机器学习技术用于Instagram社交网络上的品牌影响者匹配
Machine Learning Techniques for Brand-Influencer Matchmaking on the Instagram Social Network
摘要：
社交媒体革命改变了品牌与消费者互动的方式。越来越多的公司不再把广告预算花在州际广告牌上，而是选择与所谓的互联网“影响者”合作--这些人因其发布的高质量内容而在在线平台上获得了忠实的追随者。不幸的是，对于小品牌来说，找到合适的影响者并不总是那么容易：与他们的企业形象保持一致，并且还没有流行到负担不起的程度。在本文中，我们试图开发一个品牌影响者匹配系统，利用现代机器学习技术的力量和灵活性。其结果是一种算法，可以根据他们发布的内容的相似性来预测最富有成效的品牌-影响者合作关系。
英文摘要：
The social media revolution has changed the way that brands interact with consumers. Instead of spending their advertising budget on interstate billboards, more and more companies are choosing to partner with so-called Internet "influencers" --- individuals who have gained a loyal following on online platforms for the high quality of the content they post. Unfortunately, it's not always easy for small brands to find the right influencer: someone who aligns with their corporate image and has not yet grown in popularity to the point of unaffordability. In this paper we sought to develop a system for brand-influencer matchmaking, harnessing the power and flexibility of modern machine learning techniques. The result is an algorithm that can predict the most fruitful brand-influencer partnerships based on the similarity of the content they post.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
