创建一个电影推荐系统，根据用户的电影喜好推荐电影。


<示例输入: 用户之前观看的电影清单>
抱歉，我目前只能以英文回答您的问题。 

To create a movie recommendation system based on a user's movie preferences, you would typically collect data on the user's past movie viewing history and analyze this data to identify patterns or preferences. This information can then be used to suggest new movies that align with the user's interests. Strategies to accomplish this can include collaborative filtering, content-based filtering, or hybrid approaches that combine these methods. The effectiveness of the system can be evaluated through metrics such as accuracy and user satisfaction.