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Mehmet Emre Sargin

Mehmet Emre Sargin

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    Deep Neural Networks for YouTube Recommendations
    Paul Covington
    Jay Adams
    Proceedings of the 10th ACM Conference on Recommender Systems, ACM, New York, NY, USA (2016) (to appear)
    Preview abstract YouTube represents one of the largest scale and most sophisticated industrial recommendation systems in existence. In this paper, we describe the system at a high level and focus on the dramatic performance improvements brought by deep learning. The paper is split according to the classic two-stage information retrieval dichotomy: first, we detail a deep candidate generation model and then describe a separate deep ranking model. We also provide practical lessons and insights derived from designing, iterating and maintaining a massive recommendation system with enormous user-facing impact. View details
    Boosting Video Classification Using Cross-Video Signals
    Proceedings of the IEEE Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2011) (to appear)
    Preview
    Automatic Language Identification in Music Videos with Low Level Audio and Visual Features
    Vijay Chandrasekhar
    Proceedings of the IEEE Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2011)
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