SoMin.ai: Social Multimedia Influencer Discovery Marketplace

Aleksandr Farseev, Kirill Lepikhin, H. Schwartz, Eu Khoon Ang, K. Powar
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引用次数: 18

Abstract

In this technical demonstration, we showcase the first ai-driven social multimedia influencer discovery marketplace, called SoMin. The platform combines advanced data analytics and behavioral science to help marketers find, understand their audience and engage the most relevant social media micro-influencers at a large scale. SoMin harvests brand-specific life social multimedia streams in a specified market domain, followed by rich analytics and semantic-based influencer search. The Individual User Profiling models extrapolate the key personal characteristics of the brand audience, while the influencer retrieval engine reveals the semantically-matching social media influencers to the platform users. The influencers are matched in terms of both their-posted content and social media audiences, while the evaluation results demonstrate an excellent performance of the proposed recommender framework. By leveraging influencers at a large scale, marketers will be able to execute more effective marketing campaigns of higher trust and at a lower cost.
SoMin。ai:社交多媒体影响者发现市场
在这个技术演示中,我们展示了第一个人工智能驱动的社交多媒体影响者发现市场,称为SoMin。该平台结合了先进的数据分析和行为科学,帮助营销人员找到、了解他们的受众,并大规模地吸引最相关的社交媒体微影响者。SoMin在特定的市场领域收集品牌特定的生活社交多媒体流,然后进行丰富的分析和基于语义的影响者搜索。个人用户分析模型推断品牌受众的关键个人特征,而网红检索引擎则向平台用户揭示语义匹配的社交媒体网红。影响者在其发布的内容和社交媒体受众方面都是匹配的,而评估结果表明所提议的推荐框架具有出色的性能。通过大规模地利用有影响力的人,营销人员将能够以更低的成本执行更高信任的更有效的营销活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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