Collaborative Filtering Framework for mlpack

by Mudit Raj Gupta for mlpack: scalable C++ machine learning library

The aim of the project is to develop a rigorously tested, well documented collaborative filtering framework for mlpack with a flexible API. The project involves defining the input/output model, implementing collaborative filtering algorithms and deriving various recommendations from the data. The project aims to give maximum user control and freedom to the user to work with the algorithms. The algorithms proposed in this proposal include QUIC-SVD and ALS-WR