TensorRec is a Python recommendation system that allows you to quickly develop recommendation algorithms and customize them using TensorFlow. TensorRec lets you to customize your recommendation system's embedding functions and loss functions while TensorRec handles the data manipulation and scoring to generate recommendations. It uses this data to learn to make and rank recommendations. For more information, and for an outline of this project, please read this blog post. The following examples show what user/item features and interactions would look like in a TensorRec system meant to recommend business consulting projects (items) to consultants (users).