def combine_similarity_and_feedback_score(feedback_score, similarity_score, alpha=0.5):

    """
    Compute the combination of embedding similarity and feedback score

    Input:  feedback_score: feedback score computed by compute_feedback_score, if no feedbacks, default to (1 - alpha)
            similarity_score: similarity between the two keywords
            alpha: higher alpha = higher feedback weight

    Output: score combination of similarity and feedback
    """

    return (1 - alpha) * similarity_score + alpha * feedback_score