Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

IBM

Understanding AI Recommendation Engines - From Collaborative Filtering to Personalization

IBM via YouTube

Overview

Watch an 11-minute educational video exploring the fundamentals of AI recommendation engines and their role in shaping personalized online experiences. Dive into the mechanics behind recommendation systems that suggest products, videos, and content, with IBM expert Martin Keen explaining key concepts like collaborative filtering and content-based filtering. Learn about the benefits and challenges of implementing AI recommendation engines while discovering how machine learning algorithms power the personalization features encountered in daily online interactions.

Syllabus

What is an AI Recommendation Engine?

Taught by

IBM Technology

Reviews

Start your review of Understanding AI Recommendation Engines - From Collaborative Filtering to Personalization

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.