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    +1       +1  ' & (                             Conference (2009) Volume: 5823, Publisher:
1                 1.                      Springer, Pages: 293-309
2 & '   0  2  (       0                  [2] Konstantin V. Shvachko Apache Hadoop The
1.                                                             Scalability Update []  (2 ].
       1  ( &(  %                           "9 &  : URL: https://www.usenix.org/
& +' ( &(          0    &'                          system/files/login/articles/ 105470-Shvachko.pdf,
 (   2  (                                       2011.
)   0        +1( & &                      [3] Liang Xiang Hulu's Recomendation System
   -    2          6. 79                      []  (2 ]. "9 &  : URL:
 9 (' '+'  + & '  1 )(                              http://tech.hulu.com/blog/2011/09/19/recommenda
&    &' + , & %(                         tion-system/, 2011.
   '  &   ( .'                           [4] Zan Huang, Wingyan Chung, and Hsinchun
 (   2.   ( & '                           Chen. A Graph Model for E-Commerce
1 ' 2 ' ''        ('                             Recommender Systems. // Journal of the
     '(/0 (  &         &.                      American society for information science and
         )(        +1  '.                            technology, 55(3):259-274, 2004.
  ( 1  ' '-' &( e-                       [5] 2 2 ‘   
mail ( ,    2%                                  +,           &(  & + 
( ,     &  ( '                                  & 9 2   // B   +'
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                                                                   [6] $. 7 9  " & +( (:
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                                                                       []  (2 ]. "9 &  : URL:
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0    ( &  . B 0                         [7] B            
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   ( : [&.$1(                               http://siliconrus.com/2015/03/yandex-music/, 2015.
(&  ),  , Hulu ( &  ), ..                 [8] Davidson, J., Liebald, B., Liu, J., Nandy, P., Van
 '-       '   )-  , +,                        Vleet, T. The YouTube video recommendation
+1      ) '  )             62                    system // (2010) RecSys'10 - Proceedings of the 4th
 .                                                              ACM Conference on Recommender Systems, pp.
       & 2   &  2 1                             293-296.
  (              & &                     -             [9] Benhardson E. Implementing a Scalable Music
 & +(   9 % 1                            Recommender System []  (2 ].
   (,'          (..    '                       "9 &  : URL: https://www.nada.kth.se/
 9&'        +1  2) & 92                               utbildning/grukth/exjobb/ra pportlistor/2009/
 %  0   2  ..                             rapporter09/bernhardsson_erik_090
 & + 2         (              Hulu               71.pdf – [1. % .  6': 10.05.2015.
 (          ( '             2
   1     +,   &(                            Approaches to Improve the Pertinence of
    +1  + & )'.   +                   Information in the Media Services on the Basis
  +  & (  Spotify, iTunes,                             of Big Data Processing
Pandora, YouTube  Netflix. /& 0 & 
  1 , ..       '-'  9 (                   Stanislav A. Philippov, Victor N. Zakharov, Sergey A.
 &(      Item-based       Collaborative     Filtering,         Stupnikov, Dmitriy Yu. Kovalev
    +1-6                   +1  2       & '
              (         '12        9&                Today, when relevant search methods have almost
 . (           &.,            & +            reached its ceiling, increasing attention is paid to
 & ( () 2 Map Reduce [8-9].                        improving pertinence information. In this paper, the
                                                                  basic approaches to identifying user personal interests,
2 %                                                        as well as detailed principles of the recommendation
                                                                  system known as streaming video service Hulu are
[1] J. Urbani, S. Kotoulas, E. Oren, F. van Harmelen.             considered. This work was supported by the Ministry of
     Scalable Distributed Reasoning using Map Reduce              Education and Science of the Russian Federation. A
     // Proceedings of the International Semantic Web             unique number of work is RFMEFI60414X0139.




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