mJackie/RecSys
A Chinese-language knowledge hub aggregating articles, papers, competitions, and code for recommendation systems and click-through rate prediction.

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This repository serves as a weekly-updated compilation of study materials covering recommendation systems, computational advertising, and CTR/CVR prediction. It organizes resources across statistical learning models, deep learning approaches, and relevant ML competitions like Criteo and Avazu. The collection includes technical articles, practice code, classic paper lists, and links to external blogs and courses.