常見(jiàn)例句

雙語(yǔ)例句

• The collaborative filtering (CF) algorithms often suffer from data sparsity problem.
  評(píng)分矩陣數(shù)據(jù)稀疏問(wèn)題嚴(yán)重影響協(xié)同過(guò)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(shí)例的數(shù)據(jù)稀疏問(wèn)題、簡(jiǎn)化實(shí)例庫(kù)的規(guī)模并提高實(shí)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(duì)協(xié)同過(guò)濾中的數(shù)據(jù)稀疏問(wèn)題，提出了一種基于粗集的協(xié)同過(guò)濾算法。
返回 data sparsity