Klodiana Cika
Click-Through Rate Prediction.
Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2021
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Abstract
Nowadays the internet has drastically changed the advertising industry, and it continues to change as new technology and platforms are released. The success of any advertisement campaign lies in reaching the right class of target audience and eventually convert them as potential customers in the future. In the last few years we can notice a considerable growth of the market of online advertising, which becomes very important, and provides a major source of advertising revenue. In order to measure a campaign effectiveness there exist a variety of metrics and one of them is Click-Through Rate (CTR): a ratio showing how often people who see an advertisement end up clicking it.
CTR prediction means capturing user’s dynamic and evolving interests from their behavior sequence and answering to the question: How likely is the user to click on the advertisement? For performing prediction different techniques of Machine Learning are exploited
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