基于情境感知的移动电子资源推荐技术研究  

Research on the Mobile Electronic Resources Recommendation Technology Based on Context Awareness

作　　者：田雪筠[1,2] 

机构地区：[1]中国科学院文献情报中心,北京100190 [2]中国科学院大学,北京100049

出　　处：《情报理论与实践》2015年第5期86-89,104,共5页Information Studies:Theory & Application

摘　　要：将情境因素引入个性化推荐系统中,考虑用户—资源—情境之间的三元关系,为处于不同情境、不同兴趣的移动用户推荐满足其需求的合适信息服务,是目前信息推荐新的研究方向。文章提出了基于情境和基于内容相结合的推荐算法,在当前情境下,利用用户的历史情境信息和用户偏好综合为用户推荐信息。实验表明,该算法能够显著地提高个性化推荐的准确率,可为用户提供符合当前情境的个性化资源。To introduce context awareness into personalized recommendation system and consider the ternary relation of user- resources-context, which can recommend appropriate information services to meet the needs of mobile users with different interests in different contexts, is the new research tend of information recommendation. This paper proposes a recommendation algorithm on the basis of the combination of context-based and content-based. In current context, the paper uses historical context information and users preference to recommend information for users. The experiment shows that the algorithm can significantly improve the accuracy of personalized recommendation, which can provide appropriate personalized resources to users in current context.

关 键 词：情境感知 移动用户 个性化推荐 

分 类 号：G250.73[文化科学—图书馆学]