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Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Sergey Panyushkin
Matchmaking in the Social Network Game
Business Informatics
(Bachelor’s programme)
8
2018
This paper is devoted to improving the user experience in social casual poker by developing adaptive matchmaking, which considers the player's game behaviour. The general purpose is increase the number of games played by user with automatic table selection. In this paper, considered the analysis of real game dataset, various methods clustering (k-means and spectral) are used for defining user groups with different statistical tests for significance detection and, finally, development of prediction model of played time between different clusters. Also, a separate part of the work is devoted to the analysis of games and psychology of poker. As a result, developed an algorithm that can increase the retention and, therefore, the user lifetime value.

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