USA"],"affiliations":[{"raw_affiliation_string":"MediaMath Inc., Cambridge, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Rosie Jones","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rosie Jones","raw_affiliation_strings":["MediaMath Inc., Cambridge, USA"],"affiliations":[{"raw_affiliation_string":"MediaMath Inc., Cambridge, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100383716","display_name":"Xiaojing Li","orcid":"https://orcid.org/0000-0003-1983-3144"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaojing Li","raw_affiliation_strings":["MediaMath Inc., Cambridge, USA"],"affiliations":[{"raw_affiliation_string":"MediaMath Inc., Cambridge, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062813136"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0919,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.89993866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"123","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9991999864578247,"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":0.9991999864578247,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9667999744415283,"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"}},{"id":"https://openalex.org/T12659","display_name":"Innovation Diffusion and Forecasting","score":0.9610999822616577,"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/revenue","display_name":"Revenue","score":0.741520881652832},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.7102123498916626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6438577771186829},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6388407945632935},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6074739694595337},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.5227975249290466},{"id":"https://openalex.org/keywords/ideal","display_name":"Ideal (ethics)","score":0.445686936378479},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41342973709106445},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3956323266029358},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.25853288173675537},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14486375451087952},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12238761782646179},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.07767564058303833}],"concepts":[{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.741520881652832},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.7102123498916626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6438577771186829},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6388407945632935},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6074739694595337},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.5227975249290466},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.445686936378479},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41342973709106445},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3956323266029358},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.25853288173675537},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14486375451087952},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12238761782646179},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.07767564058303833},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2487788.2487846","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2487788.2487846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd International Conference on World Wide Web","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.297.3925","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.3925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.technion.ac.il/~pechyony/www_poster.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.401.7952","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.401.7952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www2013.org/companion/p123.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1981886486","https://openalex.org/W2030188598"],"related_works":["https://openalex.org/W2590472383","https://openalex.org/W2383873009","https://openalex.org/W2393580911","https://openalex.org/W2212184297","https://openalex.org/W3156456913","https://openalex.org/W2390945180","https://openalex.org/W2394052932","https://openalex.org/W2350360626","https://openalex.org/W2737552886","https://openalex.org/W3207130397"],"abstract_inverted_index":{"A":[0],"long-standing":[1],"goal":[2],"in":[3,109,113,139],"advertising":[4,12],"is":[5],"to":[6,11,13,18,23,85,92],"reduce":[7],"wasted":[8],"costs":[9],"due":[10],"people":[14],"who":[15,25,47,69,88],"are":[16,43,70,89],"unlikely":[17],"buy,":[19,57],"as":[20,22],"well":[21],"those":[24,44,86],"would":[26,48,55],"make":[27],"a":[28,119,126],"purchase":[29],"whether":[30],"they":[31],"saw":[32],"an":[33,52,102,110],"ad":[34],"or":[35,76,94],"not.":[36],"The":[37],"ideal":[38],"audience":[39],"for":[40,67],"the":[41,61,64,73,114],"advertiser":[42],"incremental":[45],"users":[46,87],"buy":[49],"if":[50,58],"shown":[51,60],"ad,":[53],"and":[54,99,132,135],"not":[56,59],"ad.":[62],"On":[63],"other":[65,115],"hand,":[66],"publishers":[68],"paid":[71],"when":[72],"user":[74],"clicks":[75],"buys,":[77],"revenue":[78],"may":[79],"be":[80],"maximized":[81],"by":[82],"showing":[83],"ads":[84],"most":[90],"likely":[91],"click":[93],"purchase.":[95],"We":[96,117],"show":[97],"analytically":[98],"empirically":[100],"that":[101,124],"optimization":[103,128],"towards":[104,129],"one":[105],"metric":[106],"might":[107],"result":[108],"inferior":[111],"performance":[112],"one.":[116],"present":[118],"novel":[120],"algorithm,":[121],"called":[122],"SLC,":[123],"performs":[125],"joint":[127],"both":[130],"advertisers'":[131],"publishers'":[133],"goals":[134],"provides":[136],"superior":[137],"results":[138],"both.":[140]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}