数据稀疏性是协同过滤系统面临的一个巨大挑战。
Data sparseness is a serious problem in collaborative filtering system.
对于半监督方法，目前存在的一个严重的问题是数据稀疏问题。
The main disadvantage of the way is the problem of data sparsity.
传统的协同过滤主要存在着：精确性、数据稀疏与冷启动的问题。
The traditional Collaborative Filtering has shortcoming as follows: accuracy, data sparse and cold-start.
这两种方法均不受外部资源所限，能在一定程度上解决数据稀疏问题。
These two methods are both not subject to external resource constraints and would solve the data sparse problem in some extent.
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。
Aiming at the problem of data sparsity for collaborative filtering, a novel rough set-based collaborative filtering algorithm is proposed.
本文提出的算法能够有效缓解数据稀疏性问题，提高推荐系统的推荐质量。
The improved methods can effectively alleviate the problem of sparsity and improve the quality of recommendation system.
协同过滤是目前应用较为成功的信息推送技术，但也遇到了数据稀疏性、冷启动等种种问题。
Collaborative filtering is a successful technology in information push, but this method has encountered data sparse, cold start and other issues.
使用伪词可以避免有指导的词义消歧方法中的数据稀疏问题，充分验证词义分类器的实验效果。
Using pseudowords we can overcome data sparseness problem in supervised WSD and fully verify the experimental effect of word sense classifier.
利用翻译模板可以有效的解决翻译实例的数据稀疏问题、简化实例库的规模并提高实例匹配的精确率。
Translation template can solve the problem of data sparsity, large storage space and low matching precision of examples.
现有平滑技术利用不同的折扣和补偿策略来处理数据稀疏问题，在计算复杂性与合理性方面各有其优缺点。
The present smoothing techniques deal with the data sparse problem using different discount and compensate strategy, and they have different merit or shortcoming on complexity and rationality.
提出了一种基于粗集和模糊聚类相结合的协同过滤推荐算法，通过粗集理论自动填补空缺评分降低数据稀疏性；
This paper puts forward a collaborative filtering algorithm based on rough set and fuzzy clustering which automatically fills vacant ratings through rough set theory.
现有平滑技术虽然已有效地对数据稀疏问题进行了处理，但对已出现事件频率分布的合理性并没有作出有效的分析。
The present smoothing techniques have solved the data sparse problem effectively but have not further analyzed the reasonableness for the frequency distribution of events occurring.
本文利用三元模型，通过引入相似词，采取“词形-相似词-词性”三步回退的策略，比较好地缓解了数据稀疏问题。
Based on trigram 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.
利用合成孔径雷达（SAR）图像中目标的后向散射特性和目标散射中心的理论，分析了SAR图像数据稀疏性的成因。
The sparsity of SAR image data was discussed based on the backscattering properties of targets in the image.
电子商务系统规模的日益扩大，协同过滤推荐方法也面临诸多挑战：推荐质量、可扩展性、数据稀疏性、冷开始问题等等。
But, with expansion of E-commerce system's size, collaborative filtering approach suffer from many challenges, for instance, quality of recommendations, scalability, sparsity, cold-start problem.
LPLE算法解决了传统LLE算法在源数据稀疏情况下的不能有效进行降维的问题，这也是其他传统的流形学习算法没有解决的。
LPLE is better than LLE in that it gives the global coordinates of the sparse data and this isn't be resolved by the other conventional algorithm.
但是随着用户数量和系统规模的不断扩大，协同过滤推荐技术将面临严重的数据稀疏性、超高维、冷启动和实时推荐等方面的挑战。
However, collaborative filtering has got challenges, such as data sparsity, high dimensions, cold start, and real-time recommendation issues with the fast growth in the amount of users and items.
对于稀疏查找来说，它将根据每条输入记录来生成数据库查询，并且查询将被发送给目标数据库以获取结果。
For sparse lookup, a database query is generated based on each input record and the query is sent to the target database to get the result.
稀疏缓存仅存储数据的子集，可以被延迟填充。
The sparse cache only stores a subset of the data and can be populated lazily.
稀疏和普通查找的概念请阅读 查找 Teradata数据小节。
The concepts of the sparse and normal lookups are fully explained in the Look up Teradata data section.
虽然它将占用更多的空间，但它可以提供更好的灵活性，因为您可以删除任何不需要的文件或者数据包，而这是您在使用稀疏模型时无法实现的。
While it takes up more space, it offers more flexibility, as you can remove any file or package you might not wish to have, that you may not be able to do with a sparse model.
在采用稀疏分布式内存的超级计算机里，记忆与数据处理之间的差异消失了。
But in a parallel supercomputer with a sparse, distributed memory, the distinction between memory and processing fades.
数据的稀疏性意味着社会网络并不总是可用，在这种情况下提出一种解决方案，很好地利用了社会网络的有效信息。
Although the sparseness of the data may suggest that the social network is not always applicable, a solution to utilize the network in these cases is presented.
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。
With the in-depth study, however, appearing sparse data imaging, which traditional methods can not used to reconstruct a clear image.
泥浆脉冲方法目前应用较多，但数据流量稀疏，电流环技术作为远距离传输手段已被广泛的应用于其它领域，技术成熟。
Mud pulse modulation data flow is thin, but current transmitter as far distance transmission means has been widely applied other field, technology is mature.
为避免在进行核融合时，支持向量机稀疏性的缺失，提出将数据映射到稀疏特征空间进行研究。
In research, sample data were mapped to sparse feature space to prevent the loss of SVM's sparsity when the kernels were fused.
为了等同的对待每个维，适应稀疏数据，必须对多维数组进行划分。
To treat every dimension equally and adapt to sparse data, it is necessary to partition multidimensional array.
基于提升方法构造的整数小波变换，采用行索引稀疏存储方案，可以对海量影像数据进行高保真的压缩。
The method of sparsely row-indexed storage has been used to compress large volumes of image data, on the base of integer wavelet transform constructed by lift scheme.
基于提升方法构造的整数小波变换，采用行索引稀疏存储方案，可以对海量影像数据进行高保真的压缩。
The method of sparsely row-indexed storage has been used to compress large volumes of image data, on the base of integer wavelet transform constructed by lift scheme.
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