【作者】 孙静； 郭奇； 张志强； 冯建华；

【机构】 清华大学计算机科学与技术系软件研究所；

【摘要】 <正>1引言Internet在其诞生后的三十多年里已经迅速膨胀为一个信息海洋。随着信息的爆炸性增长,用户想在Web上搜索到自己想要得到的确切信息已经是越来越难。搜索引擎是目前广泛使用的一种Internet资源查询工具,但大量的返回结果往往需要用户自己进行进一步的人工过滤。在这种形势下,用户的个性化服务应运而生。更多还原

【Abstract】 The personalization of Internet Service is ineluctable,with the final goal of satisfying the complex and variable requirements of the individual.The most important work of personal service is the analysis of the user’s interesting.The methods that many systems nowadays have adopted are bare of the level describing how interesting the resource is to the user,or the system need user to tell it this level on the user’s own initiative.To avoid the similar problem,we put forward a method based on the domain oriented search system.This method track the searching and exploring behavior of the user,make statistic of the level of user’s interest.and form the user profile. Consequently we can recommend the resources which are more probably interesting to the user.更多还原