<ul><li>Recommendation systems are crucial in modern applications, enhancing user experience and engagement.</li><li>Types of recommendation systems include content-based filtering, collaborative filtering, hybrid systems, and knowledge-based systems.</li><li>Popular recommendation algorithms include user-based collaborative filtering, item-based collaborative filtering, matrix factorization, and deep learning models.</li><li>Building recommendation systems involve using tools and frameworks such as Surprise, LightFM, TensorFlow Recommenders, and Apache Mahout.</li></ul>

Building Smart Recommendation Systems

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