priscila-pco/baseline-rs

python implementation baseline recommender systems

Overview

This repository is a collection of Python implementation of baseline Recommender Systems

Installation

The code is developed in Python3, and the following Python libraries are required: pandas, numpy, math, pickle.

As each of the baseline Recommender System has a IPython Notebook version, if you prefer to run the IPython Notebook version, Anaconda will be recommended to obtain a local IPython Notebook environment.

Item-Based Collaborative Filtering

run the python code

python3 item-based-collaborative-filtering.py

run the IPython Notebook

After Anaconda installation, open Anaconda commandline and type the following command to fire up IPython Notebook.

jupyter notebook

In the directory of IPython Notebook, open the item-based-collaborative-filtering.ipnb.