creyesp/Awesome-recsys
Curated list of recommnedation system topics
This is a curated collection of resources designed to help you understand and implement recommendation systems. It includes links to blog posts, videos, online courses, books, code examples, datasets, and academic papers. If you're a product manager, data scientist, or e-commerce specialist looking to enhance user experience and drive engagement, this resource will guide your decision-making process for building effective recommendation engines.
156 stars. No commits in the last 6 months.
Use this if you need to research or build a system that suggests products, content, or connections to users based on their past behavior or preferences.
Not ideal if you are looking for a ready-to-use software solution or a step-by-step implementation guide without needing to understand the underlying theory.
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Jun 01, 2025
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