Moviesion: Content-based Movie Recommender Fueled by Linked Open Data
A content based movie recommender system for mobile application
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Transcript of A content based movie recommender system for mobile application
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A Content-based Movie Recommender System for
Mobile ApplicationSupervisor: Dr. Khairil Imran GauthModerator: Dr. Yeoh Eng ThiamPresenter: Ahmad Arafat Bin Mohd Ali (1091105499)
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- What is a Recommender System? -> Information Filtering System
- Act as an information filtering from a large collection items (such as movies) by recommending some movies to users.
- Develop a movie recommender system on a mobile phone
Project Overview:
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People have problem in selecting alternative items (eg. movies)
Get movie recommended by friends or movie expert reviews from website / magazine- > Time consuming
Need large data set of movie collection Mobile Phones in the market has limited
processing power to handle the recommender system calculation. Solution - > Web Services
Problem Description
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Develop an algorithm for recommending movies
Working with a large dataset of movies (source GroupLens)
Implement Web-Services (server-side) -Advantage: Increase performance in the mobile phone
Implement Mobile Application (client-side)
Project Objectives
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Background Study & Literature Review
Features: -Auto Movie Recommendation-Watch List-Like Feature
Weakness: -Lack of Sign in Feature-Inaccurate Movie Ranking
The Internet Movie Database (IMDb)
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Background Study & Literature Review
Feature:-Movie Rating Monitoring-Film Quizzes and Games-Video and Picture Sharing
Weakness:Rating System is not monitored
Flixster
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Background Study & Literature Review
Feature:-Excellent Content Availability -Platform Varsity
Weakness:-Content Coverage is limited
NetFlix
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Background Study & Literature Review
Feature:-Movie Can be shared via Facebook-Find Movie Listing using third party search engine
Weakness:- Smaller collection of movies- No rating and review features
MSN Movie
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Finding of Questionnaire
50 Respondents -32 Males-18 Females
Majority of the respondents watch movie weekly
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Finding of Questionnaire
Majority of the respondents have mobile phone with internet access
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Finding of Questionnaire
Majority of the respondents wanted to have a movie recommender system on their mobile phone
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Finding of Questionnaire
Some of the features wanted to be seen in the movie recommender system
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Use Overlap Coefficient algorithm to make movie recommendation
Proposed SolutionAlgorithm
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Proposed SolutionUse Case Diagram
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Proposed SolutionEntity Relationship Diagram
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System Interface 1
Search Function
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System Interface 2
Movie Description
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System Interface 3
Main page after user has logged in
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Q & A