Magho / Song-Recommender

Building a song recommend-er system using graph-lab

Poject Description

Building a song recommender using Graphlab

Goals

• Convert an SFrame into a Numpy array.
• Write a Numpy function to compute the derivative of the regression weights with respect to a single feature.
• Write gradient descent function to compute the regression weights given an initial weight vector, step size, tolerance, and L2 penalty.

Packages used

• graphlab

Used data set

song_data.gl

Algorithms used :

• popularity_recommender.
• item_similarity_recommender.