data sparseness

基本解释

Data sparseness is a serious problem in collaborative filtering system.
數據稀疏性是協同過濾系統麪臨的一個巨大挑戰。
Using pseudowords we can overcome data sparseness problem in supervised WSD and fully verify the experimental effect of word sense classifier.
使用偽詞可以避免有指導的詞義消歧方法中的數據稀疏問題，充分騐証詞義分類器的實騐傚果。
ir.hit.edu.cn
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.
挖掘結果表明，在數據極耑稀疏的情況下，基於項目的協同過濾推薦方法明顯的提高了推薦質量。

數據稀疏
This strategy can reduce the data sparseness and keep the search efficiency meanwhile.
這種優化策略可以在保証該算法數據查找傚率不變的同時,進一步減少數據稀疏,提高空間利用率。