A Dual Hashtables Algorithm for Durable Top-k Search

Hua Ming, Yong Zhang, Chunxiao Xing, Haiyan Yin, Minglei Wang
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Abstract

We propose a dual hash tables algorithm which can realize the durable top-k search. Two hash tables are constructed to keep the core information, such as score and time in the inverted lists. We use the key-value relationships between the two hash tables to calculate the scores which measure the correlations between a keyword and documents, and search the versioned objects that are consistent in the top-k results throughout a given query interval. Finally, we use data from Wikipedia to demonstrate the efficiency and performance of our algorithm.
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持久Top-k搜索的双哈希表算法
提出了一种可实现持久top-k搜索的对偶哈希表算法。构造了两个散列表来保存核心信息,例如倒排列表中的分数和时间。我们使用两个散列表之间的键值关系来计算衡量关键字和文档之间相关性的分数,并在给定的查询间隔内搜索top-k结果中一致的版本对象。最后,我们使用维基百科的数据来演示我们算法的效率和性能。
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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