SKKU - Recommender Systems
- Offered byCoursera
Recommender Systems at Coursera Overview
Duration | 17 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Recommender Systems at Coursera Highlights
- Earn a Certificate upon completion
Recommender Systems at Coursera Course details
- In this course you will understand the basic concept of recommender systems, understand the Collaborative Filtering
- Understand the Recommender System with Deep Learning, understand the Further Issues of Recommender Systems
Recommender Systems at Coursera Curriculum
Introduction to Recommender Systems
Main recommender systems
Read data, measure accuracy
Principles of Collaborative Filtering
Recommender system application developments: A survey
The Limits of Popularity-Based Recommendations, and the Role of Social Ties
Time Weight Collaborative Filtering
Quiz 1
Quiz 2
Quiz 3
Collaborative Filtering
User-Based CF vs. Item-Based CF
Principles of matrix factorization
Matrix factorization algorithm
Setting Goals and Choosing Metrics for Recommender System Evaluations
Matrix factorization techniques for recommender systems
Matrix Factorization and Recommender Systems
Quiz 4
Quiz 5
Quiz 6
Recommender System with Deep Learning
Introduction to Surprise package
Compare Algorithms and Set Options
Deep Learning Recommendation using Keras 2
Surprise: A Python library for recommender systems
Convolutional Matrix Factorization for Document Context-Aware Recommendation
Deep Learning Based Recommender System: A Survey and New Perspectives
Quiz 7
Quiz 8
Quiz 9
Further Understanding of Recommender Systems
Combination of CF and MF
Processing of large-scale data
Cold start, scalability, binary data
Matrix factorization model in collaborative filtering algorithms: A survey
A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method
DeepFM: a factorization-machine based neural network for CTR prediction
Quiz 10
Quiz 11
Quiz 12
Final Test
Recommender Systems at Coursera Admission Process
Important Dates
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