Recommender systems are algorithms aimed at suggesting relevant items to users (items being movies to watch, text to read, products to buy or anything else depending on industries).
Recommender systems are utilized in a variety of areas and are most commonly recognized as playlist generators for video and music services like Netflix, YouTube and Spotify, product recommenders for services such as Amazon, or content recommenders for social media platforms such as Facebook and Twitter.
Resources -
/ recommender-systems-memory-based-collabora...
https://www.analyticsvidhya.com/blog/...
• Model Based Collaborative filtering in Pyt...
Github Code -
https://github.com/psariya/DataMining...
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