Building Similarity Based Recommendation System

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Building Similarity Based Recommendation System provided by Coursera is a comprehensive online course, which lasts for 2 hours worth of material. Building Similarity Based Recommendation System is taught by Bhaskarjit Sarmah. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Coursera Project Network via Coursera

2 hours worth of material

Upcoming

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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Language

English
Certificate
Paid Certificate Available
Date of Start
31st October, 2022
Level
Intermediate
Price
Paid Course
Provider
Coursera
Taught By

Bhaskarjit Sarmah
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Building Similarity Based Recommendation System

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