An evolutionary approach for combining results of recommender systems techniques based on collaborative filtering

作者：

Highlights：

• An automated and effective approach to combine results from RS-techniques.

• The cost reduction for recommender systems design.

• A flexible method for different application scenarios.

• A customizable method able to combine many different RS-techniques’ results.

摘要

•An automated and effective approach to combine results from RS-techniques.•The cost reduction for recommender systems design.•A flexible method for different application scenarios.•A customizable method able to combine many different RS-techniques’ results.

论文关键词：Recommender systems,Collaborative filtering,Combining techniques,Genetic algorithms

论文评审过程：Received 1 December 2014, Revised 15 September 2015, Accepted 31 December 2015, Available online 1 February 2016, Version of Record 16 February 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.12.050