Abstract: This paper implements a mobile location-based restaurant navigation and recommend system. Combing the Web2.0 application data, the multiple-mode restaurant information push services are realized, which include the fuzzy constraint search mode, the location-
based browse mode, and the multi-dimension tag-cloud based collaborative sharing mode. Especially, in order to solve the visible information limitation brought by the limited display screen of mobile devices, it proposes a “mobile-oriented multi-dimension tag-cloud visualization approach”, and realizes a tag-cloud relationship-analysis and clustering algorithm, which can achieve a rapid navigation based on user preferences.

Key words: location-based service, Web2.0, tag-cloud, personalized recommendation

摘要： 实现了一个可提供基于位置的移动餐厅推荐及导航服务的系统。结合最新的Web2.0应用数据，实现了多模式的餐厅信息推送服务，包括基于模糊条件约束的查询机制，基于位置的地图浏览模式和基于三维标签云的协同信息共享机制，为用户提供实时的基于位置的餐厅个性推荐及导航。同时，针对移动手机屏幕较小，显示内容受限的问题，研究并提出了一个“面向移动终端的多维标签云可视化方法”，并实现了一种标签云关联分析和聚类算法，实现了基于用户偏好的快速导航。

关键词: 基于位置的服务, 第二代互联网, 标签云, 个性化推荐