| 基于粉丝偏好挖掘提升气象微博平台运维能力 |
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| 引用本文： | 陈晓宇,高亭亭,刘冠东.基于粉丝偏好挖掘提升气象微博平台运维能力[J].热带气象学报,2020,36(5):713-720. |
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| 作者姓名： | 陈晓宇 高亭亭 刘冠东 |
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| 作者单位： | 1.广州市突发事件预警信息发布中心, 广东 广州 511430 |
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| 摘 要： | 公众气象服务是政府公共服务的重要组成部分，而微博作为新时代下的新媒体服务，在广州市气象局的日常气象信息服务中发挥了重要作用。通过对微博渠道积累的数据及用户需求进行文本数据分析挖掘，发现许多影响微博受欢迎程度的用户偏好特征，运用联合分析得到各个特征的重要性排序，并以此提出新媒体运维指引以及提升公共气象服务的合理建议，从而在扩大微博影响力的同时增强广州市气象局公共气象服务的品牌影响力。
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| 关 键 词： | 气象服务 微博 联合分析 粉丝偏好 |
| 收稿时间： | 2018-12-13 |
IMPROVING WEATHER SERVICE WEIBO ACCOUNT MANAGEMENT
BASED ON FAN PREFERENCE MINING |
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| CHEN Xiao-yu,GAO Ting-ting,LIU Guan-dong.IMPROVING WEATHER SERVICE WEIBO ACCOUNT MANAGEMENT
BASED ON FAN PREFERENCE MINING[J].Journal of Tropical Meteorology,2020,36(5):713-720. |
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| Authors: | CHEN Xiao-yu GAO Ting-ting LIU Guan-dong |
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| Institution: | 1.Guangzhou Emergency Early Warning Release Center, Guangzhou 510080, China2.School of Mathematics, South China University of Technology, Guangzhou 510640, China |
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| Abstract: | Weather service is an important part of government public services. Sina Weibo, as a new media service in the new era, plays an important role in the daily weather information service of the Guangzhou Meteorological Bureau. Through text data analysis and mining of the Sina Weibo data and user demands, this paper finds many user preference characteristics that affect the popularity of Weibo accounts. Based on conjoint analysis, the importance of each characteristic is ranked, and new media management guidelines and suggestions for improving public meteorological service are put forward in order to expand the influence of weather service Weibo accounts and enhance the brand influence of Guangzhou Meteorological Bureau in public weather service. |
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| Keywords: | public weather service Weibo conjoint analysis fan preference |
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