| 面向用户信息需求的移动O2O在线评论有用性排序模型研究——以美团为例 |
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| 引用本文： | 郭顺利,张向先,李中梅.面向用户信息需求的移动O2O在线评论有用性排序模型研究——以美团为例[J].图书情报工作,2015,59(23):85-93. |
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| 作者姓名： | 郭顺利 张向先 李中梅 |
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| 作者单位： | 吉林大学管理学院 长春 130022 |
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| 摘 要： | 目的/意义] 为了能够准确发现满足用户信息需求的有用在线评论,对在线评论按照有用性进行排序,帮助用户进行消费决策。方法/过程] 首先通过文献调研和专家咨询,结合移动O2O用户在线评论的特点,选取影响移动O2O在线评论有用性的8项指标,采用模糊层次分析法进行指标赋权,然后利用定量方法进行指标量化,使用加权灰色关联分析方法进行有用性计算和排序,构建有用性排序模型。最后获取美团商品的在线评论数据进行应用研究,采用与美团原始评论排序结果对比分析的方法,检验方法的可行性和科学性。结果/结论] 实验结果表明,采用移动O2O在线评论有用性排序模型进行排序,排名靠前的在线评论信息量大,包含产品或服务的维度较多,能够较好地满足用户的个性化信息需求,为用户消费决策提供更大的参考价值。
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| 关 键 词： | 用户信息需求 移动O2O 在线评论 有用性 模糊-层次分析法 灰色关联分析方法 |
| 收稿时间： | 2015-10-25 |
Study on the Usefulness Ranking Model of Mobile O2O Online Reviews from the Perspective of User's Information Demand:Taking an Example of Meituan |
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| Guo Shunli,Zhang Xiangxian,Li Zhongmei.Study on the Usefulness Ranking Model of Mobile O2O Online Reviews from the Perspective of User's Information Demand:Taking an Example of Meituan[J].Library and Information Service,2015,59(23):85-93. |
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| Authors: | Guo Shunli Zhang Xiangxian Li Zhongmei |
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| Institution: | Management School, Jilin University, Changchun 130022 |
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| Abstract: | Purpose/significance] In order to accurately find out the useful online comments to meet users' information needs, this paper ranks the users' online reviews in accordance with the usefulness and helps users make consumption decisions. Method/process] Firstly, through the literature research and expert consultation, combined with the characteristics of mobile O2O users online reviews, this paper selects 8 indicators which affect the usefulness of mobile O2O online reviews, and weights them with the fuzzy AHP method. Then it quantifies them with the quantitative method, calculates and sorts them through the weighted gray correlation analysis method, and builds a usefulness ranking model. Finally, the online reviews data of Meituan products are collected and compared with the ranking results of Meituan original reviews, to verify the feasibility and the scientific nature of the method.Result/conclusion] The experimental results show that the top online reiews ranked with the usefulness ranking model of mobile O2O online reviews, contain large amount of information and refer to multiple dimensions of products or services, which can better meet the users' personalized information needs and provide with greater reference value for consumer decisions. |
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| Keywords: | users' information demand mobile O2O online comment usefulness FAHP grey relational analysis method |
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