Information overload has become a problem because of the rapid development of the internet, and recommendation systems have attracted attention and research as a solution. It is difficult to use explicit feedback data such as comments and reviews, which are used in other fields because of the unique characteristics of the game field. In this study, we focused on implicit feedback data and proposed a new game recommendation system based on the relationship between game playing time, friendships, and game selection. Furthermore, we confirmed the effectiveness of the proposed method using experiments.