基于Top-k查询算法的图书自整合信息快速检索方法

Fast Retrieval Method for Self-integrated Information of Books Based on Top-k Query Algorithm

针对传统自整合信息检索方法在对图书自整合信息进行检索时,存在检索结果不准确和效率低的问题,提出一种基于Top-k查询算法的图书自整合信息快速检索方法.首先利用Top-k查询算法对去噪后的自整合信息进行匹配,然后建立自整合信息快速检索模型,根据词意的重要性对图书自整合信息进行快速检索.仿真实验结果表明,该方法检索性能较好,缩短了整体运行所需时间,提升了检索效率,且检索结果更准确.

Aiming at the problems of inaccurate retrieval results and low efficiency of the traditional self-integrated information retrieval method in the retrieval of the self-integrated information of books, we proposed a fast retrieval method for self-integrated information of books based on Top-k query algorithm. Firstly, the Top-k query algorithm was used to match the de-noising self-integrated information. Secondly, a fast retrieval model of self-integrated information was established to quickly retrieve the self-integrated information of books according to the importance of word meaning. The simulation results show that the proposed method has good retrieval performance, the overall operation time is shortened, the retrieval efficiency is improved, and the retrieval results are more accurate.