| 基于BP神经网络的共享服务平台资源信息质量评价研究——以短租类共享服务平台为例 |
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| 引用本文： | 李全喜,徐嘉徽,魏骏巍,张健.基于BP神经网络的共享服务平台资源信息质量评价研究——以短租类共享服务平台为例[J].图书情报工作,2019,63(10):125-133. |
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| 作者姓名： | 李全喜 徐嘉徽 魏骏巍 张健 |
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| 作者单位： | 1. 吉林大学管理学院 长春 130022;
2. 重庆文理学院经济管理学院 重庆 402160 |
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| 摘 要： | 目的/意义] 以短租类共享服务平台为例，构建共享服务平台资源信息质量评价指标体系，帮助此类平台企业高效地识别出存在信息质量问题的资源，提高平台整体的信息质量水平。方法/过程] 首先基于信息传播学相关理论，对共享服务平台信息传播过程进行总结。然后根据共享服务平台信息传播的参与主体和访谈原始资料分析，构建共享服务平台资源信息质量评价指标体系，分为信源质量、信息内容质量和信息效用质量三个维度。最后提出基于BP神经网络的信息质量评价方法，并使用Matlab2018a软件对采集的100组样本数据进行训练和仿真验证。结果/结论] 提出共享服务平台资源信息质量评价指标体系，并以短租类共享服务平台为例运用BP神经网络进行验证，实验证明该评价指标体系具有一定的可行性和实用性。
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| 关 键 词： | 共享服务平台 信息质量 评价研究 BP神经网络 |
| 收稿时间： | 2019-02-21 |
| 修稿时间： | 2019-03-04 |
Resource Information Quality Evaluation of Shared Service Platform Based on BP Neural Network: Taking Short-term Rental Shared Service Platform as an Example |
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| Li Quanxi,Xu Jiahui,Wei Junwei,Zhang Jian.Resource Information Quality Evaluation of Shared Service Platform Based on BP Neural Network: Taking Short-term Rental Shared Service Platform as an Example[J].Library and Information Service,2019,63(10):125-133. |
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| Authors: | Li Quanxi Xu Jiahui Wei Junwei Zhang Jian |
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| Institution: | 1. Management of School, Jilin University, Changchun 130022;
2. School of Economics and Management, Chongqing University of Arts and Sciences, Chongqing 402160 |
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| Abstract: | Purpose/significance] This paper takes the short-term rental shared service platform as an example, and constructs an evaluation index system for the resource information quality of the shared service platform, so as to help platform enterprises effectively identify the resources with information quality problems and improve the information quality.Method/process] Firstly, using the theory of information dissemination, the paper analyzed the process of information dissemination of the shared service platform. Then, according to the participants, information quality evaluation of the shared service platform, evaluation index system was established from three dimensions, including source quality, content quality and utility. Finally, the information quality evaluation method based on BP neural network was proposed, and 100 sets of collected sample data was used for training and simulation verification by Matlab 2018a software.Result/conclusion] The evaluation index system for the resource information quality of shared service platform is proposed and validated by BP neural network. Taking the short-term rental platform as an example, the final results prove that the evalution index system has certain feasibility and practicability. |
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| Keywords: | shared services platform information quality evaluation research BP neural network |
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