基于用户画像的遥感信息精准服务系统设计

Design of Precise Service System Based on User Portrait for Remote Sensing Information

随着遥感技术的快速发展,遥感数据越来越多,如何快速精准地为用户提供所需遥感信息,是遥感信息服务系统建设需要解决的问题。提出了一种基于用户画像的遥感信息精准推荐方法,通过收集和分析用户显性和隐性反馈行为,采用主题模型构建用户画像,根据画像模型完成遥感信息的精准推荐,对该方法进行了实验验证。结果表明,为用户生成的数据推荐列表准确率可达90%以上,提高了遥感信息服务效率。

With the rapid development of remote sensing technology and the increasingly mass volume of remote sensing data,how to provide remote sensing information for users efficiency and precisely is a problem to be solved when constructing an information service system of remote sensing data.A precise recommendation algorithm of remote sensing data based on user portrait is proposed,in which the implicit and explicit behaviors of users are collected and studied,user remote-sensing portrait is constructed by using topic model,and the precise recommendation of remote sensing data based on user portrait model is realized.Finally,the performance of this algorithm is verified by test,and the results show that the accuracy of the recommended data list is above 90%,which improves the efficiency of remote sensing data service.