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A Study on Pseudo Labeled Document Constructed for Document Re-ranking

机译:用于伪文档重排的伪标签文档研究

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Document re-ranking is a middle module in information retrieval system. Itȁ9;s expected that more relevant documents with query appear in higher rankings, from which automatic query expansion can benefit, and it aims at improving the performance of the entire information retrieval. In this paper, we construct a pseudo labeled document based on pseudo-relevance feedback principle, and discuss about the relationship between performance of document re-ranking and the number of top documents in initial retrieval, the number of key terms from the top documents when constructing a pseudo labeled document. Experiment shows our approach of a pseudo labeled document constructed is greatly helpful to document re-ranking. It is the main contribution in the paper. Moreover, experiment shows the performance of document re-ranking is decreasing as the number of top documents increases; and increasing as the number of key terms from these documents increases.
机译:文档重新排序是信息检索系统中的中间模块。 9期望与查询相关的文档出现在更高的排名中,自动查询扩展可以从中受益,其目的是提高整个信息检索的性能。在本文中,我们基于伪相关反馈原理构造了一个伪标记文档,并讨论了文档重新排序的性能与初始检索中的顶级文档数量,何时出现的顶级文档中的关键词数量之间的关系。构造一个带有伪标签的文档。实验表明,我们构建伪标签文档的方法对文档重新排名很有帮助。这是本文的主要贡献。此外,实验表明,随着排名靠前的文档数量的增加,文档重新排名的性能下降;并且随着这些文档中关键术语数量的增加而增加。

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