Interactive recommender systems: A survey of the state of the art and future research challenges and opportunities

作者：

Highlights：

• We identify shortcomings of current recommender systems.

• We present an interactive recommender framework to tackle the shortcomings.

• We analyze existing interactive recommenders along the dimensions of our framework.

• Based on the analysis, we identify future research challenges and opportunities.

摘要

•We identify shortcomings of current recommender systems.•We present an interactive recommender framework to tackle the shortcomings.•We analyze existing interactive recommenders along the dimensions of our framework.•Based on the analysis, we identify future research challenges and opportunities.

论文关键词：Recommender systems,Visualization,User control

论文评审过程：Received 17 November 2015, Revised 18 January 2016, Accepted 8 February 2016, Available online 2 March 2016, Version of Record 17 March 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.02.013