基于加权关联规则的智慧旅游推荐系统

摘要

For Iack of wisdom tourist attractions recommending,this paper presents an inteI igent recommendation impIementation. Through the anaIysis of user interaction behavior data,this paper get users' degree of interest and degree of recognition in browsed attractions.On this basis,the use of AWMS-FPgrowth(muItipIe minimum supports weighted FP-growth) aIgorithm to dig out potentiaI modes.These modes are recommended as the basis for attractions. Compared with the traditionaI recom-mendations,the system has greatIy improved at accuracy and noveIty.%针对智慧旅游中景点推荐方面的不足，给出一种智能推荐的实现方案，通过对用户交互操作行为数据的分析，获取用户对浏览景点的兴趣度和认同度，在此基础上，运用 AWMS-FPgrowth（多最小支持度加权 FP-growth）算法挖掘出潜在的模式，形成规则，作为景点推荐的依据，与传统推荐方式相比，系统在准确性和新颖性上有很大的提高。