Launching a User-Generated Content Campaign to Promote PUMA's Social Contributions

被引:0
|
作者
Xiang, Lili [1 ]
Mello, Alice [2 ]
Ackerman, Ryan [3 ]
机构
[1] Northeastern Univ, Coll Profess Studies, Boston, MA 02115 USA
[2] Northeastern Univ, Coll Profess Studies, Analyt & Enterp Intelligence, Boston, MA 02115 USA
[3] PUMA, Business Intelligence, Westford, MA USA
来源
2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2019年
关键词
UGC; social media; clustering; recommendation; marketing promotion; social contribution; MEDIA;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This user-generated content (UGC) campaign is based on a capstone project whose purpose is to predict ideal locations for opening PUMA new stores using three years daily nationally online transactions data. This marketing promotion aims to increase PUMA's public awareness and reinforce its level of corporate social responsibility in the new store locations. The campaign will take charitable activities into account and share them through stories on social media (Facehook and Instagram).
引用
收藏
页码:6251 / 6253
页数:3
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