wzhe06/Ad-papers
Papers on Computational Advertising
This is a curated collection of research papers and learning materials focused on computational advertising. It provides a structured overview of key algorithms and methodologies, from optimization techniques to recommendation systems. Digital marketers, advertising platform engineers, and data scientists specializing in ad tech can use this to deepen their understanding and implement advanced advertising strategies.
4,377 stars. No commits in the last 6 months.
Use this if you are an advertising professional or data scientist looking for foundational and cutting-edge research in computational advertising to improve ad relevance, targeting, and click-through rates.
Not ideal if you are looking for ready-to-use code implementations or a basic introduction to digital advertising concepts.
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Python
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MIT
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Feb 09, 2021
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