Abstract: Magic is a long history table games, and can be composed of countless decks because of its complexity in logic and numerous cards.To recommend cards based on logic is difficult to achieve,and the time complexity of the algorithm based on logic is non-deterministic polynomial.Magic recommendation algorithm based on bayesian theory mainly uses the user’s decks as the raw data to calculate a recommendation matrix to replace the logic portion of the logic-based re-commendation algorithm.It avoids the logic-based recommendation algorithm NP problem,and the recommended rate is increasing with the user accuracy decks increasing.

Key words: Magic card,Recommendation algorithm,Correlationmatrix,Correlation matrix,Machine learning