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.

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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.

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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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