Summary
This concludes the first part of our journey into recommender systems. They are an extremely important part of today's online business models and their usefulness is ever-growing, in direct relation to the exponential growth of data generated by our connected software and hardware. Recommender systems are a very efficient solution to the information overload problem—or rather, an information filter problem. Recommenders provide a level of filtering that's appropriate for each user, turning information, yet again, into a vector of customer empowerment.
Although it's critical to understand how the various types of recommender systems work, in order to be able to choose the right algorithm for the types of problems you'll solve in your ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access