ETD

Digital archive of theses discussed at the University of Pisa

 

Thesis etd-11182020-155455


Thesis type
Tesi di laurea magistrale
Author
KUDASHEVA, NALZHAN
URN
etd-11182020-155455
Thesis title
Comparative study of algorithms for click rate prediction in online advertising
Department
INFORMATICA
Course of study
INFORMATICA PER L'ECONOMIA E PER L'AZIENDA (BUSINESS INFORMATICS)
Supervisors
relatore Prof. Ciaramella, Nicola
Keywords
  • online marketing
  • digital advertising
Graduation session start date
04/12/2020
Availability
Withheld
Release date
04/12/2060
Summary
The purpose of the thesis is a comparative analysis of the application of various algorithms for prediction of the click through rate metric. Comparative evaluation of models is performed using several measures. This work helps to determine the most effective models for click through rate prediction based on available data.
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