Detection of Landmarks for Clustering of Online-Game Players

  title={Detection of Landmarks for Clustering of Online-Game Players},
  author={Ruck Thawonmas and Masayoshi Kurashige and Kuan-Ta Chen},
Understanding of player behaviors is an important issue to keep online games interesting to their players. Focusing on player movement, in our previous work, we proposed a method for clustering online-game players based on the transition probabilities between manually determined landmarks in a game map of interest. In this paper, we first propose a method for automatically detecting landmarks from player trails based on weighted entropy of the distribution of visiting players. Next, we describe… CONTINUE READING