| 000 | 02171naa a2200349 c 4500 | ||
|---|---|---|---|
| 001 | vtls000624084 | ||
| 003 | RU-ToGU | ||
| 005 | 20210922093902.0 | ||
| 007 | cr | | ||
| 008 | 180405s2016 ru s engsdd | ||
| 024 | 7 |
_a10.1007/978-3-319-42297-8_56 _2doi |
|
| 035 | _ato000624084 | ||
| 040 |
_aRU-ToGU _brus _cRU-ToGU |
||
| 100 | 1 |
_aBaklanov, Mikhail A. _9422384 |
|
| 245 | 1 | 0 |
_aMethods of machine learning for linear TV recommendations _cM. A. Baklanov, O. E. Baklanova |
| 504 | _aБиблиогр.: 11 назв. | ||
| 520 | 3 | _aThis 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 attempt of developing new method that focused only on linear TV recommendations and takes into account all specifics around it. Recommendation system based on this approach was implemented in Russian pay TV provider ZOOM TV, and demonstrated two times churn rate reduction in comparison with same service without recommendation system. Existing methods and new method effectiveness compared with offered approach by analyzing real people content consumption during 1 year. | |
| 653 | _aмашинное обучение | ||
| 653 | _aлинейное телевидение | ||
| 653 | _aумное телевидение | ||
| 653 | _aSmart TV | ||
| 653 | _aрекомендательные системы | ||
| 653 | _aрекомендации контента | ||
| 653 | _aвидеоконтент | ||
| 655 | 4 |
_aстатьи в сборниках _9713576 |
|
| 700 | 1 |
_aBaklanova, Olga E. _9422383 |
|
| 773 | 0 |
_tIntelligent computing methodologies : 12th international conference, ICIC 2016, Lanzhou, China, August 2-5, 2016 : proceedings Lecture notes in computer science ; vol. 9773 _d[S. l.], 2016 _g. Pt. 3. P. 607-615 _x9783319422961 |
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| 852 | 4 | _aRU-ToGU | |
| 856 | 7 | _uhttp://vital.lib.tsu.ru/vital/access/manager/Repository/vtls:000624084 | |
| 908 | _aстатья | ||
| 999 | _c432755 | ||