1) data sparsity
数据稀疏性
1.
Effective hybrid collaborative filtering algorithm for alleviating data sparsity
一种有效缓解数据稀疏性的混合协同过滤算法
2.
In order to solve the technological problems in the data sparsity and real time recommendation,a customer cooperation recommendation mechanism based on the interest degree vector model was proposed with integrating the traditional customer cooperation filtering technology.
针对数据稀疏性与推荐实时性的技术难题,在结合传统用户合作过滤推荐的基础上,提出了基于兴趣度向量模型的用户合作推荐机制。
2) data sparsity
数据稀疏
1.
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。
3) sparse data
稀疏数据
1.
With the in-depth study, however, appearing sparse data imaging, which traditional methods can not used to reconstruct a clear image.
但是随着研究深入,出现稀疏数据成像问题,无法用传统方法重建清晰图像。
2.
This paper focuses on the sparse data interpolation which is based on Kriging method,and an improved method named Regression Kriging method is derivated.
针对稀疏数据的插值问题,基于克里格方法提出了一套应用于数据量少、插值空间广泛的回归克里格方法。
4) Sparse data
数据稀疏
1.
The key problem in N-gram method is the problem of sparse data which still can not be solved effectively now.
N元文法方法存在的一个突出问题是数据稀疏,而现有的解决数据稀疏的平滑方法并不是很理想。
2.
Based on N-gram models, this paper proposes a three-step method of "word-similar word-part of speech" by incorporating the similar words and solves the problem of sparse data to a large extent.
本文采用N元模型的统计方法对现代汉语中的多音词进行自动标音,通过引入相似词,采取“词形-相似词-词性”三步回退的策略,缓解了数据稀疏问题,实验结果说明这个方法是有意义的。
5) sparse data set
稀疏数据集
6) sparse database
稀疏数据库
1.
The writer designs a approach for the sparse database schema.
本文提了一种稀疏数据库设计方法，该方法可降低存储空间提高可读性和运行效
补充资料：连续性与非连续性(见间断性与不间断性)
连续性与非连续性(见间断性与不间断性)
continuity and discontinuity
11an父ux泊g四f“山。麻以角g、.连续性与非连续性(c。nt，n琳t:nuity一)_见间断性与不间断性。and diseo红ti-
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条