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OBTAINING PRECISION WHEN INTEGRATING INFORMATION

机译:集成信息时获得精度

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摘要

Precision is important when information is to be supplied for commerce and decision-making. However, a major problem in the web-enabled world is the flood and diversity of information. Through the web we can be faced with more alternatives than can be investigated in depth. The value system itself is changing, whereas traditionally information had value, it is now the attention of the purchaser that has value. New methods and tools are needed to search through the mass of potential information. Traditional information retrieval tools have focused on returning as much possible relevant information, in the process lowering the precision, since much irrelevant material is returned as well. However, for business e-commerce to be effective, one cannot present an excess of unlikely alternatives (type 2 errors). The two types of errors encountered, false positives and false negatives now differ in importance. In most business situations, a modest fraction of missed opportunities (type 1 errors) are acceptable. We will discuss the tradeoffs and present current and future tools to enhance precision in electronic information gathering.
机译:当要为商业和决策提供信息时,精度很重要。但是,基于Web的世界中的一个主要问题是信息的泛滥和多样性。通过网络,我们可能面临比深入研究更多的选择。价值体系本身正在发生变化,而传统上信息具有价值,而现在,购买者的注意力才具有价值。需要新的方法和工具来搜索大量潜在信息。传统的信息检索工具集中于返回尽可能多的相关信息,在此过程中,由于同样会返回许多无关的材料,因此降低了准确性。但是,要使商务电子商务有效,就不能提出过多的不太可能的替代选择(类型2错误)。现在遇到的两种错误类型,误报和误报在重要性上有所不同。在大多数业务情况下,可以接受少量机会错失(第1类错误)。我们将讨论折衷方案,并介绍当前和将来的工具,以提高电子信息收集的准确性。

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