标题:User and Content Recommendation at Twitter
演讲人: Guang Xiang Beijing, i.e. 数问
时间: 2016-06-24 15:00-2016-06-24 17:00
地点:FIT 1-312

内容:

As the leading social media in the world, Twitter has 325M monthly active users and handles 500M new tweets every day as of 2016. In this talk, Dr.Guang Xiang, the founder & CEO of an early-stage machine learning startup in Beijing, i.e. 数问, will speak about the architecture and algorithmic details of Twitter's online & offline user recommendation system and real-time content recommendation system. Dr.Xiang will also share some fun and challenging experiences in the most popular social media company.



人物介绍:

向光 北京数问科技有限公司CEO
美国Carnegie Mellon University计算机博士。前Twitter Recommendation Group数据科学家 & 软件工程师。作为核心成员,设计并实现了基于地理位置、基于图等算法的在线、离线用户推荐系统,从0到1设计并实现了Twitter首个端到端的实时内容推荐系统。