Python code used to demonstrate a potential enhancement to the Montana State University ETD collection. This is a toy example that makes use of Term Frequency Inverse Document Frequency, Cosine Similarity, and Vector Space Modeling to detect relatedness among documents in a corpus to recommend similar papers to a repository user.
View the presentation here
