Tag: co-occurrence

Recommendation Systems: From Co-occurrence Counts to Probabilities

In the previous post, we demonstrated how to efficiently compute co-occurrences with matrix algebra and use those calculations to recommend books to users. Though we saw some sensible recommendations come out of this approach, it also suffers from a number of issues, including: The Gatsby Problem: popular books tend to be over represented in the… Read More Recommendation Systems: From Co-occurrence Counts to Probabilities

rwalkLeave a comment

Recommendation Systems: Co-occurrence Calculations

In this first post in a series on recommendation systems, we’re going to develop a powerful but highly intuitive representation for user behavior that will allow us to easily make recommendations. Since we’re going to be making heavy use of the Goodreads data set in the series, we’ll formulate our basic recommendation system problem as… Read More Recommendation Systems: Co-occurrence Calculations

rwalkLeave a comment