{"id":"https://openalex.org/W2060204748","doi":"https://doi.org/10.1145/1557019.1557048","title":"Large-scale behavioral targeting","display_name":"Large-scale behavioral targeting","publication_year":2009,"publication_date":"2009-06-28","ids":{"openalex":"https://openalex.org/W2060204748","doi":"https://doi.org/10.1145/1557019.1557048","mag":"2060204748"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/1557019.1557048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://www.cs.berkeley.edu/~jfc/papers/09/KDD09.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100359095","display_name":"Ye Chen","orcid":"https://orcid.org/0000-0002-1080-7671"},"institutions":[{"id":"https://openalex.org/I4210150719","display_name":"eBay (United States)","ror":"https://ror.org/05cnabr44","country_code":"US","type":"company","lineage":["https://openalex.org/I4210150719"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ye Chen","raw_affiliation_strings":["eBay Inc., San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"eBay Inc., San Jose, CA, USA","institution_ids":["https://openalex.org/I4210150719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110057155","display_name":"Dmitry Pavlov","orcid":null},"institutions":[{"id":"https://openalex.org/I58957048","display_name":"Yandex (Russia)","ror":"https://ror.org/04dbch786","country_code":"RU","type":"company","lineage":["https://openalex.org/I58957048"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitry Pavlov","raw_affiliation_strings":["Yandex Labs, Burlingame, CA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Yandex Labs, Burlingame, CA, USA#TAB#","institution_ids":["https://openalex.org/I58957048"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089723214","display_name":"John Canny","orcid":"https://orcid.org/0000-0002-7161-7927"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John F. Canny","raw_affiliation_strings":["University of California, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":18.922,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":199,"citation_normalized_percentile":{"value":0.980875,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image Quality Assessment in Multimedia Content","score":0.9951,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11165","display_name":"Image Quality Assessment in Multimedia Content","score":0.9951,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11161","display_name":"Economic Analysis of Retail and Marketing Strategies","score":0.9893,"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/T11980","display_name":"Understanding Human Mobility Patterns","score":0.9859,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/lift","display_name":"Lift (data mining)","score":0.5866417},{"id":"https://openalex.org/keywords/location-based-data","display_name":"Location-Based Data","score":0.543354},{"id":"https://openalex.org/keywords/travel-behavior","display_name":"Travel Behavior","score":0.503522}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7923524},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7599784},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.5866417},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5752723},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49305794},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4560828},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38575354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38118696},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3626394},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31316864},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.25457883},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/1557019.1557048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.1078","pdf_url":"http://www.cs.berkeley.edu/~jfc/papers/09/KDD09.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.1078","pdf_url":"http://www.cs.berkeley.edu/~jfc/papers/09/KDD09.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":11,"referenced_works":["https://openalex.org/W1749904362","https://openalex.org/W1839144526","https://openalex.org/W1866172591","https://openalex.org/W1973628995","https://openalex.org/W1986966428","https://openalex.org/W1994371611","https://openalex.org/W2034053794","https://openalex.org/W2135029798","https://openalex.org/W2141218329","https://openalex.org/W2173213060","https://openalex.org/W4302853952"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4255224757","https://openalex.org/W4247566972","https://openalex.org/W4233347783","https://openalex.org/W4206777497","https://openalex.org/W3090563135","https://openalex.org/W2960264696","https://openalex.org/W2910064364","https://openalex.org/W2499527417","https://openalex.org/W2497432351"],"abstract_inverted_index":{"Behavioral":[0],"targeting":[1],"(BT)":[2],"leverages":[3],"historical":[4],"user":[5,29,38,75],"behavior":[6],"to":[7,13,15,50],"select":[8],"the":[9,61,72,80,100,106],"ads":[10],"most":[11],"relevant":[12],"users":[14],"display.":[16],"The":[17],"state-of-the-art":[18],"of":[19],"BT":[20,51],"derives":[21],"a":[22,44,112],"linear":[23],"Poisson":[24],"regression":[25],"model":[26,109],"from":[27,37,71,111],"fine-grained":[28],"behavioral":[30],"data":[31],"and":[32,42,47,60],"predicts":[33],"click-through":[34],"rate":[35],"(CTR)":[36],"history.":[39],"We":[40],"designed":[41],"implemented":[43],"highly":[45],"scalable":[46],"efficient":[48],"solution":[49],"using":[52],"Hadoop":[53],"MapReduce":[54],"framework.":[55],"With":[56],"our":[57,92],"parallel":[58],"algorithm":[59],"resulting":[62],"system,":[63],"we":[64],"can":[65,84],"build":[66],"above":[67],"450":[68],"BT-category":[69],"models":[70],"entire":[73],"Yahoo's":[74],"base":[76],"within":[77],"one":[78,83],"day,":[79],"scale":[81],"that":[82],"not":[85],"even":[86],"imagine":[87],"with":[88],"prior":[89],"systems.":[90],"Moreover,":[91],"approach":[93],"has":[94],"yielded":[95],"20%":[96],"CTR":[97],"lift":[98],"over":[99],"existing":[101],"production":[102],"system":[103],"by":[104],"leveraging":[105],"well-grounded":[107],"probabilistic":[108],"fitted":[110],"much":[113],"larger":[114],"training":[115],"dataset.":[116]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2060204748","counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":16},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":18},{"year":2014,"cited_by_count":15},{"year":2013,"cited_by_count":24},{"year":2012,"cited_by_count":24}],"updated_date":"2024-10-14T21:11:03.404657","created_date":"2016-06-24"}