Capturing customer context from social media: mapping social media API and CRM profile data

Matthias Wittwer, Olaf Reinhold, R. Alt
{"title":"Capturing customer context from social media: mapping social media API and CRM profile data","authors":"Matthias Wittwer, Olaf Reinhold, R. Alt","doi":"10.1145/3106426.3117762","DOIUrl":null,"url":null,"abstract":"The evolution of the social web opens a new channel that allows bidirectional electronic interactions directly with customers in real-time. By accessing social media content via application programming interfaces (API), businesses may enrich their information on customers, which are usually represented in customer profiles. However, these profiles are often incomplete since additional meaningful data on the customer's context are missing. Based on this idea, this research in progress paper describes first ideas on how data from social media, which are available through API, may be matched with customer profiles via a customer context model.","PeriodicalId":20685,"journal":{"name":"Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics","volume":"89 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3106426.3117762","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The evolution of the social web opens a new channel that allows bidirectional electronic interactions directly with customers in real-time. By accessing social media content via application programming interfaces (API), businesses may enrich their information on customers, which are usually represented in customer profiles. However, these profiles are often incomplete since additional meaningful data on the customer's context are missing. Based on this idea, this research in progress paper describes first ideas on how data from social media, which are available through API, may be matched with customer profiles via a customer context model.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
从社交媒体获取客户上下文:映射社交媒体API和CRM配置文件数据
社交网络的发展开辟了一个新的渠道,允许与客户直接进行实时的双向电子互动。通过应用程序编程接口(API)访问社交媒体内容,企业可以丰富客户信息,这些信息通常在客户配置文件中表示。然而,这些概要文件通常是不完整的,因为缺少关于客户上下文的其他有意义的数据。基于这一想法,这篇正在进行中的研究论文描述了关于如何通过API获取社交媒体数据,并通过客户上下文模型将其与客户档案相匹配的第一个想法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
WIMS 2020: The 10th International Conference on Web Intelligence, Mining and Semantics, Biarritz, France, June 30 - July 3, 2020 A deep learning approach for web service interactions Partial sums-based P-Rank computation in information networks Mining ordinal data under human response uncertainty Haste makes waste: a case to favour voting bots
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1