
    Given a list of paired user connection metrics, where each pair contains the number of mutual friends and shared interest score between two users, find the strongest potential friend recommendation by calculating the maximum absolute product of these metrics among all user pairs. The absolute product represents the overall connection strength between users, and a higher value indicates a stronger potential friendship match.
    

    
def max_product_tuple(list1):
    """
    Given a list of paired user connection metrics, where each pair contains the number of mutual friends and shared interest score between two users, find the strongest potential friend recommendation by calculating the maximum absolute product of these metrics among all user pairs. The absolute product represents the overall connection strength between users, and a higher value indicates a stronger potential friendship match.
    

    """
def max_product_tuple(list1):
    """
    Given a list of paired user connection metrics, where each pair contains the number of mutual friends and shared interest score between two users, find the strongest potential friend recommendation by calculating the maximum absolute product of these metrics among all user pairs. The absolute product represents the overall connection strength between users, and a higher value indicates a stronger potential friendship match.
    

    """
    result_max = max([abs(x * y) for (x, y) in list1])
    return result_max