What should the Specialist do to meet this objective?

A Machine Learning Specialist is designing a system for improving sales for a company. The objective is to use the large amount of information the company has on users’ behavior and product preferences to predict which products users would like based on the users’ similarity to other users.

What should the Specialist do to meet this objective?
A . Build a content-based filtering recommendation engine with Apache Spark ML on Amazon EMR
B . Build a collaborative filtering recommendation engine with Apache Spark ML on Amazon EM
D . Build a model-based filtering recommendation engine with Apache Spark ML on Amazon EMR
E . Build a combinative filtering recommendation engine with Apache Spark ML on Amazon EMR

Answer: B

Explanation:

Many developers want to implement the famous Amazon model that was used to power the “People who bought this also bought these items” feature on Amazon.com. This model is based on a method called Collaborative Filtering. It takes items such as movies, books, and products that were rated highly by a set of users and recommending them to other users who also gave them high ratings. This method works well in domains where explicit ratings or implicit user actions can be gathered and analyzed.

Reference: https://aws.amazon.com/blogs/big-data/building-a-recommendation-engine-with-spark-ml-on­amazon-emr-using-zeppelin/

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