Ementorhub

Introduction to Recommender Systems: Non-Personalized and Content-Based

This course is part of Recommender Systems Specialization

Instructors: Joseph A Konstan +1 more

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Skills you'll gain

AI Personalization

Data Collection

Persona Development

Descriptive Statistics

Taxonomy

Machine Learning

Java Programming

Predictive Analytics

Spreadsheet Software

Algorithms

Statistical Methods

There are 6 modules in this course

After completing this course, you will be able to compute a variety of recommendations from datasets using basic spreadsheet tools, and if you complete the honors track you will also have programmed these recommendations using the open source LensKit recommender toolkit. In addition to detailed lectures and interactive exercises, this course features interviews with several leaders in research and practice on advanced topics and current directions in recommender systems.

Introducing Recommender Systems

Non-Personalized and Stereotype-Based Recommenders

Content-Based Filtering -- Part I

Content-Based Filtering -- Part II

Course Wrap-up