[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.
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
.
DOI: 10.13266/j.issn.0252-3116.2019.10.014
[1] 郑志来.共享经济的成因、内涵与商业模式研究[J].现代经济探讨,2016,411(3):32-36.
[2] ZEKANOVIC'-KORONA L, GRZUNOV J. Evaluation of shared digital economy adoption:case of Airbnb[C]//IEEE, 2014:1574-1579.
[3] RICHTER C, KRAUS S, BREM A, et al. Digital entrepreneurship:innovative business models for the sharing economy[J]. Creativity and innovation management, 2017, 26(3):300-310.
[4] 贺明华,梁晓蓓.共享经济模式下平台及服务提供方的声誉对消费者持续使用意愿的影响——基于滴滴出行平台的实证研究[J].经济体制改革,2018,(2):85-92.
[5] 相博,陈可可,田龙伟.共享经济视角下新型绿色交通的个体需求影响因素分析——以共享单车为例[J].大连理工大学学报(社会科学版),2018,39(2):80-88.
[6] ERT E, FLEISCHER A, MAGEN N. Trust and reputation in the sharing economy:the role of personal photos in Airbnb[J]. Tourism management, 2016, 55:62-73.
[7] 聂帅钧.共享电单车的政府监管研究[J].重庆大学学报(社会科学版),2019(1):162-177.
[8] 郝雅立,温志强.共建共治共享:大数据支持下共享单车智能化治理路径[J].管理评论,2019,31(1):249-254.
[9] 张克永,李贺.健康微信公众平台信息质量评价指标体系研究[J].情报科学,2017,35(11):143-155.
[10] TAO D, LEROUGE C, SMITH K J, et al. Defining information quality into health websites:a conceptual framework of health website information quality for educated young adults[J]. Jmir hum factors, 2017, 4(4):e25.
[11] 胡媛,韦肖莹,王灿.微博信息质量评价指标体系构建研究[J].情报科学,2017,35(6):44-50.
[12] FU H, OH S. Quality assessment of answers with user-identified criteria and data-driven features in social Q&A[J]. Information processing & management, 2019, 56(1):14-28.
[13] 张婉.问答社区信息质量评价指标体系构建研究[D].合肥:安徽大学,2015.
[14] 刘冰,卢爽.基于用户体验的信息质量综合评价体系研究[J].图书情报工作,2011,55(22):56-59.
[15] 曹瑞昌,吴建明.信息质量及其评价指标体系[J].情报探索,2002(4):6-9.
[16] 高智勇,高建民,陈富民.数字化制造中的信息质量问题研究[J].计算机集成制造系统,2005,11(7):981-985.
[17] RUMELHART D E, HINTON G E, WILLIAMS R J. Learning internal representations by error propagation[EB/OL].[2019-01-20].https://www.sciencedirect.com/science/article/pii/B9781483214467500352.
[18] 相甍甍,郭顺利,张向先.面向用户信息需求的移动商务在线评论效用评价研究[J].情报科学,2018,36(2):132-138.
[19] 郭宇,王晰巍,杨梦晴.网络社群知识消费用户体验评价研究——基于扎根理论和BP神经网络的分析[J].情报理论与实践,2018,41(3):117-122.
[20] 张莉曼,张向先,李中梅,等.基于BP神经网络的智库微信公众平台信息传播力评价研究[J].情报理论与实践,2018,41(10):93-99.
[21] 闫奕文,张海涛,孙思阳,等.基于BP神经网络的政务微信公众号信息传播效果评价研究[J].图书情报工作,2017,61(20):53-62.
