%0 Journal Article
%T Personalized text content filtering based on typical feedbacks<br>基于典型反馈的个性化文本信息过滤
%A HU Juan-li
%A YAO Yong
%A LIU Zhi-jing
%A <br>胡娟丽
%A 姚勇
%A 刘志镜
%J 计算机应用
%D 2007
%I 
%X This paper presented an approach to perform text content filtering based on content-based and collaborative filtering, using the Probability Model. Introducing the idea of Stereotypic inference, it classified the users into different types and built the model for each type. Moreover, the refreshing of the profiles was based on the feedbacks of the model, and the building of the new profiles was based on the typical profiles. In this way, the precision and the recall were improved significantly.
%K text-content filtering
%K collaborative filtering
%K text classification
%K user's profiles
%K the model<br>基于内容的过滤
%K 协同过滤
%K 文档分类
%K 用户兴趣
%K 典型用户
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=95D66B00EA64B43E&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=F3090AE9B60B7ED1&sid=ED53948CBEC9B9DC&eid=3F0A21BA6175AE88&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=7