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基于偏好的教育推荐系统设计与实现

摘要第4-6页
Abstract第6-7页
DEDICATION第8-12页
1 Introduction第12-18页
    1.1 Motivation of the Thesis第13-14页
    1.2 Objectives of the Thesis第14-16页
    1.3 Contribution of Thesis第16页
    1.4 Structure of Thesis第16-17页
    1.5 Summary第17-18页
2 Preliminaries第18-36页
    2.1 Cloud Computing第18-21页
        2.1.1 What is Cloud Computing第18-19页
        2.1.2 Benefits of Cloud in modern Era of technology第19-21页
    2.2 Online Learning第21-29页
        2.2.1 Using Technology for Online Learning第21-22页
        2.2.2 Learning mechanism used by current Online Learning sites第22-27页
        2.2.3 Benefits over former learning method of libraries and books第27-28页
        2.2.4 Challenges and Solutions第28-29页
    2.3 Recommendation System第29-31页
        2.3.1 Recommendation System Insights第29-30页
        2.3.2 Current Usages on top Social Networking Sites第30页
        2.3.3 Effects on society and human behavior第30-31页
        2.3.4 Growth of businesses with Recommendation System第31页
    2.4 Recommendation System in Online Learning第31-32页
        2.4.1 Leveraging Online Learning with Recommendation System第31-32页
        2.4.2 Big Picture Benefits第32页
    2.5 Summary第32-36页
3 Preference Based Recommendation System第36-64页
    3.1 Paradigm shift from former way of learning第36-37页
    3.2 Exploring Preference Based Recommendation System第37-38页
        3.2.1 All in one Educational Results第37页
        3.2.2 System Mechanics第37-38页
    3.3 Comparison & Benefits第38页
    3.4 Proposed User Interface for PBERS第38-40页
    3.5 Design Concepts第40-42页
        3.5.1 Characteristics of Good User Interface第40页
        3.5.2 Designing User Interface第40-42页
        3.5.3 Representation of Data第42页
    3.6 Technology and Platform第42-44页
        3.6.1 Front End Language第43-44页
        3.6.2 Backend Database第44页
    3.7 Use case Diagram第44-46页
    3.8 Component Design第46-49页
        3.8.1 Recommendation第46-47页
        3.8.2 Search第47-49页
    3.9 Interaction of UI with Backend第49-53页
        3.9.1 Frontend User Interface第49页
        3.9.2 Content Request/Response第49-50页
        3.9.3 Ajax Calls第50页
        3.9.4 Web Server第50页
        3.9.5 PHP Processor第50页
        3.9.6 Database第50-53页
    3.10 Comparison with other Educational Networks第53-54页
    3.11 Proposed Solution第54-60页
        3.11.1 Similar Users第55-56页
        3.11.2 Favorite Recommendations第56页
        3.11.3 Database Fetch第56页
        3.11.4 Score Computation第56-57页
        3.11.5 Time第57页
        3.11.6 Final Calculation第57-58页
        3.11.7 Activity Prioritization第58-59页
        3.11.8 Score Computation Examples第59-60页
    3.12 Cold Starts第60-61页
        3.12.1 Existing information第60-61页
    3.13 Performance Considerations第61-62页
    3.14 Recommendation Generation第62-63页
    3.15 Summary第63-64页
4 Implementation Mockup Design of System第64-86页
    4.1 Front end UI design benefits第64-84页
        4.1.1 Initial Layout第64-65页
        4.1.2 Search Results第65-67页
        4.1.3 Instant Preview第67-76页
        4.1.4 Resource Display第76-78页
        4.1.5 Preference Settings第78-79页
        4.1.6 User Profile第79-80页
        4.1.7 Customization第80页
        4.1.8 Widgets第80-81页
        4.1.9 Drag & Drop第81-82页
        4.1.10 Smart Phone/Pad version第82-84页
    4.2 Summary第84-86页
5 Conclusion第86-88页
    5.1 Concluding Remarks第86-87页
    5.2 Future Work第87页
    5.3 Summary第87-88页
References第88-94页
Research Achievements第94-95页
Acknowledgement第95页

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