基于情境感知的饮食推荐方法研究

Research on Dietary Recommendation Method Based on Context-Aware

基于情境感知的方法是实现饮食推荐的有效途径。以老人饮食推荐服务为应用背景,利用协同过滤的思想,对传统的协同过滤算法进行了改进,在其中引入了情境相似度和用户偏好度,结合基于SWRL规则推理的方法实现推荐。当两种推荐生成的结果集有冲突时,利用基于情境的推理优化方法来过滤推荐结果集,进而完成混合推荐。实验结果表明,该方法相比传统的基于用户的协同过滤推荐和基于规则推理的推荐能够向用户提供较高质量的饮食推荐服务。

The method which based on context-aware is an effective way to achieve dietary recommendation.Based on the application background of dietary recommendation for the elder,the traditional collaborative filtering algorithm is improved by using the idea of collaborative filtering,in which context similarity and user preference are introduced,and recommendation is realized by combining SWRL rule reasoning.When there is conflict between the two recommendation result sets,the contextbased reasoning optimization method is used to filter the recommendation result sets and then complete the hybrid recommendation.The experimental results show that the proposed method can provide users with higher quality dietary recommendation services than the traditional user-based collaborative filtering recommendation and rule-based reasoning recommendation.