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Can I Recommend  a movie for you? Now, on this booth! Get movie recommendations using the Grid
Using Grids to support  Recommender Systems DEMO
www.canalcinefilia.com.br
www.canalcinefilia.com.br  - rating movies
MySQL www
User’s profile
Recommender system Algorithm
User’s profile
Rating Matrix 390 users X 900 movies ~ 351,000 comparisons per user                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    
User’s neighborhood 0.9 0.8 0.7 0.6 0.5 0.4 0.3 1 Pearson  Correlation -1   <  r  <   1
Will the user enjoy the movie “Yes Man” ? Generating the recommendations User’s neighborhood This repeats for every movie not rated 0.9 0.8 0.6 0.4 0.3 Weighted mean Rating Prediction generated
Implementation on the Grid
MySQL www
Grid UI .JDL LFC
SE SE
Grid UI Input sandbox Recommender.class Start.sh mdclient.config
Grid UI WMS
CE  1 CE  2 CE  n WN WN WN SE SE
Version I
CE  1 CE  2 CE  n WN WN WN .SQL .SQL .SQL .SQL .SQL .SQL .SQL .SQL .SQL
Grid UI WMS Output sandbox .SQL .SQL .SQL
MySQL www
Version II
CE  1 CE  2 CE  n WN WN WN AMGA
MySQL www
Version III (future work)
CE  1 CE  2 CE  n WN WN WN GRelC API GRelC API GRelC API
MySQL www
The End Thank you! [email_address] http://applications.eu-eela.eu/application_details.php?ID=59

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Cinefilia Demo - EGEE User Forum 2009

  • 1. Can I Recommend a movie for you? Now, on this booth! Get movie recommendations using the Grid
  • 2. Using Grids to support Recommender Systems DEMO
  • 9. Rating Matrix 390 users X 900 movies ~ 351,000 comparisons per user                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    
  • 10. User’s neighborhood 0.9 0.8 0.7 0.6 0.5 0.4 0.3 1 Pearson Correlation -1 < r < 1
  • 11. Will the user enjoy the movie “Yes Man” ? Generating the recommendations User’s neighborhood This repeats for every movie not rated 0.9 0.8 0.6 0.4 0.3 Weighted mean Rating Prediction generated
  • 15. SE SE
  • 16. Grid UI Input sandbox Recommender.class Start.sh mdclient.config
  • 18. CE 1 CE 2 CE n WN WN WN SE SE
  • 20. CE 1 CE 2 CE n WN WN WN .SQL .SQL .SQL .SQL .SQL .SQL .SQL .SQL .SQL
  • 21. Grid UI WMS Output sandbox .SQL .SQL .SQL
  • 24. CE 1 CE 2 CE n WN WN WN AMGA
  • 27. CE 1 CE 2 CE n WN WN WN GRelC API GRelC API GRelC API
  • 29. The End Thank you! [email_address] http://applications.eu-eela.eu/application_details.php?ID=59