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Basic Model Based Collaborative Filtering
Abdul Rahman Sattar
Total time needed:
~5 hours
See details (learning objective, target audience, etc)...
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
Additional Resources...
BOOK_CHAPTER
8. Naive Bayes Collaborative Filtering from "Recommener Systems The Textbook"
Naive Bayes model for collaborative filtering
45 minutes
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