协同过滤算法已被成功应用于许多领域,但遇到了可扩展性和精度低等问题.目前提出了许多改进算法,但它们均忽略了用户长短期兴趣对推荐的不同影响,针对这个问题,介绍一种基于查询推荐技术的用户兴趣模型,它能够区分用户长短期兴趣且为用户做出更加精确且不同推荐.%Collaborative filtering algorithm has been successfully applied in many fields, but it has encountered some problems such as poor scalability and low accuracy. Now many improved algorithms all ignore the users' short-term and long-term interests which made different influences on the recommendation. In order to solve this problem, this paper will introduce a user interest model based on the query recommendation technology. It can distinguish the short and long term interests and make more accurate and different recommendation for users.
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