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.
出处
《情报理论与实践》
CSSCI
北大核心
2015年第5期86-89,104,共5页
Information Studies:Theory & Application
关键词
情境感知
移动用户
个性化推荐
context awareness
mobile user
personalized recommendation