6.2 Recommendations Worth a Million: An Introduction to Clustering | 6.2 Recommendations Worth a Million: An Introduction to Clustering | 6 Clustering | The Analytics Edge | Sloan School of Management

<Video 2: Recommendation Systems
6.2.1Video 1: Introduction to Netflix
6.2.2Quick Question
6.2.3Video 2: Recommendation Systems
6.2.4Quick Question
6.2.5Video 3: Movie Data and Clustering
6.2.6Quick Question
6.2.7Video 4: Computing Distances
6.2.8Quick Question
6.2.9Video 5: Hierarchical Clustering
6.2.10Quick Question
6.2.11Video 6: Getting the Data
6.2.12Quick Question
6.2.13Video 7: Hierarchical Clustering in R
6.2.14Quick Question
6.2.15Video 8: The Analytics Edge of Recommendation Systems
>Video 3: Movie Data and Clustering

Quick Question

Let's consider a recommendation system on Amazon.com, an online retail site.

If Amazon.com constructs a recommendation system for books, and would like to use the same exact algorithm for shoes, what type would it have to be?

Collaborative Filtering

Content Filtering

If Amazon.com would like to suggest books to users based on the previous books they have purchased, what type of recommendation system would it be?

Collaborative Filtering

Content Filtering

Explanation

In the first case, the recommendation system would have to be collaborative filtering, since it can't use information about the items. In the second case, the recommendation system would be content filtering since other users are not involved.