Recommendations-with-IBM

Introduction

This is the project #5 for Udacity Data Science Nanodegree. This project is to analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles that they will like.

Tasks Overview

I. Exploratory Data Analysis

II. Rank Based Recommendations

III. User-User Based Collaborative Filtering

IV. Matrix Factorization

Acknowledgement

Thanks to Udacity and IBM for providing the dataset and the exercise.