Article: Recommender Systems for Customer Reviews

We discussed in a previous blog post, how test data is used for recommendation with an example of books.  Having discussed how to use recommender systems, now it is time to discussed How to perform Recommender systems user customer reviews using Azure Machine Learning in this latest article. 

Following is the final output for the recommender system where every user is provided with different products using customer reviews using LDA Technique. 

Azure Experiment is available here.

This is the 18th article of the series and you can find the previous articles from the following list. 

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

Designing Recommender Systems in Azure Machine Learning

Language Detection in Azure Machine Learning with basic Text Analytics Techniques

Azure Machine Learning: Named Entity Recognition in Text Analytics

Filter based Feature Selection in Text Analytics

Latent Dirichlet Allocation in Text Analytics

Recommender Systems for Customer Reviews