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深度学习及其对图书情报学的启示
引用本文:刘忠宝,赵文娟,贾君枝.深度学习及其对图书情报学的启示[J].情报工程,2017,3(4):062-070.
作者姓名:刘忠宝  赵文娟  贾君枝
作者单位:中北大学 软件学院,山西大学商务学院 信息学院,山西大学 经济与管理学院
基金项目:山西自然科学基金(201601D011042), 中国科学技术信息研究所情报工程实验室开放基金(ISTIC-IEL201501)
摘    要:深度学习是一种新颖的机器学习方法,它已经在图像识别、语音识别、信息检索等诸多领域广泛应用并取得了巨大成功。然而,笔者参阅了近年来国内主流的情报学文献,并未发现有关深度学习的研究成果。因此,本文旨在图书情报领域引入深度学习技术,重点探讨深度学习的基本理论、应用、下一步研究重点以及对情报学的启示等问题,以期为解决图书情报学研究面临的诸多问题提供重要参考。

关 键 词:深度学习,大数据,特征提取,启示

Deep Learning and its Inspiration for Library and Information Science
Authors:LIU ZhongBao  ZHAO WenJuan and JIA JunZhi
Institution:School of Software, North University of China,School of Information, Business College of Shanxi University and School of Economics and Management, Shanxi University
Abstract:Deep Learning is a new machine learning method, and it has been widely used in image recognition, speech recognition, information retrieval and other related areas. The authors of this study have referred to the recent papers of information science in China, while we have not found any research achievements related to Deep Learning. Therefore, the main purpose of this paper is to introduce the Deep Learning technology to library and information science, and we focused on the basic theory, application, the next step of research and the enlightenment of information science in order to provide an important reference in solving the problems during the research of library and information science.
Keywords:Deep Learning  big data  feature extraction  inspiration
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