O2O推荐应用中基于多维标签的用户情境知识获取系统设计

Design of user context knowledge acquisition system based onmultidimensional tags in O20 recommendation applications

针对020应用中移动信息推荐的需求,设计了基于多维标签的用户情境知识获取系统,引导移动用户主动分享当前情境内容,以获取多维度、高层次的用户情境知识。文章首先通过多维情境标签系统获得用户对当前情境的感知;其次将情境标签映射为形式化情境概念;最后依据预定义的用户情境知识本体模式利用情境概念建立用户情境知识实例层。

In response to the demand for mobile information recommendation in O2O applications,auser contextual knowledge acquisition system based on multidimensional tags was designed to guidemobile users to actively share current contextual content,thereby obtaining multidimensional andhigh-level user contextual knowledge.Firstly,the user's perception of the current context is obtainedthrough a multidimensional context labeling system.Secondly,map context labels to formalsituational concepts.Finally,based on the predefined user context knowledge ontology schema,auser context knowledge instance layer is established using context concepts.