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基于Apache Spark的增强型奇异协同过滤推荐系统

致谢 Acknowledgements第5-6页
摘要第6-10页
ABSTRACT第10-11页
CHAPTER 1: INTRODUCTION第16-22页
    1.1 Background第16-17页
    1.2 Current research status第17-18页
    1.3 Major challenges第18-20页
    1.4 Research contribution第20-21页
    1.5 Organization of this Thesis第21-22页
CHAPTER 2: PRELIMINARIES AND RELATED WORKS第22-42页
    2.1 Recommender Systems Approach第22-38页
        2.1.1 Content-based Approaches第23-24页
        2.1.2 Collaborative filtering Approaches第24-35页
            2.1.2.1 Memory-based or Neighborhood-based Recommender Systems第25-28页
            2.1.2.2 Components of memory-based method第28-32页
            2.1.2.3 Model-based Recommender Systems第32-35页
            2.1.2.4 Advantages of collaborative filtering第35页
            2.1.2.5 Weaknesses of collaborative filtering第35页
        2.1.3 Knowledge-based Approaches第35-37页
            2.1.3.1 Constraint-based Recommender Systems第36-37页
            2.1.3.2 Case-based Recommender Systems第37页
        2.1.4 Hybrid Approaches第37-38页
    2.2 Related Works第38-42页
        2.2.1 Singular rating CF based Recommender Systems第38-40页
        2.2.2 Distributed Collaborative filtering based Recommender Systems第40-42页
CHAPTER 3: PROPOSED WORK第42-51页
    3.1 Motivation第42-43页
    3.2 Problem Definition and Notation第43页
    3.3 Proposed Solution (ESCF: Enhanced Singular Collaborative Filtering)第43-51页
        3.3.1 SingCF (Singular Collaborative Filtering)第43-44页
        3.3.2 ESCF (Enhanced Singular Collaborative Filtering)第44-46页
        3.3.3 The steps of the proposed method第46-50页
        3.3.4 Complexity and scalability of ESCF第50-51页
CHAPTER 4: RESEARCH METHODOLOGY AND EXPERIMENTAL RESULTS第51-61页
    4.1 Methodology第51-55页
        4.1.1 Experiment Platform第51-53页
            4.1.1.1 Apache Spark第51-53页
        4.1.2 Experiment Dataset第53-54页
        4.1.3 Experimental setup第54页
        4.1.4 Evaluation Metrics第54-55页
    4.2 Experimental Results第55-58页
    4.3 Experimental Analysis第58-59页
    4.4 Performance on cold start condition第59-61页
CHAPTER 5: CONCLUSION AND FUTURE WORKS第61-64页
    5.1 Conclusion第61-62页
    5.2 Future Works第62-64页
参考文献References第64-68页
Author Profile and Research Achievements Obtained during the Study for A Master's/Doctoral Degree第68-70页
Dataset for the Master's Thesis第70-71页

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