Our algorithm, item-to-item collaborative filtering, scales to massive data sets and produces high-quality recommendations in real time.
我们的算法，也就是商品到商品的协同过滤，符合海量的数据集和产品量，并能实时得到高品质的推荐。
One such project involves projecting onto a reflective dome, like the ones used in planetariums, simulations or visualizations of massive data sets.
其中一个项目使用了反射穹顶投影技术，就像在天文馆中使用的一样，对大量数据进行模拟或可视化。
Distributed processing allows you to leverage up to 3 additional computers to dramatically reduce processing time and tackle massive data sets.
分布式处理可以让您利用电脑多达3个附加大幅减少处理时间和处理大量数据集。
With the current technology of Information Retrieval, this paper proposes a method of automatic keyword extraction from massive data sets based on feature combination.
本文利用现有的信息检索技术，对海量数据集上自动抽取关键词问题进行了研究，给出了一个基于特征组合的关键词自动抽取方法。
But all this power isn't being used to play giant games of Modern Warfare 2 - it enables scientists to analyse massive data sets and run simulations that might take weeks on lesser computers.
但是所有这些功能不是用来玩巨型游戏《现代战争2》的——它使科学家能够分析海量的数据集，以及运行模拟数据，而这些在较小的计算机上运算可能需要几个星期的时间。
Once you add in the complicating factors of gas and electromagnetic fields, the data sets become dauntingly huge and require massive parallel supercomputing.
每当你加入一个有关气体和电场的复杂因子，数据集都会变得异常庞大并且需要大量的并行超级运算。
The company's great skill—its competitive advantage—is its ability to find meaning in massive sets of data.
这家公司举世无双的本领——即其竞争优势——是有能力在大规模的数据堆中发现意义。
The broad application of systems biology approaches in biomedical science has created massive and complex data sets.
系统生物学方法在生物医学科学中的广泛应用产生了大量复杂的数据集。
As massive amount of data continuously being collected and stored, knowledge or regular hidden in large data sets are more difficult to find.
同时，随着大量数据不断地收集和存储，隐藏在数据项集之间有价值的规则就越难发现。
The core reason why bigger behavioral data sets are usually better is simple, the authors state: "Certain telling behaviors may not be observed in sufficient numbers without massive data."
在谈到规模较大的行为数据集往往比小规模数据集更具分析价值的核心原因时，三位作者指出：“少数特定的已知行为往往无法在没有庞大数据量作为依托的前提下被准确观察得出。”
The core reason why bigger behavioral data sets are usually better is simple, the authors state: "Certain telling behaviors may not be observed in sufficient numbers without massive data."
在谈到规模较大的行为数据集往往比小规模数据集更具分析价值的核心原因时，三位作者指出：“少数特定的已知行为往往无法在没有庞大数据量作为依托的前提下被准确观察得出。”
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