分析了现有文章推荐系统中基于关键词向量的用户模型表示方法存在的不足，提出了基于聚类兴趣点的用户模型表示方法。
After analyzing the disadvantages of the user profile based on-keywords vector in the existing document recommendation system, a novel representation of user profile based on clustering was proposed.
在这种方法中，我们通过考虑一个表示架构的模型的复杂应用程序用例来实际测试一个实现。
In this method, we actually test an implementation by considering a complex application use case which represents a model of the architecture.
“工具友好”不是科学度量；它是一种从工具开发的角度表示模型质量的方法。
Being "tool friendly" is not a scientific measure; it's a way to express the quality of a model from a tool development aspect.
应用推荐