[Purpose/Significance]Since the traditional information recommendation cannot make full use of the contextual semantic in-formation,this paper studies the context-aware information recommendation service based on context ontology modeling and rule-based reasoning, and improves the quality of information recommendation service.[Method/Process]Through the activity analysis, the frame-work of context-aware information recommendation service system is constructed, which provides a new perspective for understanding context awareness and information recommendation process. The method of information recommendation is based on contextual ontology modeling and rule-based reasoning. Through the matching calculation between the rules and context semantic information,personalized in-formation recommendation is realized.[Result/Conclusion]The results of the movie recommendation experiment show that the framework of information recommendation system from the perspective of activity theory has good scalability. The information recommendation meth-od proposed can make full use of the contextual information and can be applied to a variety of information recommendations,which pro-vides new ideas for information recommendation on mobile devices.%[目的/意义]研究基于情境本体建模与规则推理的移动设备情境感知信息推荐服务,解决传统信息推荐中情境语义信息利用问题,提升信息推荐服务质量.[方法/过程]通过信息推荐活动分析,构建移动设备情境感知信息推荐服务系统框架,为理解情境感知与信息推荐过程提供新视角.基于情境本体建模与规则推理的信息推荐方法,将自定义规则与情境语义信息进行匹配计算,实现个性化信息推荐.[结果/结论]电影推荐服务实验结果证明活动理论视角下情境感知信息推荐服务系统框架具有良好的可拓展性,信息推荐方法能充分利用情境信息,适用于多种信息推荐服务,能为移动设备信息推荐服务研究提供新思路.
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