For All eSpacians

Recommendation Systems

1489 Weeks
From 13 June 2022 to 31 December 2050
Online : Free
Current

A Recommendation System (a.k.a. recommender system) is intended to understand the user preferences, which helps presenting relevant items to her. In this course, you will learn about the different types of recommendation systems. The course is followed by case studies related to our products.

  • Introduction
  • Non-Personalized Recommenders
  • Content-Based Recommenders
  • User-User Nearest-Neighbor Collaborative Filtering
  • Item-Item Nearest-Neighbor Collaborative Filtering
  • Advanced Topics
  • Case Study: Rwaq

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