Combination Effects of Word-based and Extended Co-citation Search Algorithms

Combination Effects of Word-based and Extended Co-citation Search Algorithms
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DOI:
10.1145/2756406.2756957
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发表时间:
2015-06
期刊:
Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries
影响因子:
--
通讯作者:
Masaki Eto
Masaki Eto
中科院分区:
其他
文献类型:
--
作者:
Masaki Eto

文献摘要

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在学术文献检索领域,引文经常被用来度量文献之间的隐含关系。最近,一些研究试图扩展共引检索。然而,这些研究主要集中在传统的共引检索方法和扩展的共引检索方法的比较上,对基于词的共引检索算法和扩展的共引检索算法的组合效果还没有得到充分的评价。本文使用一个包含约152,000个文档的测试集和一个精度为k的度量标准,对组合搜索的搜索性能进行了实证评估。实验结果表明,组合搜索优于两种基线方法:基于词的搜索和基于词和传统共引搜索算法的组合搜索。
In the field of academic document search, citations are often used for measuring implicit relationships between documents. Recently, some studies have attempted to extend co-citation searching. However, these studies mainly focus on comparisons of traditional co-citation and extended co-citation search methods; combination effects of word-based and extended co-citation search algorithms have not yet been sufficiently evaluated. This paper empirically evaluates the search performance of the combination search by using a test collection comprising about 152,000 documents and a metric 'precision at k.' The experimental results indicate that the combination search outperforms two baseline methods: a word-based search and a combination search of word-based and traditional co-citation search algorithms.