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Order of Magnitude Reductions in the Size of Enterprise Search Result Sets Through the Use of Subject Indexes

机译:通过使用主题索引,企业搜索结果集的大小减少的顺序

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Keyword search has failed to adequately meet the needs of enterprise users. This is largely due to the indeterminate nature of languages. We argue a different approach needs to be taken, and draw on the success of previous library indexing concepts to propose a solution. We test our solution by performing search queries on a large research database. By incorporating readily available subject indexes into the search process, we obtain order of magnitude improvements in the performance of search queries. Our performance measure is the ratio of the number of documents returned without using subject indexes to the number of documents returned when subject indexes are used. We explain why the observed tenfold improvement in search performance on our research database can be expected to occur for searches on a wide variety of enterprise document stores.
机译:关键字搜索未能充分满足企业用户的需求。这主要是由于语言的不确定性。我们认为需要采用不同的方法,并借鉴以前的库索引概念的成功提出解决方案。我们通过在大型研究数据库上执行搜索查询来测试我们的解决方案。通过将随时可用的主题索引合并到搜索过程中,我们在搜索查询的性能方面获得了数量级的提高。我们的性能指标是不使用主题索引返回的文档数与使用主题索引时返回的文档数之比。我们解释了为什么在各种企业文档存储上进行搜索时,可以预期在我们的研究数据库上观察到的搜索性能提高十倍。

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