1. Client-Server Movie Service Charles Snyder

2. Concept  Media recommendation service  Movie database  Categorized by genre relevance  Users have some preferences  Match users to movies by similarity  Influenced by popular trends

3. Firefly Algorithm  Inspired by firefly behavior  Fireflies attracted to apparent brightest flash  Actual brightness  Distance  Firefly = Solution  Brightness = Fitness  Solutions will cluster around local optima

4. Applied Algorithm  Movies & users as fireflies in multi-dim space  Movies flash when users rate them  Positive rating = attractive flash  All users move towards a flash  Crowd intelligence

5. Architecture Client Server Movie DB Client 1 Register Recommend Rate Last 10 Recommendations

6. Client  GUI  Connect  Request a recommendation  Rate a viewed movie  Keep list of last 10

7. Server  Store movie database  Give recommendation by weighted random selection of 10 closest movies  React to rating by performing firefly algorithm  2D GUI of all users

8. Demo

9. Step 1

10. Step 2

11. Step 3