# Recommendations and Ranking

Everyone
• 12 videos | 1h 10m 9s
• Includes Assessment
Learn what a recommendation is and what data it involves.

## WHAT YOU WILL LEARN

• Understand what a recommendation system is Understand different types of recommendation systems Understand social choice theory Know the data science questions behind recommendation systems Know how the data can be visualized as a matrix Understand a recommendation algorithm
• Further understand the recommendation algorithm presented Complete study into population averages for recommendation systems Understand how to obtain ranking using population comparisons Learn the next steps in the ranking recommendation algorithm Understand the scoring rule Complete study into using population comparisons and ranking

## IN THIS COURSE

• Learn what a recommenadtion system does and how it works
• Explore more types of recommendation systems
• 3.  What Does A Recommendation System Do? 3
Learn about the heavier implications behind recommendation systems
• 4.  So What Is A Recommnedation Prediction Problem? 1
Now, that we have a good idea of what recommendation systems are and where they are used, let us look a little closer at the data science questions behind them.
• 5.  So What Is A Recommendation Prediction Problem? 2
Now that we know our data set, let's try to organize it.
• 6.  Recommendation Algorithm 101: Using Pop. Averages 1
So far you have learned what a recommendation system is and where they can be useful. Now learn about an actual algorithm
• 7.  Recommendation Algorithm 101: Using Pop. Averages 2
Continue to learn about the algorithm presented in the last video
• 8.  Recommendation Algorithm 101: Using Pop. Averages 3
Finish off learning about recommendation system algorithms using population averages
• 9.  Rec. Algorithm 101: Using Pop. Comparisons 1
You just finished learning about the first type of recommendation algorithm. Learn about second involving ranking using population comparisons
• 10.  Rec. Algorithm 101: Using Pop. Comparisons 2
Continue to learn about the ranking recommendation algorithm
• 11.  Rec. Algorithm 101: Using Pop. Comparisons 3
Learn about how the scoring rule affects the algorithm
• 12.  Rec. Algorithm 101: Using Pop. Comparisons 4
Finish off learning about recommendation system algorithms using population comparisons and ranking