基于情境的POI个性化推荐方法研究

A Method of Context-based POI Personalized Recommendation

为了实现地图POI推荐服务的个性化和智能化,满足用户兴趣偏好,探讨了POI个性化推荐的情境因素,分析了影响用户对POI个性化需求的多维情境,研究了基于情境的POI推荐方法和步骤,提出了顾及效能的改进TOPSIS个性化推荐算法,着重讨论了推荐算法中地理时空等多维情境的处理策略。通过实验对推荐结果、推荐验证进行分析,证明了本文方法的可行性和有效性。

In order to achieve personalized and intelligentialized POI recommendations for Web maps and adapt services to the users; different requirements, we discuss the context factors of POI personalized recommendations and analyze multidimensional contexts which can influence the personal needs of users. On the basis of research concerning the context-based, methods and process for POI recommendations, an improved algorithm for TOPSIS personalized recommendation, in which the utility of the service is taken into consideration, is proposed. In this study, discussions focus on the treatment strategy for multidimensional contexts （such as geographic space and time） in a recommendation algorithm. An experiment demonstrates that the algorithm is feasibile and valid when generating recommendation results.