RACE:GP (Recommender systems: Automatic Creation and Evaluation using Genetic Programming) is a method that uses genetic programming to automatically generate and improve recommender systems on any dataset. This code is used to verify the hypotheses in the thesis:
RACE:GP -- a Generic Approach to Automatically Create and Evaluate Hybrid Recommender Systems
This repository contains two versions of the code, v1, and v2. v2 is used to produce the results found in the thesis, and the code used to produce and analyse the outputs in process_results.
git-lfs is used to store all csv's and pdf's.