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Basic Model Based Collaborative Filtering

Abdul Rahman SattarTotal time needed: ~5 hours
Learning Objectives
Basic Approaches for Model Based Collaborative Filtering
Potential Use Cases
Recommender Systems, Intrusion and Threat Detection
Target Audience
INTERMEDIATE
Go through the following annotated items in order:
VIDEO 1. Overview of Decision Trees
  • Gives an overview of decision trees
60 minutes
BOOK_CHAPTER 2. Decision Trees for Collaborative Filtering from "Recommender Systems The Textbook"
  • Use of Decision trees for recommendations
60 minutes
VIDEO 3. Apriori Algorithm
  • Quick overview of Apriori Algorithm
10 minutes
BOOK_CHAPTER 4. Rule based collaborative filtering from "Recommender Systems The Textbook"
  • Use of Rule-based methods for collaborative filtering
45 minutes
VIDEO 5. Introduction to Probability
  • Quick intro to probability theory
60 minutes
VIDEO 6. Overview of Naive Bayes by Andrew NG
  • Naive Bayes Overview
10 minutes
VIDEO 7. Overview of Naive Bayes
  • Overview of Naive Bayes
25 minutes
BOOK_CHAPTER 8. Naive Bayes Collaborative Filtering from "Recommener Systems The Textbook"
  • Naive Bayes model for collaborative filtering
45 minutes

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