With the development of the game and live stream industry, games are not only social media for modern people, but also an emerging business opportunity. The game mode and play channel are completely different from the past, and it is no longer limited to a specific time and space to play. Therefore, The game-related industry must continue to improve the quality of games and innovative ways to play, refer to the needs of consumers, develop innovative game modes and enhance players' game experience in order to continue to develop. This study retrieved data by using survey. Clustering and association analysis of data mining are applied to outline gamers, and four dimensional relationships are discussed, including gamer characteristics, and to explore the correlation between player profiles, Online Game content, virtual shopping behavior, Online Game community behavior and live stream. This study proposed recommendation system and services according to gamer preference on games and shopping, offering game companies some references.