To overcome the difficulty of data sparsity in recommendation systems, a collaborative filtering (CF) algorithm based on clustering basal users is presented.

• 摘要为了降低数据稀疏性的影响，提高推荐系统的推荐生成质量，提出了一种基于多层相似性用户聚类的协同过滤推荐算法。