基于用户模型匹配的水情信息可视化研究与实现

水利信息化平台发展迅速,但水情信息具有来源广泛、类型丰富的特点,用户难以在多而复杂的水情信息中快速找到自己想要的水情信息。通过水情信息可视化的方法,将水情数据转化为用户可以直观理解的视觉形式,定制个性化的地图、设计不同用户界面风格。为解决大量水情信息可视化产生的视觉混淆问题,采用基于用户模型匹配的推荐算法分别对水情站点进行推荐、实现水情信息的过滤,对推荐站点重点可视化。同时,为了增强个性化展示的效果,还采用基于概率的用户模型匹配算法为不同的用户匹配个性化水情信息可视化界面。

Research and Implementation of Individualized Hydrological Information Visualization Based on User Model Matching

Hydrological informatization platform is being developed rapidly. However, the hydrological information has the characteristics of wide-source and abundant-type. It is difficult for users to find the hydrological information quickly when facing a great deal of complicated and complex hydrological information. Through the method of hydrological information visualization, the hydrological data is transformed into a visual form that can be intuitively understood by users. In addition, personalized maps are customized and different user interface styles are designed. In order to solve the visual confusion caused by a large number of hydrological information visualization, the recommendation algorithm based on user model matching is suggested to the hydrological situation sites, realizing filter of hydrological information and focusing on the recommendation sites visualition. Meanwhile, the user model matching recommendation algorithm based on probability is adopted to supply different users with personalized hydrological information visualization interface, which can further enhance the effect of personalized display