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Movie Prose - A Business Intelligence system

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ankurkath

Datamining in Business Intelligence - course project

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Movie Prose Using B.I. for Movie Recommendations and Customized Ads Ankur Kath, Arun Agrahri , , Avanidhar Chandrasekaran ,Jou Vang, Ted Armstrong, Tyson Burke
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Recommendation Engine ( System Design)
System Components ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Benefits of Recommendations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Approaches ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Related Systems
 
Analysis ,[object Object],MovieLens DataBase Training Data Classification Model Profile Manager Prediction Model
Demographic Profile Age Gender Occupation Genres 20 Male student Adventure, Fantasy, Children 21 Female student Fantasy, Sci-Fi, Children 32 Male Engineer Adventure, Action 33 Female Engineer Adventure, Sci-Fi, Action 34 Male Doctor Sci-Fi, War, Action 35 Female Doctor Adventure, Sci-Fi, Action 31 Female Technician Mystery, Sci-Fi, Thriller 36 Male Technician Action, Adventure, Romance, War, Sci-Fi 28 Male Entertainment Adventure, Sci-Fi, War, Action 27 Female Entertainment Adventure, Comedy, Action 32 Female Marketing Action, Adventure, Romance, Sci-Fi, War 37 Male Marketing Sci-Fi, Thriller, Action
AGE GENDER Occupation Movie Recommendations Recommender Engine User Preference Inferences
Personalized Movie Advertisements to Targeted users ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Rating Occupation Movie Recommendations and Advertisements Recommender Engine/ Affinity Analysis Genre Specific User Rating Genre Movie Name
Average Rating for Genres ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Highly Rated Movies ,[object Object],[object Object],[object Object],[object Object],[object Object]
Highly Rated Movies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Implications of our Approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],EVALUATION

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Movie Prose - A Business Intelligence system

  • 1. Movie Prose Using B.I. for Movie Recommendations and Customized Ads Ankur Kath, Arun Agrahri , , Avanidhar Chandrasekaran ,Jou Vang, Ted Armstrong, Tyson Burke
  • 2.
  • 3. Recommendation Engine ( System Design)
  • 4.
  • 5.
  • 6.
  • 8.  
  • 9.
  • 10. Demographic Profile Age Gender Occupation Genres 20 Male student Adventure, Fantasy, Children 21 Female student Fantasy, Sci-Fi, Children 32 Male Engineer Adventure, Action 33 Female Engineer Adventure, Sci-Fi, Action 34 Male Doctor Sci-Fi, War, Action 35 Female Doctor Adventure, Sci-Fi, Action 31 Female Technician Mystery, Sci-Fi, Thriller 36 Male Technician Action, Adventure, Romance, War, Sci-Fi 28 Male Entertainment Adventure, Sci-Fi, War, Action 27 Female Entertainment Adventure, Comedy, Action 32 Female Marketing Action, Adventure, Romance, Sci-Fi, War 37 Male Marketing Sci-Fi, Thriller, Action
  • 11. AGE GENDER Occupation Movie Recommendations Recommender Engine User Preference Inferences
  • 12.
  • 13. Rating Occupation Movie Recommendations and Advertisements Recommender Engine/ Affinity Analysis Genre Specific User Rating Genre Movie Name
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.