如果一个元素的兴趣级别足够高，那么它就成为一个里程碑(landmark)，这是一个隐式创建的书签。
If an element's interest ranks high enough, it becomes a landmark, which is an implicitly created bookmark.
采用了基于向量空间法的隐式兴趣学习方法，能够在没有用户的直接干预下学习到用户的兴趣。
Adopt the method of hidden interest learning based on VSM, and it can learn user's interests without users' direct guidance.
提出了基于搜索历史的用户兴趣的表达方法和自动隐式学习算法。
The expression and auto implicit learning algorithm of user profile based on user search histories are given in this paper.
应用推荐