dipmukherg / Recommendation-System

Overview:

Here we have explored and implemented different ways to develop collaborative and latent-factor based Recommendation System.

1. MovieLens 100K Dataset was used for this.
2. u1.base was used as Train data and u1.test was used as Test data.
3. For convenience UtilitiMatrix(Where each element U[u,i] represents rating given by u user to i movie) was saved as a Scipy sparse matrix “UtilityMatrix.npz” and used throughout.