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Web-based Movie Recommender System Using User Preference Models with Adjusted Euclidean Distance Similarity Measure

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Web-based Movie Recommender System Using User Preference Models with Adjusted Euclidean Distance Similarity Measure
論文目錄
 
Acknowledgements第1-5頁
abstract第5-8頁
Abbreviations第8-12頁
CHAPTER 1: INTRODUCTION第12-16頁
  1.1 Background第12-13頁
  1.2 Purpose第13頁
  1.3 Approach第13-15頁
  1.4 Thesis Structure第15-16頁
CHAPTER 2: RECOMMENDATION SYSTEMS AND RELATED WORK第16-33頁
  2.1 Information retrieval and filtering第16-18頁
  2.2 Recommendation Systems第18-25頁
  2.3 Common Drawbacks in Recommender Systems第25-27頁
  2.4 Related work第27-33頁
CHAPTER 3: PROPOSED SIMILARITY MEASURES第33-57頁
  3.1 Collaborative filtering Approach第33-34頁
  3.2 The Modeling of Approach第34頁
  3.3 AED similarity measure based on user preference models第34-39頁
  3.4 Experiments and Evaluation第39-51頁
  3.5 Challenges for Application Development第51-57頁
CHAPTER 4: APPLICATION DEVELOPMENT第57-73頁
  4.1 Existing Online Movie Recommendation Systems第57-58頁
  4.2 System Overview第58-59頁
  4.3 Choice of Programming Language and Web Framework第59-61頁
  4.4 Functional Requirements of Application第61-66頁
  4.5 Non-Functional Requirements第66-67頁
  4.6 System Requirements第67-69頁
  4.7 Use case Diagrams第69-73頁
CHAPTER 5: APPLICATION DESIGN第73-87頁
  5.1 Application Components第73-74頁
  5.2 Flow Chart Diagrams第74-81頁
  5.3 Database第81-87頁
CHAPTER 6: IMPLEMENTATION AND TESTING OF APPLICATION第87-107頁
  6.1 Implementation Environment第87-88頁
  6.2 Django Project File Structure第88-89頁
  6.3 Django Project Components第89-95頁
  6.4 Frontend Interface第95-102頁
  6.5 Admin Interface第102頁
  6.6 Testing of Application第102-107頁
CHAPTER 7: CONCLUSION AND FUTURE WORK第107-109頁
  7.1 Conclusion第107頁
  7.2 Future Work第107-109頁
REFERENCES第109-112頁

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