Computer Science / Recommender Systems

Building Similarity Based Recommendation System

Brought by: Coursera

Overview

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.

Syllabus

  • Project Overview
    • Welcome to this 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.

Taught by

Bhaskarjit Sarmah

Computer Science / Recommender Systems
Building Similarity Based Recommendation System
Go to course

Building Similarity Based Recommendation System

Brought by: Coursera

  • Coursera
  • Paid
  • English
  • Certificate Available
  • Available at any time
  • intermediate
  • English
MessagesTimelineExceptionsViews14RouteQueries7Models6GateSessionRequest
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