This video on Recommendation Systems explains the concepts and terms related to Recommendation engines, the NLP methods and Machine Learning algorithms leveraged by them to suggest items to target users after segmenting the customers. It discusses the 2 types of recommendation systems (collaborative-based filtering and content-based filtering system) along with their applications in real life. It also demonstrates the Python code implementation for building a book recommendation system using a content-based filtering algorithm.
This is a complex topic, so we'll be taking it step-by-step. By the end of this video, you'll have a good understanding of how to set up and use a recommendation system in Python.
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