Recommender Systems Complete Course Beginner to Advanced - Basics of Recommender System: User Rating Matrix

The video tutorial discusses different methods to estimate user opinions on items, focusing on implicit and explicit ratings. Implicit ratings are derived from user behavior, such as viewing time or purchase history, while explicit ratings involve direct user feedback. The organization of rating scales, including the choice between even and odd scales, affects user comfort and the number of ratings received. The tutorial also covers the concept of user rating matrix density and how biases in user ratings can impact recommendation systems.

What impact do neutral ratings have on the overall rating system?

Discuss the implications of user rating matrix density in recommendation systems.

Why do users tend to give ratings only after a positive experience?