An investigation on the serendipity problem in recommender systems
作者：
Highlights：
• We design a Knowledge Infusion (KI) process for providing systems with background knowledge.
• We design a KI-based recommendation algorithm for providing serendipitous recommendations.
• An in vitro evaluation shows the effectiveness of the proposed approach.
• We collected implicit emotional feedback on serendipitous recommendations.
• Results show that serendipity is moderately correlated with surprise and happiness.
摘要
•We design a Knowledge Infusion (KI) process for providing systems with background knowledge.•We design a KI-based recommendation algorithm for providing serendipitous recommendations.•An in vitro evaluation shows the effectiveness of the proposed approach.•We collected implicit emotional feedback on serendipitous recommendations.•Results show that serendipity is moderately correlated with surprise and happiness.
论文关键词：Recommender systems,Serendipity problem,Knowledge representation,Spreading activation,Affective feedback,Facial expressions
论文评审过程：Received 3 August 2014, Revised 9 June 2015, Accepted 15 June 2015, Available online 29 June 2015, Version of Record 29 June 2015.
论文官网地址：https://doi.org/10.1016/j.ipm.2015.06.008
