数据稀疏 meaning in English
data sparse
Examples
- The relative frequency training ( rft ) method is used to estimate the model parameters . and the problem of the data sparseness is solved through the backing off data smoothing algorithm
同时采用了回退式参数平滑算法来解决了一阶隐马尔可夫模型的数据稀疏问题。 - The method based on statistics has the problem of training data ' s rarefaction , and what restricts the more progress of corpus is the too large workload of manual tagging
基于统计的汉语自动分词方法存在训练数据稀疏的问题，而人工标注工作量过大又制约着语料库规模的进一步扩大。 - But in many cases , the traditional algorithms are hard to apply , or the application effects are not good . these cases include noisy data , redundant information , incomplete data , and sparse data in database . neural networks can acquire knowledge by training set
本文针对现有数据挖掘方法在很多情况下难以推广应用，例如对于有噪声的数据、有冗余的信息、数据不完整、数据稀疏等情况下，这些传统算法的使用效果往往不佳。 - There are several problems in traditional systems from the current b2c website electronic commerce personalization recommendation system : data sparsity , the commodities which are purchased or rated by users only occupy the total commodity number about 1 % ; new project problem , the new user and the new commodity which doesn ’ t be purchased or rated can ’ t be recommended ; solely recommend means , long data processing and low recommendation precision
本文通过对当前b2c网站的电子商务个性化推荐系统分析,发现传统的推荐系统有如下问题:数据稀疏性问题,用户购买或评分的只占总商品数的1 %左右;新项目问题,对于未被购买或评分的新商品、新用户一般不能进行推荐;推荐方法单一、数据处理耗时过长以及推荐精度不高的问题。