def METHOD_NAME(conversation_uuid, user_b_quiz_uuid):
    """
    Calculate the overall similarity score based on user b and user a's quiz results.
    Parameters
    ==========
    conversation_uuid (UUID)
    user_b_quiz_uuid (UUID)
    Returns
    ==========
    overall_similarity_score (float) - calculated using the Kendall Tau-B model, transformed (+1) and scaled (/2)
    """
    conversation, user_a_quiz_uuid = (
        db.session.query(Conversations, Users.quiz_uuid)
        .join(Users, Users.user_uuid == Conversations.sender_user_uuid)
        .filter(Conversations.conversation_uuid == conversation_uuid)
        .one_or_none()
    )
    user_a_scores_list = get_scores_list(user_a_quiz_uuid)
    user_b_scores_list = get_scores_list(user_b_quiz_uuid)
    overall_similarity_score = (
        kendalltau(user_a_scores_list, user_b_scores_list).correlation + 1
    ) / 2
    return overall_similarity_score