Covers: theory of Rule-based models

- Use of Rule-based methods for collaborative filtering

Read Section 3.3 of the text book

0 comment

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.

Resources5/8

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

0 comment