针对目前上下文感知推荐系统主要研究方向为用户和系统,而没有结合实际交通网络位置特点进行研究的问题,本文提出了一种基于交通网络数据优化的地理信息推荐系统.该系统在协同过滤推荐模型基础上结合交通网络数据的地理信息对推荐算法进行改进.实验结果显示推荐质量获得明显提升.
In view of the problem that current context-aware recommender systems take users and systems as the main research direction and do not consider actual transportation network location characteristics,this article introduces a geographic information recommender system optimized by transportation network data. The system combines with transportation network data of geographic information in the context-aware recommender system to optimize the recommended results. Experimental results show that the recommended quality get improved significantly.