Basic Model Based Collaborative Filtering
Contributors
- Objectives
- Basic Approaches for Model Based Collaborative Filtering
- Potential Use Cases
- Recommender Systems, Intrusion and Threat Detection
- Who is This For ?
- INTERMEDIATE
Click on each of the following annotated items to see details.
Resource Asset5/8
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
Concepts Covered
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