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Förderverein Technische Fakultät
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Förderverein Technische Fakultät
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Förderverein Technische Fakultät
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Advances in Visual Quality Restoration with Generative Adversarial Networks
Förderverein Technische Fakultät
Recommendation systems today are widely used across many applications such as in multimedia content platforms, social networks, and ecommerce, to provide suggestions to users that are most likely to fulfill their needs, thereby improving the user experience. Academic research, to date, largely focuses on the performance of recommendation models in terms of ranking quality or accuracy measures, which often don’t directly translate into improvements in the real-world. In this talk, we present some of the most interesting challenges that we face in the personalization efforts at Netflix. The goal of this talk is to sunshine challenging research problems in industrial recommendation systems and start a conversation about exciting areas of future research.
Recent Trends in Personalization at Netflix
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Der menschlichen Stimme auf der Spur
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Der menschlichen Stimme
auf der Spur Manfred Kaltenbacher Institut für Intelligente Systemtechnologien Alpen-Adria Universität Klagenfurt
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