Accurate Context-Aware Search for Managed Document Collections

搜索是众多计算应用程序的关键组成部分。然而，虽然对大型通用文本集合的搜索是众所周知的，最好的系统也是非常有效的，但对较小或特殊用途的集合的搜索的可靠性要低得多，吸引的研究相对较少。通过识别使用上下文的一般方法，例如用户历史或先前页面的有用性，可以极大地提高此类情况下的搜索质量。利用这些原则的产品将提供更高的工作场所效率，并能够定位其他搜索工具无法识别的信息。

Search is a key component of a vast range of computing applications. However, while search on large collections of general-purpose text is well-understood, and the best systems are highly effective, search on smaller or special-purpose collections is much less reliable and has attracted relatively little research. By identifying general ways of using context such as user history or prior page usefulness, the quality of search in such cases can be greatly improved. Products that make use of these principles will provide greater workplace efficiency and be able to locate information that other search tools cannot identify.