An efficient Recommendation System based on the Optimal Stopping Theory
作者：
Highlights：
• We propose two mechanisms for a content-based recommender system.
• The proposed mechanisms adopt principles of Optimal Stopping Theory.
• The proposed models maximize the value of the recommendation.
• Our mechanisms do not require any complex modeling.
• Our models do not require any training process.
摘要
•We propose two mechanisms for a content-based recommender system.•The proposed mechanisms adopt principles of Optimal Stopping Theory.•The proposed models maximize the value of the recommendation.•Our mechanisms do not require any complex modeling.•Our models do not require any training process.
论文关键词：Recommender Systems,Optimal Stopping Theory,Quality of Recommendation,Stochastic decision making
论文评审过程：Available online 13 May 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.04.039
