movie-recommender

Movie recommendation engine written in C++ using the Netflix matrix factorization technique

Documentation

Matrix factorization techniques for recommender systems

MovieLens Datasets

Instructions

A rating dataset from MovieLens containing 100004 records is imported in the project. It is located in data/ratings.csv

Compilation

mkdir build
cd build
cmake ..
make

Run

Command line

./src/recommender csvfile k eta lambda [iteration number]

Example

Run the recommender on the ratings dataset:

./src/recommender ../data/ratings.csv 2 0.001 0.01

For fast test use small.csv file:

./src/recommender ../data/small.csv 2 0.04 0.0001 100000

Results are written into the results.txt text file.