Recommenders Engine Example Layout
an Open Source recommendation app
Recommenders Engine Example Layout, a Microsoft Garage project, expands on Microsoft’s popular Recommenders GitHub repository by providing an example app experience for developers, which showcases a variety of recommendation algorithms in action. The Recommenders Engine app is built using Xamarin.Forms and supports iOS, Android, and UWP platforms and features the MovieLens dataset, one of the largest open source collections of movie ratings.
Developers who are interested in experimenting with recommender technology can easily download the sample code from GitHub and create their own product based on the skeleton provided.
The sample app developers can build includes a wide variety of features, including:
- Browse a large dataset of movies
- Select and view movie descriptions
- Create your own personalized favorites list
- Switch between different recommender algorithms
- Switch between pre-generated personas or create your own
Meet the team
Austin Hwang, Blake Wesel, Christine Hsieh, Daran Zhao, Kaitlin Plane, and Sarah Vu
Coaches: Nana Essilfie-Conduah and Yev Bronshteyn