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Source: Data Mining and Big Data : First International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016 : proceedings. [S. l.], 2016. P. 466-474
Type: статьи в сборниках
Date: 2016
Description:
This paper contains development of methods of improving TV-watching experience using Machine Learning for Linear TV recommendations. TV is a shared device, so the recommendations based on taste of onl
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Source: Intelligent computing methodologies : 12th international conference, ICIC 2016, Lanzhou, China, August 2-5, 2016 : proceedings Lecture notes in computer science ; vol. 9773. [S. l.], 2016. . Pt. 3. P. 607-615
Type: статьи в сборниках
Date: 2016
Description:
This paper describes methods of improving TV-watching experience using Machine Learning for Linear TV recommendations. There is an overview of existing methods for video content recommendations and an
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