基于RSS数据源的用户兴趣模型改进及应用

在基于RSS数据源的用户兴趣模型研究领域，已有的模型是一种由用户模型根节点、信息类别和用户兴趣子类构成的三层结构的树状用户兴趣模型。本文改进了原有模型的表示形式以及关键词权重判定函数，将关键词权值计算方法中加入日期参数，并且将用户的兴趣分为长期兴趣和短期兴趣,针对两种兴趣采用不同的更新机制。实验表明，改进模型的个性化程度更高，对用户兴趣更新更及时准确。模型应用于农业信息领域，有助于农民及时获得自己需要的个性化农业信息，对农业信息化建设具有一定的应用价值。

Improvement and application of a user interest model based on RSS data sources

A user interest model based on RSS data sources,with a tree structure which has three layers-user point,information sort,and user interest classes-has previously been proposed.In this paper,an improved form of the original model is described: The determination of Key words:weight is improved by adding the date to it,and user’s interest is divided into long-term interest and short-term interest,which have different update mechanisms.The experimental results indicate that the improved user interest model is well-personalized and efficiently updated.The model can be applied to help farmers obtain timely information and contribute to the development of agricultural information.