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Vincent Simonet

Vincent Simonet

Vincent Simonet is Software Engineer at Google Paris since 2011. He his leading a project aiming at understanding YouTube contents in order to ease its promotion and discovery on YouTube, using techniques like semantic annotations, data mining, machine learning and video content analysis. He is a former student of the École normale supérieure (Paris, France) in Computer Science and Mathematics. He made a PhD at INRIA and defended it in 2004. From 2004 to 2011, he worked at AREVA, and was responsible for system and software of safety critical systems of nuclear power plants.
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    Classifying YouTube Channels: a Practical System
    Proceedings of the 2nd International Workshop on Web of Linked Entities (WOLE 2013), in Proceedings of the 22nd International conference on World Wide Web companion, ACM, pp. 1295-1304
    Preview abstract This paper presents a framework for categorizing channels of videos in a thematic taxonomy with high precision and coverage. The proposed approach consists of three main steps. First, videos are annotated by semantic entities describing their central topics. Second, semantic entities are mapped to categories using a combination of classifiers. Last, the categorization of channels is obtained by combining the results of both previous steps. This framework has been deployed on the whole corpus of YouTube, in 8 languages, and used to build several user facing products. Beyond the description of the framework, this paper gives insight into practical aspects and experience: rationale from product requirements to the choice of the solution, spam filtering, human-based evaluations of the quality of the results, and measured metrics on the live site. View details
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