使用递归伪相关反馈策略改进类似文档检索

2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL) Pub Date : 2016-06-19 DOI:10.1145/2910896.2925468

Kyle Williams, C. Lee Giles

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引用次数: 2

摘要

为了提高相似度搜索的检索性能，提出了一种递归伪相关反馈策略。该策略对给定查询返回的搜索结果进行递归搜索，并生成用于排序的树。在Reuters 21578和WebKB数据集上的实验表明，该策略显著提高了相似度搜索的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Improving similar document retrieval using a recursive pseudo relevance feedback strategy

We present a recursive pseudo relevance feedback strategy for improving retrieval performance in similarity search. The strategy recursively searches on search results returned for a given query and produces a tree that is used for ranking. Experiments on the Reuters 21578 and WebKB datasets show how the strategy leads to a significant improvement in similarity search performance.

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2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)

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