...法也称基于用户的协同过滤(User-based Collaborative Filtering)或基于邻居的协同过滤(Neighbor-based Collaborative Filtering);二是基于模型的协同过滤(Model-based Collaborative Filtering)，先用历史数据得到一个模型，再用此模型进行预测。
基于4个网页-相关网页
user-based collaborative filtering 基于用户的协同过滤 ; 基于用户的协同过滤算法
Memory-based Collaborative Filtering 基于内存的协同过滤
Neighbor-based Collaborative Filtering 或基于邻居的协同过滤
MODEL-BASED COLLABORATIVE FILTERING 基于模型的协同过滤
item-based collaborative filtering 基于物品的协同过滤算法 ; 基于项目的协同过滤统
Item-based Collaborative Filtering Algorithms 推荐算法
based Collaborative Filtering Algorithms 推荐算法
e User-Based Collaborative Filtering 基于用户的协同过滤
Item-based Collaborative Filtering Recommendation Algorithms 介绍
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。
The experiment results suggested that IAPCF could provide better recommendation results than the traditional item-based collaborative filtering algorithms.
实验结果表明，IAPCF算法比传统的基于项目的协同过滤算法具有更好的推荐精度。
The result of mining shows that, in the case of the data extremely sparseness, project-based collaborative filtering recommendation method is effective to improve the recommended quality.
挖掘结果表明，在数据极端稀疏的情况下，基于项目的协同过滤推荐方法明显的提高了推荐质量。
应用推荐