A fuzzy approach for natural noise management in group recommender systems
作者：
Highlights：
• Natural noise management for collaborative filtering-based group recommendation.
• Novel fuzzy approach for natural noise management for group recommender systems.
• Greater flexibility, robustness of noise management for group recommender systems.
• Case study on well-known recommendation datasets in the movies domain.
• Impact of the proposal regarding the group size, aggregation approach and strategy.
摘要
•Natural noise management for collaborative filtering-based group recommendation.•Novel fuzzy approach for natural noise management for group recommender systems.•Greater flexibility, robustness of noise management for group recommender systems.•Case study on well-known recommendation datasets in the movies domain.•Impact of the proposal regarding the group size, aggregation approach and strategy.
论文关键词：Natural noise,Group recommender systems,Collaborative filtering,Fuzzy logic,Computing with words
论文评审过程：Received 4 May 2017, Revised 27 October 2017, Accepted 31 October 2017, Available online 3 November 2017, Version of Record 13 November 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.10.060
