retrieval

简明释义

英[rɪˈtriːv(ə)l]美[rɪˈtriːvl]

n. 找回，取回；（计算机系统信息的）检索；恢复，挽回

英英释义

单词用法

同义词

反义词

例句

1.Table 1. Content retrieval options.

表1.内容检索选项。

2.Dynamic WSDL and Schema retrieval from simulation instance.

从模拟实例动态地检索WSDL和模式。

3.This increase the speed of data retrieval.

这可提高检索数据的速度。

4.In the wild, these birds store food for retrieval later during periods of food scarcity.

在野外，这些鸟会储存食物以备日后食物短缺时再取用。

5.Yet again, the retrieval algorithm might not be helpful.

但是，检索算法可能同样也帮不上忙。

6.In a sense, forgetting is our brain's way of sorting memories, so the most relevant memories are ready for retrieval.

从某种意义上说，遗忘是大脑对记忆进行分类的一种方式，这样联系最紧密的记忆随时可以被检索出来。

7.The next step initiates the retrieval process.

下一步将初始化检索流程。

8.Example connector: Content retrieval.

使用连接器：内容检索。

9.The system is designed for efficient data retrieval.

该系统旨在实现高效的数据检索。

10.After the accident, the retrieval of the black box was crucial.

事故后，黑匣子的检索至关重要。

11.The library offers a service for the retrieval of old manuscripts.

图书馆提供古老手稿的检索服务。

12.In machine learning, effective feature retrieval can improve model performance.

在机器学习中，有效的特征检索可以提高模型性能。

13.The search engine uses algorithms for quick retrieval of information.

搜索引擎使用算法快速进行信息的检索。

作文

In today's digital age, the concept of retrieval (检索) has become increasingly significant. The vast amount of information available online makes it essential for individuals to develop effective strategies for accessing and utilizing this data. Whether one is a student conducting research for an academic paper or a professional seeking information to inform business decisions, the ability to perform efficient retrieval (检索) is crucial. One of the primary tools for information retrieval (检索) is the internet. Search engines like Google and Bing have revolutionized the way we find information. By simply entering keywords, users can access millions of resources within seconds. However, this ease of access can also lead to information overload. With so many results, it becomes imperative to refine our search techniques to ensure that we are retrieving relevant and credible sources. This involves using advanced search options, including filters for date, type of content, and specific domains. Moreover, understanding how search algorithms work can enhance our retrieval (检索) skills. Search engines use complex algorithms to determine which pages to display in response to a query. Knowing how to craft queries that align with these algorithms can significantly improve the quality of the information retrieved. For instance, using quotation marks to search for exact phrases or employing Boolean operators like AND, OR, and NOT can help narrow down results and focus on the most pertinent information. In addition to traditional web searches, databases and academic journals offer another layer of retrieval (检索) resources. Platforms like JSTOR, PubMed, and Google Scholar provide access to peer-reviewed articles and scholarly papers that are invaluable for academic research. These databases often require specific search parameters, and understanding how to navigate them effectively is key to successful retrieval (检索). Furthermore, many libraries offer workshops on information literacy, teaching patrons how to locate and evaluate sources effectively. The importance of critical thinking cannot be overstated when it comes to information retrieval (检索). As we access various sources, it is essential to assess their credibility, relevance, and bias. Not all information found online is accurate or trustworthy. Therefore, developing skills to critically evaluate sources will enhance our ability to retrieve information that is not only relevant but also reliable. Another aspect of retrieval (检索) is the organization of information once it has been accessed. Being able to categorize and store retrieved data efficiently can save time and improve productivity. Tools such as citation managers (e.g., Zotero or EndNote) can assist in organizing references and notes, making the process of writing papers or reports much more manageable. In conclusion, the skill of information retrieval (检索) is vital in our knowledge-driven society. From utilizing search engines effectively to navigating academic databases and critically assessing sources, mastering this skill can lead to better decision-making and enhanced learning outcomes. As technology continues to evolve, so too will the methods and tools available for retrieval (检索), making it an ever-important area of focus for anyone seeking to thrive in the modern world.

在当今数字时代，retrieval（检索）的概念变得越来越重要。在线上可用的信息量庞大，使得个人必须制定有效的策略来访问和利用这些数据。无论是学生为学术论文进行研究，还是专业人士寻求信息以指导商业决策，进行高效的retrieval（检索）能力至关重要。 信息retrieval（检索）的主要工具之一是互联网。像谷歌和必应这样的搜索引擎彻底改变了我们寻找信息的方式。用户只需输入关键词，就能在几秒钟内访问数百万个资源。然而，这种便捷的访问也可能导致信息超载。随着结果数量的增加，精炼搜索技巧变得至关重要，以确保我们检索到相关和可信的来源。这涉及使用高级搜索选项，包括按日期、内容类型和特定域进行过滤。 此外，了解搜索算法的工作原理可以增强我们的retrieval（检索）技能。搜索引擎使用复杂的算法来确定在响应查询时显示哪些页面。知道如何构建与这些算法相一致的查询可以显著提高检索信息的质量。例如，使用引号搜索确切短语或采用布尔运算符如AND、OR和NOT可以帮助缩小结果范围，专注于最相关的信息。 除了传统的网络搜索，数据库和学术期刊提供了另一层retrieval（检索）资源。JSTOR、PubMed和谷歌学术等平台提供对同行评审文章和学术论文的访问，这对学术研究至关重要。这些数据库通常需要特定的搜索参数，了解如何有效导航它们是成功retrieval（检索）的关键。此外，许多图书馆提供信息素养的研讨会，教导读者如何有效定位和评估来源。 在信息retrieval（检索）中，批判性思维的重要性不容小觑。当我们访问各种来源时，评估其可信度、相关性和偏见至关重要。并非所有在网上找到的信息都是准确或可信的。因此，发展评估来源的批判性技能将增强我们检索不仅相关而且可靠的信息的能力。 retrieval（检索）的另一个方面是，一旦访问了信息，如何组织这些信息。能够高效地分类和存储检索到的数据可以节省时间，提高生产力。引用管理工具（例如Zotero或EndNote）可以帮助组织参考文献和笔记，使撰写论文或报告的过程更加可管理。 总之，在知识驱动的社会中，信息retrieval（检索）技能至关重要。从有效利用搜索引擎到导航学术数据库，再到批判性评估来源，掌握这一技能可以带来更好的决策和增强的学习成果。随着技术的不断发展，可用于retrieval（检索）的方法和工具也将不断演变，使其成为任何希望在现代社会中蓬勃发展的人的一个永恒关注领域。