本系统对传统的信息过滤系统进行了自适应改进，通过修改过滤模板算法，让系统根据用户的反馈信息，自适应地调整阈值，达到提高过滤质量的效果。
This system has adaptive improved the tradition information filter system by modifying the arithmetic of filter template. It can change the threshold adaptive according to user's feedback.
本文利用用户的反馈信息，采用改进的自适应学习的方法，及时的对用户模板进行修改，以提高系统过滤精度。
This paper makes use of users'feedback information, and adopts an adaptive method to modify user profile actively in order to improve the precision of filtering system.
然后通过过滤算法根据用户的反馈信息自适应地调整模板和阈值。
Then user feedback is utilized to modify the profiles and thresholds adaptively through filtering algorithm.
然后通过过滤算法根据用户的反馈信息自适应地调整模板和阈值。
Then user feedback is utilized to modify the profiles and thresholds adaptively through filtering algorithm.
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