CS 435 - Recommender Systems

3 Credit(s) | Lecture | Graded (includes P/F option)
Not repeatable for credit

Description:
This course covers the basic concepts of recommender systems, including personalization algorithms, evaluation tools, and user experiences. We will discuss how recommender systems are deployed in e-commerce sites, social networks, and many other online systems.

Enrollment Requirements:
Prerequisite: CS 310

042098:1