data sparsity

常見例句

The collaborative filtering (CF) algorithms often suffer from data sparsity problem.
評分矩陣數(shù)據(jù)稀疏問題嚴(yán)重影響協(xié)同過濾推薦性能。
Translation template can solve the problem of data sparsity, large storage space and low matching precision of examples.
利用翻譯模板可以有效的解決翻譯實例的數(shù)據(jù)稀疏問題、簡化實例庫的規(guī)模并提高實例匹配的精確率。
Aiming at the problem of data sparsity for collaborative filtering, a novel rough set-based collaborative filtering algorithm is proposed.
針對協(xié)同過濾中的數(shù)據(jù)稀疏問題，提出了一種基于粗集的協(xié)同過濾算法。