A genetic algorithm solution to the collaborative filtering problem

作者：

Highlights：

• A genetic algorithm based solution for the collaborative filtering was proposed.

• This model was tested on weights computed with different similarity metrics.

• The performance of different metrics after evolutionary approach was compared.

摘要

•A genetic algorithm based solution for the collaborative filtering was proposed.•This model was tested on weights computed with different similarity metrics.•The performance of different metrics after evolutionary approach was compared.

论文关键词：Collaborative filtering,Genetic algorithms,Evaluation,Recommender systems,68-04,68T05

论文评审过程：Received 6 July 2015, Revised 12 May 2016, Accepted 12 May 2016, Available online 17 May 2016, Version of Record 25 May 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.05.021