摘要
文本过滤为因特网上用户提供信息服务 ,旨在帮助用户选择和处理自己感兴趣的文本 .本文提出了基于合作模式的文本过滤模型 .其基本思想是根据用户评注将用户分成若干类别 ,综合类别内外用户评注影响 ,给出了文本推荐机制 ,将相关文本推荐给用户 .此外 ,利用相关反馈进行类别和参数重新调整 ,可以有效地改善过滤的效率 .该方法不仅适用于单纯文本介质 。
Text filtering aim Sat helping users process online texts related to their interests. The paper presents the model for text collaborative filtering. Its main idea is shown as follows: It divided users into several classes based on users annotations. Considering the influences from the inner and outer of the classes, the paper puts forward the recommendatory mechanism, it can push the related texts into users interfaces according to the influencing intensities. In addition, The classes and parameters can be re calculated in order to improve the efficiency of filtering. The approach can be applied to text format and other media, for instance, VCD,CD, image, mp3,software etc.
出处
《小型微型计算机系统》
CSCD
北大核心
2001年第11期1372-1374,共3页
Journal of Chinese Computer Systems
