Aiming at the problem of data sparsity for collaborative filtering, a novel rough set-based collaborative filtering algorithm is proposed.
针对协同过滤中的数据稀疏问题，提出了一种基于粗集的协同过滤算法。
This paper puts forward a collaborative filtering algorithm based on rough set and fuzzy clustering which automatically fills vacant ratings through rough set theory.
提出了一种基于粗集和模糊聚类相结合的协同过滤推荐算法，通过粗集理论自动填补空缺评分降低数据稀疏性；
In order to evaluate our new collaborative filtering algorithm and combined approach, we have developed a Prototype System for Chinese computer science literature automatic filtering.
为了对我们提出的改进的协作过滤算法和结合过滤方法进行评价，我们研制了一个中文计算机科技文献自动过滤原型系统。
Unfortunately, traditional collaborative filtering algorithm does not consider the problem of item's multiple contents and often leads to bad recommendation when item has multiple contents.
但由于传统的协同过滤算法没有考虑项目多内容问题，存在项目多内容情况时推荐质量较差。
Unfortunately, traditional collaborative filtering algorithm does not consider the problem of item's multiple contents and often leads to bad recommendation when item has multiple contents.
但由于传统的协同过滤算法没有考虑项目多内容问题，存在项目多内容情况时推荐质量较差。
应用推荐