基于模糊聚类的数字图书馆文献资源智能检索方法研究

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中图分类号：TP391 文献标志码：A 文章编码：1672-7274（2025）08-0037-03

Research on Intelligent Retrieval Method of Digital Library Literature Resources Based on Fuzzy Clustering

GUO Xiuyun （Yangquan Vocational and Technical College，Yangquan O45ooo， China）

Abstract： The current digital library literature resource retrieval methods have problems such as low gain and poor retrieval ranking performance. Therefore，this article conducts research on the intelligent retrieval method ofdigitallibrary literatureresourcesbasedon fuzzy clustering.Firstly，thetwin neural network is usedto extract literature features，and these features are input into the fuzzy clustering algorithm.Then，taking the sample as the initial center，calculate the convergence threshold and optimize the clustering results by comparing and merging theclusteringcenters.Finall，basedonteclusteringresults，tesimilaritybetween theliterature iscalculatedforsortingand screening.Theexperimentalresultsshowed thatthe averagecumulativegainofthe experimental group was within therangeof 1.7 to 1.9.This proves that the proposed method exhibits outstandingadvantages inresourceretrieval，notonlysignificantly improving the quality of search ranking，but also achieving fast and inteligent literature retrieval functions.

Keywords： fuzzyclustering;digital library;search;intelligencemethod

智能检索方法借助自然语言处理等先进技术，实现了对文献资源进行深度理解和挖掘，对文献内容的精准匹配和智能推荐。（剩余3994字）