{"id":"https://openalex.org/W2612012182","doi":"https://doi.org/10.1142/s1793351x17400013","title":"Audience Validation in Online Media Using Limited Behavioral Data and Demographic Mix","display_name":"Audience Validation in Online Media Using Limited Behavioral Data and Demographic Mix","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2612012182","doi":"https://doi.org/10.1142/s1793351x17400013","mag":"2612012182"},"language":"en","primary_location":{"id":"doi:10.1142/s1793351x17400013","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x17400013","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-7108","issn":["1793-7108","1793-351X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","raw_type":"journal-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/A5020121896","display_name":"Wreetabrata Kar","orcid":null},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wreetabrata Kar","raw_affiliation_strings":["Adobe Research, Adobe Systems, San Jose, CA 95110, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, Adobe Systems, San Jose, CA 95110, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034238451","display_name":"Sarath Swaminathan","orcid":null},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarath Swaminathan","raw_affiliation_strings":["University of Utah, Salt Lake City, UT 84112, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Utah, Salt Lake City, UT 84112, USA","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022934605","display_name":"Viswanathan Swaminathan","orcid":"https://orcid.org/0000-0002-1357-1502"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Viswanathan Swaminathan","raw_affiliation_strings":["Adobe Research, Adobe Systems, San Jose, CA 95110, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, Adobe Systems, San Jose, CA 95110, USA","institution_ids":["https://openalex.org/I1306409833"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05608362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"01","first_page":"5","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9990000128746033,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9980999827384949,"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":0.9932000041007996,"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":0.8192906379699707},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.5864714980125427},{"id":"https://openalex.org/keywords/congruence","display_name":"Congruence (geometry)","score":0.42326921224594116},{"id":"https://openalex.org/keywords/third-party","display_name":"Third party","score":0.41007667779922485},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3951941430568695},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3614787757396698},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.28391867876052856},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.2541322708129883},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08121651411056519}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8192906379699707},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.5864714980125427},{"id":"https://openalex.org/C132074034","wikidata":"https://www.wikidata.org/wiki/Q154210","display_name":"Congruence (geometry)","level":2,"score":0.42326921224594116},{"id":"https://openalex.org/C2983583741","wikidata":"https://www.wikidata.org/wiki/Q16785388","display_name":"Third party","level":2,"score":0.41007667779922485},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3951941430568695},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3614787757396698},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.28391867876052856},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.2541322708129883},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08121651411056519},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1793351x17400013","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x17400013","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-7108","issn":["1793-7108","1793-351X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W613065787","https://openalex.org/W1550708636","https://openalex.org/W1970009355","https://openalex.org/W1974474195","https://openalex.org/W1984592021","https://openalex.org/W2023505872","https://openalex.org/W2060204748","https://openalex.org/W2088640816","https://openalex.org/W2093163898","https://openalex.org/W2101234009","https://openalex.org/W2106728444","https://openalex.org/W2118076585","https://openalex.org/W2219888463","https://openalex.org/W2963953172"],"related_works":["https://openalex.org/W4296749040","https://openalex.org/W4230197055","https://openalex.org/W621808327","https://openalex.org/W644007644","https://openalex.org/W3012257603","https://openalex.org/W3177475962","https://openalex.org/W4292264782","https://openalex.org/W3016450995","https://openalex.org/W2141646567","https://openalex.org/W4296748749"],"abstract_inverted_index":{"At":[0],"the":[1,40,53,59,71,79,98,104,116,136],"onset":[2],"of":[3,43,112,138],"any":[4],"campaign":[5],"in":[6,31,48],"an":[7,10],"online":[8],"media,":[9],"advertiser":[11],"usually":[12],"provides":[13],"a":[14,19,87,130],"specific":[15],"demographic":[16,72,100,117],"\u201ctarget\u201d":[17],"to":[18,28,70,90,114],"content":[20],"publisher.":[21],"But":[22],"limited":[23],"individual":[24],"profile":[25],"information":[26,74],"leads":[27],"low":[29],"accuracy":[30,47],"targeting.":[32],"A":[33],"third":[34,80,105],"party":[35],"(like":[36],"Nielsen,":[37],"Comscore)":[38],"validates":[39],"percentage":[41],"success":[42],"\u201cin-target\u201d":[44],"impressions.":[45],"Low":[46],"targeting":[49],"is":[50],"expensive":[51],"as":[52],"publisher":[54],"gets":[55],"paid":[56],"only":[57],"for":[58,75],"impressions":[60],"which":[61],"were":[62],"on":[63,129],"target.":[64],"However,":[65],"publishers":[66],"could":[67],"get":[68],"access":[69],"mix":[73,101],"each":[76],"show":[77],"from":[78,97],"party.":[81],"In":[82,119],"this":[83],"work,":[84],"we":[85,125],"propose":[86],"new":[88],"approach":[89,140],"incorporate":[91],"user":[92],"level":[93,110],"latent":[94],"features":[95,111],"developed":[96],"show-wise":[99],"provided":[102],"by":[103],"party,":[106],"along":[107],"with":[108,121],"session":[109],"viewers":[113],"improve":[115],"predictions.":[118],"congruence":[120],"current":[122],"industry":[123],"practice,":[124],"train":[126],"our":[127,139],"model":[128],"small":[131],"labeled":[132],"data":[133],"and":[134],"establish":[135],"effectiveness":[137],"over":[141],"existing":[142],"approaches":[143],"through":[144],"experiments.":[145]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}