retrieved

简明释义

英[rɪˈtriːvd]美[rɪˈtrivd]

v. 恢复；重新取回；补偿；挽救（retrieve的过去式和过去分词）

英英释义

单词用法

同义词

反义词

例句

1.The data required for the page is retrieved from the database.

页面需要的数据从数据库中检索出来。

2.This information is retrieved from the preference store.

从首选项存储中检索该信息。

3.The value of the control being validated is retrieved.

检索被验证的这个控件的值。

4.A list of friends in JSON is retrieved from the application's assets.

从应用程序的资产检索一个json格式的好友列表。

5.They often retrieved some data from a disk.

他们常常从存储磁盘中检索一些信息。

6.The customer's full name and account balance is retrieved.

检索客户的全名和帐户余额。

7.The archaeologists retrieved ancient artifacts from the excavation site.

考古学家从挖掘现场取回了古代文物。

8.The data was successfully retrieved from the server.

数据已成功检索自服务器。

9.He retrieved the email he accidentally deleted.

他恢复了不小心删除的邮件。

10.She retrieved her lost wallet from the police station.

她从警察局找回了丢失的钱包。

11.The software can easily retrieve information from the database.

该软件可以轻松检索数据库中的信息。

作文

In the age of information technology, the ability to efficiently access and manage data is more important than ever. One term that encapsulates this process is 'retrieved'. When we talk about data being retrieved, we refer to the act of obtaining or recovering information from a storage system, whether it be a database, a cloud server, or even a physical archive. The significance of this action cannot be overstated, as it forms the backbone of research, decision-making, and knowledge dissemination in various fields.For instance, consider a researcher working on a project that requires historical data. This individual must first identify the sources of information, which may include academic journals, government reports, or datasets. Once the sources are located, the researcher will need to access the relevant information, which is where the process of retrieved comes into play. By utilizing search functions or queries, the researcher can successfully retrieve the necessary data to support their findings.Moreover, the concept of retrieved extends beyond just academic research. In everyday life, we often find ourselves retrieving information from our smartphones or computers. Whether it's checking the weather, looking up a recipe, or finding directions, the ability to quickly and accurately retrieve information has transformed how we interact with the world around us. The speed at which we can access this information is a testament to the advancements in technology and the importance of databases and search engines.Furthermore, in the realm of artificial intelligence and machine learning, the process of retrieving relevant data is crucial for training algorithms. For example, when developing a recommendation system for an online platform, the system must be able to retrieve user preferences and behaviors from vast amounts of data. This enables the algorithm to make personalized suggestions, enhancing user experience and engagement.However, the act of retrieved is not without its challenges. As the volume of data continues to grow exponentially, the difficulty of efficiently retrieving accurate and relevant information increases. This has led to the development of advanced search algorithms and data management techniques aimed at improving the retrieval process. For instance, natural language processing (NLP) allows systems to understand and interpret user queries more effectively, leading to better results when retrieving information.In conclusion, the term retrieved is integral to our understanding of how we access and utilize information in today's digital landscape. Whether in academic research, daily life, or technological applications, the ability to retrieve data efficiently is essential. As we continue to navigate an increasingly complex information environment, mastering the art of retrieving relevant data will be paramount for success in any endeavor. Therefore, it is crucial to develop skills and tools that enhance our ability to retrieve information, ensuring that we can harness the power of data to inform our decisions and drive innovation.

在信息技术时代，高效访问和管理数据的能力比以往任何时候都重要。一个概括这一过程的术语是“retrieved”。当我们谈论数据被retrieved时，我们指的是从存储系统中获取或恢复信息的行为，无论它是数据库、云服务器，还是甚至是物理档案。这一行动的重要性不容小觑，因为它构成了各个领域研究、决策和知识传播的基础。例如，考虑一个正在进行需要历史数据的项目的研究人员。这个人首先必须识别信息来源，这可能包括学术期刊、政府报告或数据集。一旦找到来源，研究人员就需要访问相关信息，这就是retrieved过程发挥作用的地方。通过利用搜索功能或查询，研究人员可以成功地retrieve到支持其发现的必要数据。此外，retrieved的概念不仅限于学术研究。在日常生活中，我们经常发现自己在智能手机或计算机上retrieving信息。无论是查看天气、查找食谱，还是寻找方向，快速准确地retrieve信息的能力改变了我们与周围世界的互动方式。我们能够以如此快的速度访问这些信息，证明了技术的进步以及数据库和搜索引擎的重要性。此外，在人工智能和机器学习领域，相关数据的retrieving过程对于训练算法至关重要。例如，在为在线平台开发推荐系统时，该系统必须能够从大量数据中retrieve用户偏好和行为。这使得算法能够做出个性化建议，增强用户体验和参与度。然而，retrieved的行为并非没有挑战。随着数据量的指数级增长，高效retrieving准确和相关信息的难度也在增加。这导致了先进搜索算法和数据管理技术的发展，旨在改善retrieval过程。例如，自然语言处理（NLP）使系统能够更有效地理解和解释用户查询，从而在retrieving信息时获得更好的结果。总之，术语retrieved对我们理解如何在今天的数字环境中访问和利用信息至关重要。无论是在学术研究、日常生活还是技术应用中，高效retrieve数据的能力都是必不可少的。随着我们继续在日益复杂的信息环境中航行，掌握retrieving相关数据的艺术将是任何努力成功的关键。因此，发展提高我们retrieve信息能力的技能和工具至关重要，以确保我们能够利用数据的力量来指导我们的决策和推动创新。