<ul><li>Collaborative filtering and content-based filtering are two types of recommendation systems that rely on user-item interactions.</li><li>Challenges include cold start problems and scalability for collaborative filtering, while content-based filtering may face over-specialization issues.</li><li>Hybrid recommendation systems combine multiple techniques to overcome limitations, such as combining collaborative filtering and content-based filtering.</li><li>The article also provides resources and links related to building recommendation systems.</li></ul>

Day 23: Recommendation Systems

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