Question

Machine learning and recommendations engine relation

Answer 1

Explanation:

Recommendation engines basically are data filtering tools that make use of algorithms and data to recommend the most relevant items to a particular user. Or in simple terms, they are nothing but an automated form of a “shop counter guy”. You ask him for a product.

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Answer 2

Answer:

Explanation:

Machine learning algorithms in recommender systems are typically classified into two categories — content based and collaborative filtering methods although modern recommenders combine both approaches. ... The task of machine learning is to learn a function that predicts utility of items to each user