基于用户情境的POI个性化推荐模型

Context-Based Personalized POI Recommendation Model

提出了一种基于用户情境的POI个性化推荐模型,结合模糊数学中的隶属度概念,从空间、时间及属性3个方面分析了用户情境与POI之间的关联度,并利用关联度对推荐结果进行排名。实验表明,推荐结果具有较好的精度,时间在较大程度上影响POI的推荐结果。

This paper proposes a context-based personalized POI recommendation model, by using membership degree of fuzzy mathematics to analyze the correlation between user context and POI in three aspects： space, time and other properties, and the results of recommendation are ranked by their correlations. Experiments show that the proposed method has good accuracy, and time can have a great influence on the results of recommendation.