Recommendation Engine- Collaborative Filtering

October 16, 2017

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Using the Instacart dataset, a series of data transformations are done to implement collaborative filtering in R- inside Azure ML studio.
Collaborative filtering is one of the most effective methods to provide recommendations to a users. Based on the behavior exhibited by a set of users in buying the buying patterns of users for a set of products in their transactions, a collaborative filtering approach is implemented. The training data is prepared as part of a separate experiment, due to latency issues. However, a walk through guide for the entire process [is as attached][1]. [1]: