Movie Recommendation

The Movie Recommendation task evaluates a language model's ability to suggest relevant movie recommendations based on collaborative filtering data. This task aims to test the model's accuracy in predicting movies that users might be interested in, using user behavior data such as ratings and viewing history, thereby enhancing the performance and user experience of personalized recommendation systems.