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。
应用推荐