28 November 2013
Adaptive Information Filtering: from theory to practice
Meeting Room 10, 2nd Floor, JLB
12:30pm - 13:45pm
Dr Nikolaos Nanas - Researcher at the Institute of Research and Technology Thessaly (IRETETH), Greece
Adaptive Information Filtering (AIF) seeks to provide an individual with content that is relevant to the individuals multiple and evolving interests. It is a complex and dynamic computational problem, with no established solution. After ten years of research and two years of development, Noowit is a personalized reading and publishing app based on Nootropia, an immune-inspired user profiling model for AIF, that breaks away from traditional IR-based approaches. The talk will focus on the theoretical foundations of the model and the lessons learned from applying AIF in practice for the first time. The disrupting effect of content personalization on online publishing and media in general will also be discussed. The talk will also be relevant to those contemplating or already working on turning their research into a web startup.
Nikolaos Nanas studied civil engineering at the Aristotle University of Thessaloniki (Greece). He received his M.S. degree in Intelligent Systems from the University of Sussex (U.K.) and his Ph.D. in Artificial Intelligence from the Knowledge Media Institute of the Open University (U.K.). His research work lies in the areas of Biologically Inspired Computing, Adaptive Information Filtering, Web Personalization, Complex Systems and Statistical Natural Language Processing. Since September 2011, he has been working on turning his academic work and experience into a solution to the problem of Information Overload. Noowit is the result of this effort and the first real world application of Adaptive Information Filtering.
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