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About Ad Prediction Using Click Through Rate and Machine Learning With Reinforcement Learning
This document discusses using machine learning and reinforcement learning to predict click-through rates (CTR) for online advertisements. CTR is an important metric that measures the ratio of users who click on an ad to the number of times it is shown. The paper proposes using machine learning techniques to tackle challenges in predicting CTR and determining optimal ad placement. Reinforcement learning algorithms are applied to find which ad versions and placements can achieve the highest conversion rates and number of clicks.
Detailed Information
| Author: | ['Ali Asghar Pourhaji Kazem'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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