Optimization of Movie Recommender Systems using Differential Evolutionary Bees Algorithm for Clusterings

Published: 17 February 2022| Version 1 | DOI: 10.17632/hx9bgh2cgp.1
Contributors:
Melika Helali, Mohammad Hossein Rezvani

Description

One of the most significant issues in recommender systems is finding the optimal number of clusters and convergence speed. A combinatorial Bees Algorithm (BA) and Differential Evolution (DE) are proposed to cope with this problem. In this research, we perform a comparative study on the efficiency of DE for a movie recommender system and the best hyperparameter settings on the MovieLens dataset.

Files

Steps to reproduce

Please read the ReadMe file.

Institutions

  • Qazvin Islamic Azad University

Categories

Machine Learning Algorithm

Licence