Context-aware recommender systems in mobile environment: On the road of future research
作者：
Highlights：
• Scrutiny of the current state of the art in context-aware recommender systems by classifying and studying the distribution of the reviewed research works.
• Thorough literature review of papers published between 2000 and 2016 on context-aware recommender system area.
• Definition of the contextual factors used to make recommendations.
• Identification of the methods employed to measure the relevance of contextual information in order to define an exhaustive contextual model.
• Determination of the techniques used for adopting contextual information to make recommendations.
• Identification of the solutions proposed to solve the cold start problem.
• Discussion of the selection of datasets and the type of experiments used for evaluation.
摘要
•Scrutiny of the current state of the art in context-aware recommender systems by classifying and studying the distribution of the reviewed research works.•Thorough literature review of papers published between 2000 and 2016 on context-aware recommender system area.•Definition of the contextual factors used to make recommendations.•Identification of the methods employed to measure the relevance of contextual information in order to define an exhaustive contextual model.•Determination of the techniques used for adopting contextual information to make recommendations.• Identification of the solutions proposed to solve the cold start problem.• Discussion of the selection of datasets and the type of experiments used for evaluation.
论文关键词：Recommender systems,Mobile environment,Contextual factors,Recommendation process,Systematic review,Mobile context-aware recommender
论文评审过程：Received 17 July 2016, Revised 19 September 2017, Accepted 20 September 2017, Available online 27 September 2017, Version of Record 6 October 2017.
论文官网地址：https://doi.org/10.1016/j.is.2017.09.001
