
    Design a function for an event recommendation system that identifies the most compatible user-activity match by finding the pair with the lowest combined score, where each pair consists of a user's interest score and an activity's popularity score multiplied together. The system should process a list of user-activity compatibility pairs, where each pair contains two numerical scores, and return the minimum product to determine the optimal recommendation.
    

    
def min_product_tuple(list1):
    """
    Design a function for an event recommendation system that identifies the most compatible user-activity match by finding the pair with the lowest combined score, where each pair consists of a user's interest score and an activity's popularity score multiplied together. The system should process a list of user-activity compatibility pairs, where each pair contains two numerical scores, and return the minimum product to determine the optimal recommendation.
    

    """
def min_product_tuple(list1):
    """
    Design a function for an event recommendation system that identifies the most compatible user-activity match by finding the pair with the lowest combined score, where each pair consists of a user's interest score and an activity's popularity score multiplied together. The system should process a list of user-activity compatibility pairs, where each pair contains two numerical scores, and return the minimum product to determine the optimal recommendation.
    

    """
    result_min = min([abs(x * y) for (x, y) in list1])
    return result_min