Designing Recommender Systems in Azure Machine Learning

Recommender systems are one of the very common applications in Machine Learning. We have previously discussed the cheat sheet for the recommender system in a previous blog post. Further, we discussed how Amazon has used a recommender system to increase sales of published books.

This is the 13th article in the Azure Machine Learning series which is on the Recommender Systems. In this article, the Hybrid recommender technique called MatchBox Recommender is used. In this article, Live data from Azure SQL Database was used in order to showcase the features of Azure Machine Learning.

The previous articles are listed below. 

Introduction to Azure Machine Learning using Azure ML Studio

Data Cleansing in Azure Machine Learning

Prediction in Azure Machine Learning

Feature Selection in Azure Machine Learning

Data Reduction Technique: Principal Component Analysis in Azure Machine Learning

Prediction with Regression in Azure Machine Learning

Prediction with Classification in Azure Machine Learning

Comparing models in Azure Machine Learning

Cross-Validation in Azure Machine Learning

Clustering in Azure Machine Learning

Tune Model Hyperparameters for Azure Machine Learning Models

Time Series Anomaly Detection in Azure Machine Learning