Covers: application of Content Based RecSys
Estimated time needed to finish: 20 minutes
Questions this item addresses:
  • What exactly is a content based recommender system?
  • What are some examples where they can be useful?
How to use this item?

Chapter 1.3.2 pp. 36-7, Chapter 4.1-4.2 pp. 139-42, Chapter 4.3.1.1-4.4.1 pp.143-145

Author(s) / creator(s) / reference(s)
Charu C. Aggarwal
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Content Based Recommender Systems

Contributors
Total time needed: ~2 hours
Objectives
Compilation of learning materials
Potential Use Cases
Speed up your learning by finding topics aggregated in one place
Who is This For ?
BEGINNERBeginner Data Scientist/Machine Learning Engineer interested in learning the basics of content based recommender system
Click on each of the following annotated items to see details.
Resources4/4
BOOK_CHAPTER 1. Recommender Systems: The Textbook
  • What exactly is a content based recommender system?
  • What are some examples where they can be useful?
20 minutes
BOOK_CHAPTER 2. Recommender Systems: The Textbook
  • What is the importance of feature reduction and how can this be accomplished?
10 minutes
BOOK_CHAPTER 3. Recommender Systems: The Textbook
  • What are some examples of measures of discriminative power?
20 minutes
BOOK_CHAPTER 4. Recommender Systems: The Textbook
  • What models are useful in content based recommender systems?
30 minutes

Concepts Covered

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