Practical Recommender Systems

Chapter 3. Monitoring the system

This is one of the shorter chapters but still contains considerable information:

• We’ll begin with what all data-driven applications should start with—analytics.
• I’ll attempt to convince you of the great value of analytics, and we’ll look at how to implement an analytics dashboard.
• I’ll introduce personas and why they’re useful.
• Using these personas, you’ll learn different ways to represent user taste.

In the previous chapters, you learned what a recommender system produces and what you can learn from users visiting a site. At this point, you should understand what you want to achieve and what evidence you’ll need to do that. Now you’re missing only the two parts in the middle as shown in figure 3.1.

Figure ...