ishugaepov/Awesome-Machine-Learning-Papers
đŸ“–Notes and remarks on Machine Learning related papers
This collection provides organized academic papers with notes, focusing on techniques to predict how likely customers are to click on ads (CTR) or complete a purchase (CVR). It takes in cutting-edge research papers and provides curated insights. Marketing analysts, data scientists, and advertising strategists working with online ad campaigns would find this useful.
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Use this if you need to research advanced methods for improving click-through and conversion rates for online advertising and e-commerce.
Not ideal if you're looking for an off-the-shelf software solution or a tutorial for implementing these models.
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May 31, 2023
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