基于知識圖譜和讀者特征的圖書館智能檢索與推送研究

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分類號 G250.76  DOI10.16810/j.cnki.1672-514X.2025.06.008

Research on Library Intelligent Retrieval and Push Based on Knowledge Graph and Reader Characteristics

Liu Piaopiao， Chen Chen

AbstractTraditionalibraryretrievalsystemsoftenrelyonkeywordmatching，struggling tocaptureusers’deep-seatedneds， resulting inloweficiencyandpooruserexperience.Thisstudyanalyzesuserscenariorequirements inlibraryretrevalservices， designs theoverallframeworkandcoremodules，and integrates multi-dimensionalreadercharacteristics withknowledgegraph technology.Bycombining usersearch intent withtheknowledge graph，thesystemunderstandsand identifiesuserintentionsto deliverpersonalizedrecommendations.Theproposedmethodaccuratelyparsesretrievalintentions，achieves intellgentresource filtering and dynamicrecommendations，demonstratingsuperiorperformanceinresource discovery，result presentation，and user-centricrecommendationscomparedtotraditional services.Experimentalresultsshowsignficantimprovements inrecall rate，responsespeed，andusersatisfaction，providinganeectiveapproach for transforming libraryknowledgesrices.

KeywordsKnowledge graph.Readercharacteristics.Intelligentretrieval. Recommendersystems.Natural languageprocesing.

0 引言

隨著互聯(lián)網技術的飛速發(fā)展和數(shù)字資源的日益豐富，圖書館不僅需要存儲海量的信息資源，更需要提供一種高效、精準的方式來幫助讀者從中篩選出有價值的信息。（剩余9622字）