大数据的潜力和挑战-推荐系统的下一级应用
The potential and challenges of Big data - Recommendation systems next level application
摘要：
产生的数据的不断增加为公共和私营公司提供了巨大的可能性。对这些海量数据或大数据的管理将在未来的社会中发挥至关重要的作用，因为它在不同的领域中得到应用。在庞大的数据量中隐藏着如此多的潜力和极其有用的见解。需要可用的高级分析技术，包括预测分析，文本挖掘，语义分析，以使组织能够通过以不同级别的复杂性，速度和准确性分析数据来创造竞争优势。因此，通过侵入我们生活的连接设备，每天伴随使用的无处不在的数字海洋是否仍然有可能达到这种复杂程度？然而，大数据的发展需要对与之相关的问题有一个很好的理解。这就是本文的目的，重点是对大数据分析、机遇和挑战进行特写。
英文摘要：
The continuous increase of data generated provides enormous possibilities of both public and private companies. The management of this mass of data or big data will play a crucial role in the society of the future, as it finds applications in different fields. There are so much potential and extremely useful insights hidden in the huge volume of data. The advanced analysis techniques available including predictive analytics, text mining, semantic analysis are needed to enable organizations to create a competitive advantage through data analyzed with different levels of sophistication, speed and accuracy previously unavailable. Therefore, is it still possible to have that level of sophistication with the ubiquitous numeric ocean that accompanies use every day via connected devices that invade our lives? However, development of big data requires a good understanding of the issues associated with it. And this is the purpose of this paper, which focuses on giving a close-up view of big data analysis, opportunities and challenges.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
