Yves Petinot, Pradeep B. Teregowda, Hui Han, C. Lee Giles, S. Lawrence, A. Rangaswamy, Nirmal Pal
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引用次数: 17
Abstract
Niche search engines offer an efficient alternative to traditional search engines when the results returned by general-purpose search engines do not provide a sufficient degree of relevance and when nontraditional search features are required. Niche search engines can take advantage of their domain of concentration to achieve higher relevance and offer enhanced features. We discuss a new digital library niche search engine, eBizSearch, dedicated to e-business and e-business documents. The ground technology for eBizSearch is CiteSeer, a special-purpose automatic indexing document digital library and search engine developed at NEC Research Institute. We present the integration of CiteSeer in the framework of eBizSearch and the process necessary to tune the whole system towards the specific area of e-business. We show how using machine learning algorithms we generate metadata to make eBizSearch Open Archives compliant.
当通用搜索引擎返回的结果不能提供足够的相关性以及需要非传统搜索特性时,利基搜索引擎提供了传统搜索引擎的有效替代方案。小众搜索引擎可以利用其集中的领域来实现更高的相关性,并提供增强的功能。我们讨论了一个新的数字图书馆搜索引擎,eBizSearch,致力于电子商务和电子商务文档。eBizSearch的基础技术是CiteSeer,一个由NEC研究所开发的专用自动索引文档数字图书馆和搜索引擎。我们介绍了CiteSeer在eBizSearch框架中的集成,以及将整个系统调整到电子商务特定领域所必需的过程。我们将展示如何使用机器学习算法生成元数据,使eBizSearch Open Archives兼容。