Maximizing ad campaign effectiveness through TV viewership analysis: a machine learning investigation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F23%3A00059308" target="_blank" >RIV/61384399:31140/23:00059308 - isvavai.cz</a>
Result on the web
<a href="https://drustvo-informatika.si/uploads/documents/6a1c2595-7d3f-4dd2-ab6c-9ed9b168c19d/SOR23Proceedings.pdf" target="_blank" >https://drustvo-informatika.si/uploads/documents/6a1c2595-7d3f-4dd2-ab6c-9ed9b168c19d/SOR23Proceedings.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Maximizing ad campaign effectiveness through TV viewership analysis: a machine learning investigation
Original language description
Main topics of the document: generalized additive models; smoothing splines; random forest; interpretable machine learning; TV ratings
Czech name
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Czech description
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Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 17th International Symposium on Operational Research in Slovenia SOR '23
ISBN
978-961-6165-61-7
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
83-86
Publisher name
Samo Drobne
Place of publication
Slovinsko
Event location
Bled, Slovinsko
Event date
Sep 20, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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Result description