Built a product recommender in R that forecasts the most likely SKUs each indivudal customer is willing to buy in ascending order based on the transaction history of the customer database. The R folder shows the source code for the R script that one can run on the data set to get the Output file located in the data folder as well as the R script to copy into Azure Machine Learning Studio for deployment. The Microsoft Azure folder contains deployment instructions explained by two screen shots and the recommenderlab package needed for upload.
The same exact code can be used to recommend articles for customer enagement. Check out my other respoitory "AutoRecommenderUpdate" to automatically update a Product Recommender with featured SKUs once it is built.