Evolving context-aware recommender systems with users in mind

作者：

Highlights：

• A novel genetic algorithm-based approach for context-aware recommender systems.

• A means of addressing user concerns, such as battery usage, privacy, etc.

• Accurate and interpretable models that take users’ concerns into account.

• State-of-the-art qualitative and quantitative results on high-dimensional datasets.

摘要

•A novel genetic algorithm-based approach for context-aware recommender systems.•A means of addressing user concerns, such as battery usage, privacy, etc.•Accurate and interpretable models that take users’ concerns into account.•State-of-the-art qualitative and quantitative results on high-dimensional datasets.

论文关键词：Context-aware recommender systems,Neural networks,Genetic algorithms,Users concerns

论文评审过程：Received 21 February 2021, Revised 4 October 2021, Accepted 4 October 2021, Available online 22 October 2021, Version of Record 28 October 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116042