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MovieGEN: A Movie Recommendation System

MovieGEN: A Movie Recommendation System. Gaurangi, Eyrun, Nan. Outline. Introduction Related work Implementation Results (Demo) Summary. Introduction. Recommendation systems are special types of expert systems Why necessary? MovieGEN Takes in : Personal particulars Asks questions

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MovieGEN: A Movie Recommendation System

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  1. MovieGEN: A Movie Recommendation System Gaurangi, Eyrun, Nan

  2. Outline Introduction Related work Implementation Results (Demo) Summary

  3. Introduction Recommendation systems are special types of expert systems Why necessary? MovieGEN Takes in : Personal particulars Asks questions Recommends movies

  4. Background & Related Work Other movie recommendation systems – Use movie ratings We use Machine learning – Support Vector Machine (SVM) Cluster analysis – K Means Algorithm

  5. Implementation Machine Learning based Preference Prediction

  6. Implementation (contd.) Data description Data formatting for SVM regression

  7. Implementation (contd.)

  8. Machine Learning Output Vector Movie XML Chosen Movies Movie Ranking Algorithm SVM based Machine Learning Model Ranked Movies K Means Clustering Movie Clusters Question Generator Feedback to Questions Question Recommended Movies Evaluation of recommendation Implementation (contd.) Movie Ranking Based on output from SVM Clustering K Means Question generator

  9. Implementation (contd.) Movie Database 300 movies Information from IMDB • <MOVIE> • <NAME>Titanic</NAME> • <GENRE>Romance</GENRE> • <GENRE>Drama</GENRE> • <STARRING>Leonardo DiCaprio</STARRING> • <STARRING>Kate Winslet</STARRING> • <DIRECTOR>James Cameron</DIRECTOR> • <YEAR>1990s</YEAR> • <AGE_GROUP>Adults</AGE_GROUP> • <GENDER>Both</GENDER> • <RATING>7.2</RATING> • <OSCAR>11</OSCAR> • </MOVIE>

  10. Demonstration

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