大规模个人说服的框架

DUBMOD '14 Pub Date : 2014-11-03 DOI:10.1145/2665994.2665999
Shimei Pan, Michelle X. Zhou
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引用次数: 8

摘要

个性化在说服中起着重要的作用。在本文中,我们提出了一个名为PPLUM的框架,它将基于社交媒体的大规模用户建模与自动个人说服生成相结合。这项工作有许多应用,如广告消费品,促进政治候选人,或鼓励良好的健康和投资行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PPLUM: A Framework for Large-Scale Personal Persuasion
Personalization plays a significant role in persuasion. In this paper, we present a framework called PPLUM which combines social media-based large-scale user modeling with automated personal persuasion generation. This work has many applications such as advertising consumer products, promoting political candidates, or encouraging good health and investment behaviors.
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