图书馆读者需求与服务匹配模型研究

Abstract

Abstract:

In order to improve the accuracy and applicability of library services, and to solve the problems of low coverage and poor precision in related applications, this paper proposes a new library reader demand and service matching model, details the composition, data processing flow and key algorithms of the model. The model collects information from both readers and services, and recommends personalized services to readers through fusion matching algorithm. The experiment proves that the algorithm has good reader coverage, demand matching accuracy and cost performance.

Key words: library service, match, reader, big data, information fusion

CLC Number:

G250

LIN Shu-zhen. Research on Library Reader and Service matching Model[J].Library Research, 2018, 48(6): 106-111.

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References 8

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评价项目	LRSM模型得分	RSSM模型得分
总体满意度	81.03	53.28
推荐服务适用度	84.77	49.59
需求满足度	78.69	54.74
推荐便捷性	80.57	72.46
推荐服务全面性	83.14	59.45

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Research on Library Reader and Service matching Model

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