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Movie Recommender System Using Content-Based Method
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formatted_data docs: added readme May 6, 2019
movie_lens_data
utils docs: complete readme and comment section May 9, 2019
README.md docs: complete readme and comment section May 9, 2019
recommender.py docs: imroved comment section Jul 5, 2019
requirements.txt docs: complete readme and comment section May 9, 2019
result.csv
train_matrix.csv feat: improved algorithm using average value Jul 4, 2019

README.md

Content-Based Movie Recommender System

This is a simple Content-Based Movie Recommender System implemented using Python. I use a modified data from MovieLens Dataset (see formatted_data/).

Please Note I use this program to as demo when teaching content-based recommender system, so this program is not intended to be used in the production.

Prerequisite

This program needs some package that listed in requirements.txt. You can install using the following command:

pip install -r requirements.txt

Usage

See README file in the formatted_data/ folder to see the properties of the data that used in this recommender system and see README in the utils/ folder to explore and understand how I modified the original dataset to create the training and test data.

Materials

You can see the slide (written in Bahasa Indonesia) here: ugm.id/SVMR

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