MovieIt

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MovieIt Presentation for dragon's den pitch

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MovieIt

  1. 1. Foroogh Sedighi<br />Evangelos Tolias<br />Hamid Sar<br />Koysina Kristina<br />
  2. 2. Proposed system<br />What movies would I like to watch?<br />Recommendation scenarios<br />What cinema is the bestplace to watch this movie?<br />What movie is the best optionto watch in this Cinema?<br />
  3. 3. Related works<br />Academia<br />Market<br />Jinni Taste Engine<br />Movies Now<br />Filxup<br />Faves for Facebook<br />Trust-based recommendations<br />Recommendation<br />Systems<br />Advanced Recommendation algorithms<br />
  4. 4. See the difference<br />
  5. 5. Social Aspects of MovieIt<br />
  6. 6. Economic Aspects of MovieIt<br />
  7. 7. User Value<br />Fulfillment of self expression <br />Captures a movie social activity aspect<br />Better recommendations based on:<br /> Geolocation information<br /> Trusted Network (movies that friend that I follow watched and rated)<br /> Movies I saw and rated<br />
  8. 8. Revenue Models<br />Supported<br />Affiliate Model <br />gain traffic from <br />social networks<br />Targeted Advertisement exploiting our recommendation system<br />Revenue<br />
  9. 9. The Long Tail<br />Recommendations for<br />Popular movies<br />Cult Movies<br />(Art house films)<br />SOURCE: www.searchengineguide.com<br />
  10. 10. Further development<br />Future work<br />Folksonomies(users add keywords to movies for better search)<br />Streamed twitter feeds<br />
  11. 11. System Architecture<br />Twitter Rest API (OAuth v1.oa)<br />Facebook Graph API (Oauth 2.0)<br />Themoviedb Rest API<br />MySql (JDBC)<br />JSON-simple<br />Xstream<br />Scribe-Java<br />Pure HTML5<br />JavaScript<br />Jquery<br />Jquery Mobile<br />Native mobile apps<br />Mobile Web apps<br />Web apps<br />Desktop apps<br />Clients<br />Rest/JSON<br />Rest/JSON<br />HTML<br />MovieIt<br />Rest/JSON<br />Tomcat<br />Apache HTTP Server<br />MovieIt Servlet<br />Rest/JSON<br />TmDB<br />Local DB<br />MySQL<br />SOURCE iPhone:www.clker.com,<br />SOURCE Computer: www.manonatha.net<br />
  12. 12. Recommendations<br />Multidimensional recommendations<br />What to watch?<br />Where to watch?<br />Should I watch it?<br />Who wants to watch it with me? <br />SOURCE: http://clowder.net/hop/Riemann/Riemann.html <br />
  13. 13. Conclusion<br />Meaningful information<br />MovieIt<br />Network effect<br />Infrastructure<br />
  14. 14. Thank You!<br />Any Questions?<br />

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