Alexandr Dzuba

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This paper presents a set of algorithms used for music recommendations and personalization in a general purpose social network, the second largest social network in the CIS visited by more then 40 millions users per day. In addition to classical recommendation features like "recommend a sequence" and "find similar items" the paper describes novel(More)
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