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现代图书情报技术  2013, Vol. Issue (5): 54-58     https://doi.org/10.11925/infotech.1003-3513.2013.05.07
  知识组织与知识管理 本期目录 | 过刊浏览 | 高级检索 |
云模型和多特征的高校读者借阅偏好不确定性图书推荐研究
李克潮, 蓝冬梅, 凌霄娥
广西民族师范学院图书馆 崇左 532200
Research of Books Recommendation of Borrow Preference Uncertainty in University Readers Based on Cloud Model and Multi-feature
Li Kechao, Lan Dongmei, Ling Xiaoe
Library of Guangxi Normal University for Nationalities, Chongzuo 532200, China
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摘要 利用云模型表示自然界中模糊性、随机性等不确定性优势,提出云模型和读者多特征的借阅偏好不确定性。计算读者专业、性别、年级加权相似度,利用逆向云算法计算以云的期望、熵、超熵来表示的读者借还时间间隔偏好,再计算读者基于云的相似度。结合读者多特征相似度、云相似度,向读者推荐存在复本的图书,并通过实验验证算法的有效性。
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关键词 云模型读者多特征借阅偏好不确定性图书推荐    
Abstract:The paper, taking advantages of cloud model in expressing uncertainty of fuzziness and randomness in nature, proposes that there are uncertainties in cloud model and readers’ multi-featured books preference.The paper computes the weighted similarity of readers’ majors, genders and grades,uses the backward cloud algorithm to compute readers’ preference of borrow-return time interval that is expressed in cloud expectation, entropy and hyper entropy,and then computes the readers’ cloud similarity. Combining multi-featured similarity of readers with cloud similarity,the paper finally recommends books to readers with copied ones and proves the validity of the algorithm by experiments.
Key wordsCloud model    Readers multi-feature    Uncertainty of borrow preference    Books recommendation
收稿日期: 2013-02-18      出版日期: 2013-07-03
:  G205.7  
基金资助:本文系广西教育厅科研项目“个性化推荐冷启动及稀疏性关键技术研究”(项目编号:201204LX481)和CALIS广西壮族自治区文献信息服务中心预研项目“云计算环境下高校读者模糊借阅偏好的图书推荐研究”(项目编号:CALISGX201305)的研究成果之一。
引用本文:   
李克潮, 蓝冬梅, 凌霄娥. 云模型和多特征的高校读者借阅偏好不确定性图书推荐研究[J]. 现代图书情报技术, 2013, (5): 54-58.
Li Kechao, Lan Dongmei, Ling Xiaoe. Research of Books Recommendation of Borrow Preference Uncertainty in University Readers Based on Cloud Model and Multi-feature. New Technology of Library and Information Service, 2013, (5): 54-58.
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https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2013.05.07      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2013/V/I5/54
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