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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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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

Recommends movies


Background & Related Work

Other movie recommendation systems – Use movie ratings

We use

Machine learning – Support Vector Machine (SVM)

Cluster analysis – K Means Algorithm


Implementation

Machine Learning based Preference Prediction


Implementation (contd.)

Data description

Data formatting for SVM regression


Implementation (contd.)


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


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>


Demonstration


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