Update app.py

app.py

@@ -232,6 +232,11 @@ with gr.Blocks() as iface:
                      description="Select a movie to get recommendations based on content filtering.")
     
     with gr.Tab("Collaborative Filtering"):
+        gr.Markdown("""# Movie Recommender - Item-Based Collaborative Filtering
+        * Create a movie-user matrix where rows represent movies and columns represent users, each cell contains the rating a user gave to a movie, or 0 if no rating exists.
+        * Calculate the cosine similarity between movies based on their rating patterns, results in a movie-movie similarity matrix.
+        * For a given movie, find the most similar movies based on this similarity matrix, and recommend these movies.
+        """)
         gr.Interface(fn=recommend_movies_cf,
                      inputs=gr.Dropdown(movie_list, label=f"Select a Movie (Total movies: {total_movies}, randomly list {input_count} for demo purpose.)"),
                      outputs=[gr.Textbox(label="Recommended Movies:")],
@@ -239,6 +244,7 @@ with gr.Blocks() as iface:
                      description="Select a movie to get recommendations based on collaborative filtering.")
 
     with gr.Tab("Collaborative Filtering with Neural Network"):
+        gr.Markdown("A Neural Network is used to predict the missing values in the movie-user matrix, which should improve our collaborative filtering recommendations.")
         gr.Interface(fn=recommend_movies_cfnn,
                      inputs=gr.Dropdown(movie_list, label=f"Select a Movie (Total movies: {total_movies}, randomly list {input_count} for demo purpose.)"),
                      outputs=[gr.Textbox(label="Recommended Movies:")],