| 基于特征项的文献共现网络在学术信息检索中的应用 |
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| 引用本文： | 丁洁,王曰芬.基于特征项的文献共现网络在学术信息检索中的应用[J].图书情报工作,2014,58(15):135-141. |
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| 作者姓名： | 丁洁 王曰芬 |
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| 作者单位： | 南京理工大学经济管理学院 |
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| 基金项目： | 本文系国家自然科学基金资助项目“新研究领域科学文献传播网络成长及对传播效果影响研究”（项目编号：71373124）研究成果之一。 |
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| 摘 要： | 在综合国内学术信息检索服务的现状和现有理论方法研究的基础上，以检索词推荐为研究对象，构建基于文献特征项共现网络的学术信息检索词推荐模型。模型包括基础文献存储模块、文献特征项抽取模块、文献特征项共现网络预处理模块、基于特征项的文献检索模块及检索词服务前端5个部分。利用实验验证基于特征项的共现网络用于检索词推荐的可行性，结果表明推荐模型结果与各检索项的检索词更具有相关性，推荐质量较好。
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| 关 键 词： | 检索词推荐 推荐模型 共现分析 学术信息检索 科技文献 |
| 收稿时间： | 2014-05-19 |
Technologies and Applications of Literature Co-occurrence Network Based on Characteristic Terms in Academic Information Retrieval |
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| Ding Jie,Wang Yuefen.Technologies and Applications of Literature Co-occurrence Network Based on Characteristic Terms in Academic Information Retrieval[J].Library and Information Service,2014,58(15):135-141. |
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| Authors: | Ding Jie Wang Yuefen |
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| Institution: | School of Economics and Management, Nanjing University of Science & Technology, Nanjing 210094 |
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| Abstract: | After analyzing the present situation of the domestic academic information retrieval services and research status at home and abroad, a digital academic information query suggestion recommendation model based on co-occurrence analysis was developed, which includes the basic literatures storage module, the literatures feature item extraction module, the literatures feature co-occurrence network preprocessing module, the literature search module based on feature item and the front-end of search term services. An experiment was done to verify the model. The research showed that the academic information query suggestion recommendation model based on co-occurrence analysis of literature characteristic terms achieved better recommendation quality. |
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| Keywords: | query suggestion recommendation model co-occurrence analysis academic information retrieval scientific literature |
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