{"id":"https://openalex.org/W1986727322","doi":"https://doi.org/10.1145/2020408.2020465","title":"Classification of proxy labeled examples for marketing segment generation","display_name":"Classification of proxy labeled examples for marketing segment generation","publication_year":2011,"publication_date":"2011-08-21","ids":{"openalex":"https://openalex.org/W1986727322","doi":"https://doi.org/10.1145/2020408.2020465","mag":"1986727322"},"language":"en","primary_location":{"id":"doi:10.1145/2020408.2020465","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2020408.2020465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th 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/A5042844812","display_name":"Dean Cerrato","orcid":null},"institutions":[{"id":"https://openalex.org/I10734018","display_name":"Akamai (United States)","ror":"https://ror.org/03tarb191","country_code":"US","type":"company","lineage":["https://openalex.org/I10734018"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dean Cerrato","raw_affiliation_strings":["Akamai Technologies, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Akamai Technologies, Cambridge, MA, USA","institution_ids":["https://openalex.org/I10734018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000992993","display_name":"Rosie Jones","orcid":"https://orcid.org/0009-0000-3821-1207"},"institutions":[{"id":"https://openalex.org/I10734018","display_name":"Akamai (United States)","ror":"https://ror.org/03tarb191","country_code":"US","type":"company","lineage":["https://openalex.org/I10734018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rosie Jones","raw_affiliation_strings":["Akamai Technologies, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Akamai Technologies, Cambridge, MA, USA","institution_ids":["https://openalex.org/I10734018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101821832","display_name":"Avinash Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I10734018","display_name":"Akamai (United States)","ror":"https://ror.org/03tarb191","country_code":"US","type":"company","lineage":["https://openalex.org/I10734018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Avinash Gupta","raw_affiliation_strings":["Akamai Technologies, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Akamai Technologies, Cambridge, MA, USA","institution_ids":["https://openalex.org/I10734018"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042844812"],"corresponding_institution_ids":["https://openalex.org/I10734018"],"apc_list":null,"apc_paid":null,"fwci":1.17017388,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85064056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"343","last_page":"350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9976000189781189,"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":0.9976000189781189,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9962000250816345,"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/T12384","display_name":"Customer churn and segmentation","score":0.9728999733924866,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.693995475769043},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6870079040527344},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6578194499015808},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.6323850154876709},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6231244802474976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4462531507015228},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3907988667488098},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3884204626083374},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.33496007323265076},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.14023363590240479},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.07601851224899292}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.693995475769043},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6870079040527344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6578194499015808},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.6323850154876709},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6231244802474976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4462531507015228},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3907988667488098},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3884204626083374},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.33496007323265076},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.14023363590240479},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.07601851224899292},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2020408.2020465","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2020408.2020465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1506285740","https://openalex.org/W1510060950","https://openalex.org/W1670263352","https://openalex.org/W1991331456","https://openalex.org/W2024395071","https://openalex.org/W2116831624","https://openalex.org/W2133990480","https://openalex.org/W3124765728"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2028495302","https://openalex.org/W4396872084","https://openalex.org/W2113666009","https://openalex.org/W4249498729","https://openalex.org/W2002261065"],"abstract_inverted_index":{"Marketers":[0],"often":[1,103],"rely":[2],"on":[3],"a":[4,32,65,86,110],"set":[5,89],"of":[6,12,19,67,85],"descriptive":[7,26],"segments,":[8],"or":[9,61,90,105],"qualitative":[10],"subsets":[11],"the":[13,17,25,79,96],"population,":[14],"to":[15],"specify":[16],"audiences":[18],"targeted":[20],"advertising":[21],"campaigns.":[22],"For":[23],"example,":[24],"segment":[27],"\"Empty":[28],"Nesters\"":[29],"might":[30],"describe":[31],"desirable":[33],"target":[34],"audience":[35],"for":[36,81],"extended":[37],"vacation":[38],"package":[39],"offers.":[40],"While":[41],"some":[42],"segments":[43],"may":[44],"be":[45,76],"easily":[46],"described":[47],"and":[48,69],"generated":[49],"using":[50],"demographic":[51,68],"data":[52],"as":[53,58,78],"ground":[54,82,99],"truth,":[55],"others":[56],"such":[57],"\"Soccer":[59],"Moms\"":[60],"\"Urban":[62],"Hipsters\"":[63],"reflect":[64],"combination":[66],"behavioral":[70],"attributes.":[71],"Ideally,":[72],"these":[73],"attributes":[74,101],"would":[75],"available":[77],"basis":[80],"truth":[83,100],"labeling":[84,112],"classifier":[87],"training":[88],"even":[91],"direct":[92],"member":[93],"selection":[94],"from":[95],"population.":[97],"Unfortunately,":[98],"are":[102],"scarce":[104],"unavailable,":[106],"in":[107],"which":[108],"case":[109],"proxy":[111],"scheme":[113],"is":[114],"needed.":[115]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
