ฟังก์ชันแนะนำภาพยนตร์

# Generate mapping between titles and index
indices = pd.Series(metadata.index, index=metadata['title']).drop_duplicates()

def get_recommendations(title, cosine_sim, indices):
    # Get index of movie that matches title
    idx = ____[____]
    # Sort the movies based on the similarity scores
    sim_scores = list(enumerate(cosine_sim[idx]))
    sim_scores = sorted(sim_scores, key=lambda x: x[1], reverse=True)
    # Get the scores for 10 most similar movies
    sim_scores = sim_scores[____]
    # Get the movie indices
    movie_indices = [i[0] for i in sim_scores]
    # Return the top 10 most similar movies
    return metadata['title'].iloc[movie_indices]