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Learner Reviews & Feedback for Building Similarity Based Recommendation System by Coursera Project Network
24 ratings
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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1 - 5 of 5 Reviews for Building Similarity Based Recommendation System
By Angelina K
•Jan 19, 2021
it 's not possible to insert backets wich mach book into Jupiter notebook session the session is soo short, never 120. min, its not worth the money
By Abekah C K
•Dec 5, 2020
Very nice projects! It gave me new insights about how to solve other problems
By 61_Mayank S
•Dec 12, 2020
nice
By DORA M B
•Jan 20, 2021
It is a good introduction to collaborative filtering.
By Wafa A
•Oct 11, 2020
Awful
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