On relevance distributions

On relevance distributions
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关于相关性分布

DOI:
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发表时间:
2006
期刊:
J. Assoc. Inf. Sci. Technol.
影响因子:
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通讯作者:
Wolfgang G. Stock
Wolfgang G. Stock
中科院分区:
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文献类型:
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作者:
Wolfgang G. Stock

文献摘要

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至少有三种可能的方式,文档分布的相关性:信息(幂律),逆逻辑,和二分法。的分布类型的性质有影响的搜索引擎的相关性排名算法的建设,自动(盲)的相关性反馈,用户使用Web搜索引擎时的行为,结合搜索引擎的元搜索的输出,主题检测和跟踪,以及信息检索系统的评估方法。
There are at least three possible ways that documents are distributed by relevance: informetric (power law), inverse logistic, and dichotomous. The nature of the type of distribution has implications for the construction of relevance ranking algorithms for search engines, for automated (blind) relevance feedback, for user behavior when using Web search engines, for combining of outputs of search engines for metasearch, for topic detection and tracking, and for the methodology of evaluation of information retrieval systems.