A multi-criteria collaborative filtering recommender system for the tourism domain using Expectation Maximization (EM) and PCA–ANFIS

作者：

Highlights：

• A multi-criteria CF recommender system in tourism domain is proposed.

• Predictive accuracy of multi-criteria CF recommender systems is improved.

• EM algorithm, ANFIS and PCA are applied in the proposed method.

• PCA is applied for solving multi-collinearity problem.

• ANFIS is applied for developing the prediction models.

摘要

•A multi-criteria CF recommender system in tourism domain is proposed.•Predictive accuracy of multi-criteria CF recommender systems is improved.•EM algorithm, ANFIS and PCA are applied in the proposed method.•PCA is applied for solving multi-collinearity problem.•ANFIS is applied for developing the prediction models.

论文关键词：Expectation Maximization,Clustering,PCA,ANFIS,Multi-criteria CF,Tourist recommendation

论文评审过程：Received 12 November 2014, Revised 10 August 2015, Accepted 10 August 2015, Available online 20 August 2015, Version of Record 7 December 2015.

论文官网地址：https://doi.org/10.1016/j.elerap.2015.08.004