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Learner Reviews & Feedback for Building Similarity Based Recommendation System by Coursera Project Network
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About the Course
Welcome to this 1-hour project-based course on Building Similarity Based Recommendation System. In this project, you will learn how similarity based collaborative filtering recommendation systems work, how you can collect data for building such systems. You will learn what are some different ways you to compute similarity between users and recommend items based on products interacted by other similar users. You will learn to create user item interactions matrix from the original dataset and also how to recommend items to a new user who does not have any historical interactions with the items.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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By Abekah C K
•Dec 5, 2020
By Angelina K
•Jan 19, 2021
By 61_Mayank S
•Dec 12, 2020
By DORA M B
•Jan 20, 2021
By Kat R
•Aug 6, 2021
By Wafa A
•Oct 11, 2020
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