MIT-xPRO-DSxCase-Study-4.3---Products. Case Study 4.3: Products Recommender Instructor: Devavrat Shah Activity Type: Optional Case Study Description: Building your own recommendation system for products on an e-commerce website, like the examples discussed for Amazon.com. Make new Product Recommendations Why this Case Study? By following some simple steps you can develop your own version of a recommendation engine which forms the basis of several e-commerce websites like Amazon.com. This will help you develop an appreciation for the sorts of innovations that underpin the rise and ubiquity of online retailers and e-commerce portals. You can apply these tools to new retail ventures of your choice. Self-Help Documentation: In this document, we walk through some helpful tips to get you started with building your own Recommendation engine based on the case studies discussed in the Recommendation systems module. In this tutorial, we provide examples and some pseudo-code for the following programming environments: R, Python. Download Self-Help Documentation Time Required: The time required to do this activity varies depending on your experience in the required programming background. We suggest planning somewhere between 1 & 3 hours. Remember, this is an optional activity for participants looking for hands-on experience.