BM25- ah:针对特定领域搜索引擎的增强BM25算法

Kirk Kalian, Charles Remig, Youna Jung
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引用次数: 2

摘要

美国弗吉尼亚军事学院(VMI)使用Google搜索在VMI网站上提供网页搜索服务。由于Google搜索是一种通用服务,它不考虑特定于vmi的信息,因此经常无法检索相关信息。为了解决这一限制,在本文中,我们提出了BM25- ah算法,这是BM25排名算法的扩展,它通过在现有的BM25算法中添加四个新特征来利用领域特定知识。实现结果表明了该算法和新的VMI搜索引擎的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BM25-AH: Enhanced BM25 Algorithm for Domain-Specific Search Engine
The Virginia Military Institute (VMI) uses Google search to provide webpage search service in the VMI website. As Google search is a general-purpose service, it does not consider VMI-specific information and in turn, often fails to retrieve relevant information. To address the limitation, in this paper, we propose the BM25-AH algorithm, an extension of the BM25 ranking algorithm that utilizes domain-specific knowledge by adding four new features to the existing BM25 algorithm. The implementation results show us the potential of the proposed algorithm and the new VMI search engine.
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