Project : Recommendations with IBM

Table of Contents

• Motivation

• Descriptions

• Instruction

• Installation

• Data

• Licensing, Authors, and Acknowledgements

Motivation

This project is part of Udacity Data Science Nanodegree. The goal of the project is to develop recommendation engine and propose new articles to the IBM Watson users.

Descriptions

The project shows how users interact with articles. The project steps are segmented as Exploratory Data Analysis, Rank Based Recommendations, User-User Based Collaborative Filtering and Matrix Factorization.

Instruction

Github repository have Jupyter notebook with .ipynb file and copy in html format and project tests files.

Installation

• pandas

• numpy

• matplotlib

• sklearn

• pickle

Data

Dataset is provided by IBM Watson.

user-item-interactions.csv: file contains user interaction.

articles_community.csv: file contains articles description.

Licensing, Authors, and Acknowledgements

Thank to Udacity for a great project, and IBM for the data.