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On the implementation of some models of document retrieval

机译:关于某些文件检索模型的实现

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摘要

Recently several models of the search process in a document retrieval system have been proposed and retrieval experiments have shown that they will improve system performance. These include models which use relevance judgements to rank documents in order of probability of relevance and models of retrieval from clusters of documents. In this paper various models are compared in terms of the ease with which they could be implemented. An important consideration is how this implementation would be affected by the introduction of new hardware such as content-addressable memories. The main conclusion is that models which concentrate on improving the effectiveness of the search process are not rendered redundant by the availability of new hardware. However, the efficiency of their implementation would be improved.
机译:最近,已经提出了文件检索系统中搜索过程的几种模型,并且检索实验表明它们将提高系统性能。这些模型包括使用相关性判断对相关性概率进行排序的模型,以及从文档簇中检索的模型。在本文中,比较了各种模型的易于实现性。一个重要的考虑因素是引入诸如内容可寻址存储器之类的新硬件将如何影响这种实现。主要结论是,专注于提高搜索过程有效性的模型不会因新硬件的可用性而变得多余。但是,它们的实施效率将得到提高。

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