基于项目的三支决策推荐系统
Item-Based Three-Way Decision Recommendation System
摘要: 为了用最小的推荐损失给用户推荐他们感兴趣的项目，解决基于项目的推荐系统只根据项目相似度进行推荐的单一标准，本文提出一种基于项目的三支决策推荐系统。该系统在基于项目的推荐系统的基础上引入三支决策，根据受欢迎程度将项目划分为推荐、延迟推荐和不推荐三类，进而根据用户对推荐项目的兴趣度，优先为用户推荐兴趣度最大的项目。实验结果表明，基于项目的三支决策推荐系统与基于项目的推荐系统、基于用户的三支决策推荐系统和基于项目的二支决策推荐系统相比，推荐精度提高且损失较小。
Abstract: In order to recommend items of interest to users with minimal loss of recommendation, and avoid the single recommendation standard based on the similarity of items in traditional recommendation system, this paper proposes a three-way decision recommendation system. On the basis of the traditional recommendation system, the idea of three-way decision is introduced into it. Any item can be made the categories of recommended, delayed or not recommended according to the pop-ularity of them. Finally, items with the maximum interestingness are recommended to a user. The experimental results show that, compared with the traditional recommendation system, three decision recommendation systems based on users and two decision recommendation systems based on item, the item-based three-way decision recommendation system can improve the quality of recommendation and minimize the total loss of the recommendation.
文章引用：熊文丹, 马建敏. 基于项目的三支决策推荐系统[J]. 计算机科学与应用, 2022, 12(1): 187-198. https://doi.org/10.12677/CSA.2022.121020

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