LucasBoTang / Recommendations_with_IBM

Recommendation systems for articles on the IBM Watson Studio platform

Data Scientist Nanodegree

Data Engineering

Project 6: Recommendations with IBM

Intro:

For this project you will analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles you think they will like.

Data:

Data includes 2 csv files:

• user-item-interactions.csv: Interactions between users and articles.
• articles_community.csv: Contents of articles.

Tasks:

• Exploratory Data Analysis
• Rank Based Recommendations
• User-User Based Collaborative Filtering
• Content Based Recommendations
• Matrix Factorization