chocoluffy/deep-recommender-system
key Deep Learning engineering tricks in recsys
This project helps e-commerce platforms, video streaming services, and online marketplaces improve their product recommendations. It takes in customer interaction data, such as past purchases, clicks, or viewing history, and outputs advanced recommendation models that suggest relevant items to users. Online retailers, content providers, and digital marketers can use these models to enhance customer engagement and sales.
804 stars. No commits in the last 6 months.
Use this if you need to build or enhance a recommendation engine that can handle complex user behavior and large datasets, focusing on deep learning techniques for personalized suggestions.
Not ideal if you're looking for a simple, off-the-shelf recommendation solution without diving into advanced deep learning architectures or if your data volumes are very small.
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Oct 05, 2020
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