retrieval time

简明释义

检吮间

英英释义

例句

1.We need to analyze the retrieval time to improve user experience.

我们需要分析检索时间以改善用户体验。

2.The application was praised for its low retrieval time during peak usage.

该应用因其在高峰使用期间低的检索时间而受到赞扬。

3.A faster retrieval time can lead to higher customer satisfaction.

更快的检索时间可以提高客户满意度。

4.In our new system, the retrieval time for large datasets is under two seconds.

在我们的新系统中，大型数据集的检索时间少于两秒。

5.The database optimization reduced the retrieval time significantly.

数据库优化显著减少了检索时间。

作文

In today's fast-paced digital world, the efficiency of information access is paramount. One of the critical metrics that determine this efficiency is the retrieval time. The term retrieval time refers to the duration it takes for a system to locate and deliver requested data to the user. This concept is particularly relevant in various fields such as computer science, data management, and even everyday internet browsing. When we search for information on the internet, we often take for granted how quickly results appear on our screens. However, behind this seamless experience lies complex algorithms and databases designed to minimize retrieval time. For instance, search engines utilize indexing techniques that allow them to access vast amounts of data within milliseconds. The faster the retrieval time, the better the user experience, as users are more likely to stay engaged when they receive immediate responses to their queries.In the realm of databases, retrieval time becomes even more crucial. Businesses rely on databases to store and manage information, and any delay in retrieval time can lead to inefficiencies and lost opportunities. For example, in an e-commerce setting, if a customer searches for a product and the retrieval time is too long, they may abandon their search and turn to a competitor. Therefore, optimizing retrieval time is essential for businesses that aim to provide excellent customer service and maintain a competitive edge.Moreover, advancements in technology have led to innovative solutions aimed at reducing retrieval time. Techniques such as caching, where frequently accessed data is stored for quick access, play a significant role in enhancing performance. By implementing these strategies, organizations can significantly decrease retrieval time, ensuring that users have a smooth and efficient experience.Additionally, retrieval time is not only important in commercial applications but also in academic research. Researchers often need to access large datasets or literature quickly to support their findings. A long retrieval time can hinder progress and delay important discoveries. As a result, many academic institutions invest in high-performance computing systems and optimized databases to facilitate faster retrieval time for their researchers.In conclusion, retrieval time is a vital aspect of information access in our increasingly digital environment. Whether it’s for personal use, business operations, or academic research, minimizing retrieval time enhances user satisfaction and productivity. As technology continues to evolve, the focus on improving retrieval time will remain a priority, ensuring that we can access the information we need swiftly and efficiently.

在当今快速发展的数字世界中，信息访问的效率至关重要。决定这种效率的一个关键指标是检索时间。术语检索时间指的是系统定位并将请求的数据传递给用户所需的持续时间。这个概念在计算机科学、数据管理以及日常互联网浏览等多个领域都特别相关。当我们在互联网上搜索信息时，我们往往会理所当然地认为结果会迅速出现在我们的屏幕上。然而，在这种无缝体验的背后，隐藏着复杂的算法和数据库，旨在最小化检索时间。例如，搜索引擎利用索引技术，使其能够在毫秒内访问大量数据。检索时间越快，用户体验就越好，因为用户在收到查询的即时响应时，更有可能保持参与。在数据库领域，检索时间变得更加至关重要。企业依靠数据库来存储和管理信息，任何检索时间的延迟都可能导致效率低下和机会丧失。例如，在电子商务环境中，如果客户搜索产品而检索时间过长，他们可能会放弃搜索，转而寻找竞争对手。因此，优化检索时间对于希望提供优质客户服务并保持竞争优势的企业来说至关重要。此外，技术的进步导致了旨在减少检索时间的创新解决方案。诸如缓存等技术可以存储经常访问的数据，以便快速访问，这在提高性能方面发挥了重要作用。通过实施这些策略，组织可以显著减少检索时间，确保用户获得平滑高效的体验。此外，检索时间不仅在商业应用中重要，而且在学术研究中也同样重要。研究人员通常需要快速访问大型数据集或文献，以支持他们的发现。长时间的检索时间可能会阻碍进展，延迟重要发现。因此，许多学术机构投资于高性能计算系统和优化数据库，以促进研究人员更快的检索时间。总之，检索时间是我们日益数字化的环境中信息访问的重要方面。无论是个人使用、商业运营还是学术研究，最小化检索时间都能提高用户满意度和生产力。随着技术的不断发展，改善检索时间的关注仍将是一个优先事项，确保我们能够迅速有效地访问所需的信息。