Globo.com is Grupo Globo’s Internet company and has some of the largest portals in Brazil (G1, GE, GShow and Videos). Thousands of massive video content is produced daily on a wide range of subjects. At Globo.com video recommendation systems have increasingly gained a key role in the personalization and contextualized distribution of multimedia content across digital on-demand video streaming platforms such as Globoplay. One of the natural challenges that comes with the large amount of videos produced daily is the creation of metadata for these content in order to enrich the recommendation algorithms in a scalable way. We will talk about how automatic metadata extraction through computer vision and NLP techniques has been explored to support the creation of algorithms for video content-based recommendation.
Short Bio
Felipe is a Researcher and Machine Learning Specialist at Globo.com. He is also a PhD Student at Pontifical Catholic University of Rio de Janeiro (PUC-Rio). He has a Master Degree in computer science with a strong background in machine learning, data mining and recommendation systems. His current research interests are in fields of computer vision and recommender systems. Performance focused engineer with over 14 years experience in enterprise systems development. Currently works on deep learning projects for the recommendation and personalization of content at Globo.com.