A Netflix competition triggered a major academic research effort in recommender systems. However, there is still a big gap between academic research and industry. Danny Bickson covers the current state of recommender systems in industry and explains why, while user historical purchase data is understood very well, recommenders based on images and text are just starting to pick up.
Danny Bickson is the cofounder of Dato, a Seattle-based predictive analytics company. Previously, Danny was a postdoc in the Machine Learning department at Carnegie Mellon University and one of the initiators of the GraphLab open source project.
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