基于用户兴趣的个性化信息检索方法

目前检索工具的设计大多面向所有用户，而不考虑用户个人的兴趣，导致查准率较低. 由此提出一种基于用户兴趣的个性化检索方法. 该方法利用ODP，把用户的兴趣映射到一个树形结构上，当用户提出查询时，根据用户的兴趣为其提供相应的检索结果. 考虑到人类大脑周期性衰减的生理特点，使用户特征文件随时间动态更新. 实验结果表明，所提出的方法能够基于用户兴趣实现信息的个性化推荐，从而更好地满足用户的需求.

A user interest model-based personalized information retrieval method

At present,the design of information search tools is mostly based on the needs of all users,but not the personal interest,and leads to lower precision.A kind of personalized search method that is based on the interests of users fills the users' interests into a tree structure with ODP.It can provide corresponding search result according to the user's interest when he raises a query.It also considers the human physiological characteristic,seasonal attenuation of human cerebra,and to make the user profile update along with time.The result of experiment suggests that the method can achieve the personalized recommendation based on the user's interest,and therefore it can fulfill the needs of users better.