data sparsity

常见例句

The collaborative filtering (CF) algorithms often suffer from data sparsity problem.
评分矩阵数据稀疏问题严重影响协同过滤推荐性能。
Translation template can solve the problem of data sparsity, large storage space and low matching precision of examples.
利用翻译模板可以有效的解决翻译实例的数据稀疏问题、简化实例库的规模并提高实例匹配的精确率。
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。