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Building Similarity Based Recommendation System

Learners:

Instructor: Bhaskarjit Sarmah

Duration:

This 1-hour project-based course on Building Similarity Based Recommendation System is perfect for learners based in North America. Learn how to create user item interactions matrix from the original dataset and recommend items to a new user. Understand how similarity based collaborative filtering recommendation systems work and how to compute similarity between users. Get the skills to collect data for building such systems and recommend items based on products interacted by other similar users. Don't miss out on this great opportunity to learn and grow your skills!▼▲

Course Feature Course Overview Course Provider

Go to class

Course Feature

Cost:

Paid

Provider:

Coursera

Certificate:

Paid Certification

Language:

English

Start Date:

10th Jul, 2023

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This 1-hour project-based course provides learners with an introduction to Building Similarity Based Recommendation Systems. Participants will learn how these systems work, how to collect data for building them, and how to compute similarity between users and recommend items based on products interacted by other similar users. Additionally, learners will create user item interactions matrices from the original dataset and learn how to recommend items to a new user who does not have any historical interactions with the items. This course is best suited for learners based in the North America region, though efforts are being made to provide the same experience in other regions.