Nearest Neighbor Collaborative Filtering
Coursera
8 Courses
The University of Illinois at Urbana-Champaign is one of the leading public universities in the country, providing top-tier academic programs and research opportunities within a lively campus community.
Overview
Discover the power of personalized recommendations with our course on Nearest Neighbor Collaborative Filtering, offered through Coursera by the University of Illinois at Urbana-Champaign. This course delves deep into the realm of making tailored suggestions using nearest-neighbor techniques. You'll start by mastering user-user collaborative filtering, a cutting-edge algorithm that pinpoints users with similar preferences to recommend products accurately. As you progress, you'll explore and refine various iterations of the user-user algorithm, gaining insights into its advantages and limitations. The journey continues with a thorough examination of the item-item collaborative filtering algorithm, another prevalent technique that leverages global product relationships derived from user ratings to craft personalized recommendations. Enrich your knowledge in fields such as Artificial Intelligence, Machine Learning, and Data Analysis by joining us in unraveling the intricacies of collaborative filtering methods.
Syllabus
Taught by
Joseph A Konstan and Michael D. Ekstrand
Tags
Coursera
Coursera
1450 Courses
Coursera
Free Online Course (Audit)
English
15 hours
On-Demand
