Εφαρμογή αλγορίθμων εξατομίκευσης και ομαδοποίησης για το διαδικτυακό παιχνίδι League of Legends
Application of personalization and clustering algorithms for the online game League of Legends
KeywordsK-Means ; K-Means++ ; League Of Legends ; REST ; Εξατομίκευση ; Web application ; Android application
League of Legends is a widespread online multiplayer game that has been in the forefront of online games for about ten years. With over 32 million users, the League of Legends has a community that consists of both casual users and professional gamers who compete in global events for big money prizes. Within this community there are, even after 10 years, new users who are trying to understand the complex mechanisms of the game, to enter into a competitive game with more than 100 characters to choose from and coexist in a community that unfortunately does not even forgive mistakes for amateurs. For this reason, it was decided to create an online application as a helper to novice players, which will guide them through the many available characters of the game, as well as in organizing and communicating with other users, in order to help them develop their own a social network of users through which they can develop cooperative relationships and set up organized and integrated teams.