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Final Year Project Phase 1 Presentation Slide
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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)
- 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:
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
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
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)
Background Study & Literature Review
Feature:-Movie Rating Monitoring-Film Quizzes and Games-Video and Picture Sharing
Weakness:Rating System is not monitored
Flixster
Background Study & Literature Review
Feature:-Excellent Content Availability -Platform Varsity
Weakness:-Content Coverage is limited
NetFlix
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
Finding of Questionnaire
50 Respondents -32 Males-18 Females
Majority of the respondents watch movie weekly
Finding of Questionnaire
Majority of the respondents have mobile phone with internet access
Finding of Questionnaire
Majority of the respondents wanted to have a movie recommender system on their mobile phone
Finding of Questionnaire
Some of the features wanted to be seen in the movie recommender system
Use Overlap Coefficient algorithm to make movie recommendation
Proposed SolutionAlgorithm
Proposed SolutionUse Case Diagram
Proposed SolutionEntity Relationship Diagram
System Interface 1
Search Function
System Interface 2
Movie Description
System Interface 3
Main page after user has logged in
Q & A