Hien is greatly experienced in designing and building big data applications and scalable web-based applications. Hien has 3+ years in expertise in managing multiple data infrastructure related projects.
Growth and User Engagement Empowered by Machine Learning - A Case Study of LinkedIn’s Recommender System
by Hien Luu, Engineering Manager, LinkedIn
Recommender systems are considered one of the classic Machine Learning and Big Data applications. They are tremendously useful in introducing products or information to users in a personalized manner whilst enhancing user satisfaction and loyalty. LinkedIn has incorporated recommender systems in building high-value and highly engaged data products since its early days. Now, almost all LinkedIn product lines have a recommender system in its product folio such as job recommendations, people and companies to follow, and courses to take. This talk will share high level glimpses into these recommender systems, the techniques used, and the challenges in building, deploying and operating them at scale.
Workshop: Structured Streaming and Spark Machine Learning