Week 11 Discussion

TASK

Your task is to analyze an existing recommender system that you find interesting. You should:

• Perform a Scenario Design analysis as described below. Consider whether it makes sense for your selected recommender system to perform scenario design twice, once for the organization (e.g. Amazon.com) and once for the organization’s customers.

• Attempt to reverse engineer what you can about the site, from the site interface and any available information that you can find on the Internet or elsewhere.

• Include specific recommendations about how to improve the site’s recommendation capabilities going forward.

• Create your report using an R Markdown file, and create a discussion thread with a link to the GitHub repo where your Markdown file notebook resides. You are not expected to need to write code for this discussion assignment.

The recommender sysetem I decided to go with is the one for Macy’s website.

• The target users are all shoppers. The goal is to increase each individual shopper’s UPT(units per transaction), as well as their average dollar spent per transaction. This can be accomplished by suggesting additional items that customers may need based on their current selection. In the case of Macy’s, I think it they only need to perform the scenario design for the customers.

• The website has a section for ‘customers also loved’ as well as a ‘customers also shopped’ section. I think they could definitely do a better job of recommending items though.

• They need to include a section for items that are bought together. Also, if I’m buying a new pair of boots, suggest some socks to go with it. If I’m buyin a suit, suggest some ties. I would like to have it recommend items to make your outfit complete.