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基于挖掘用户生成内容的产品搜索引擎设计

摘要第4-6页
Abstract第6-8页
Chapter 1 Introduction第16-38页
    Research Background, Objective and Significance第16-21页
        Research Background第16-19页
        Research Objective and Key Questions第19-20页
        Research Significance第20-21页
    Literature Review第21-34页
        Mining and Summarizing Opinions第21-29页
        Mining and Summarizing Chinese Opinions第29-32页
        Feature-Based Product Ranking第32-34页
    Research Contents and Methodology第34-37页
        Methodology第34-36页
        Research Contents第36-37页
    Chapter Summary第37-38页
Chapter 2 User Generated Content and its Impact on Trust and Purchasing Decision第38-57页
    User Generated Content第39-46页
        User Generated vs. Expert Provided Information第42页
        UGC Benefits第42-43页
        The Key Factors Behind the Boom in UGC第43-46页
    UGC Impact on Users Trust and Purchasing Decision第46-50页
        Trust and UGC第46-49页
        Purchasing Decision and UGC第49-50页
    User Generated Content Sources第50-56页
        Reviews Websites第51-52页
        Blogs第52-53页
        Forums第53-54页
        Wikis第54-55页
        Social Networking Services SNS第55-56页
    Chapter Summary第56-57页
Chapter 3 Opinion Mining and Summarization第57-79页
    Opinion Mining第57-61页
        Opinion Definition第58-59页
        Opinion Mining Definition第59-60页
        Opinion Polarity and Subjectivity第60-61页
        Opinion Classification第61页
    Types of Opinions第61-63页
        Regular and Comparative Opinions第62-63页
        Explicit and Implicit Opinions第63页
    Sentiment Analysis Levels第63-65页
        Document Level第63-64页
        Sentence Level第64页
        Aspect (Feature, Entity) Level第64-65页
    Sentiment Analysis Features and Tasks第65-67页
        Sentiment Analysis Features第65-66页
        Sentiment Analysis Tasks第66-67页
    Sentiment Classification Approaches Analysis第67-75页
        Sentiment Classification Approaches第68-74页
        Approaches Analysis第74-75页
    Opinion Summarization and Evaluation第75-78页
        Opinion Summarization第75-77页
        Evaluation of Sentiment Classification第77-78页
    Chapter Summary第78-79页
Chapter 4 Product Search Engine and Ranking System第79-97页
    Product Search Engine第79-88页
        Information Retrieval vs. Web Search vs. Opinion Search第79-82页
        Product Search Engine vs. Information Search Engine第82页
        Introduction to Search Engine第82-86页
        Introduction to Recommender System第86-88页
    Online Shopping Engines第88-90页
        Comparison Shopping Engines (CSE’s)第88-89页
        Discovery Shopping Search Engine第89-90页
    Ranking Systems Main Components第90-96页
        Ranking Algorithm第91-94页
        Ranking Factors第94-96页
    Search Engine Optimization SEO第96页
    Chapter Summary第96-97页
Chapter 5 Development of Product Search Engine Based on Chinese Reviews第97-117页
    System Architecture第97页
    Stanford Typed Dependencies第97-108页
        Chinese vs. English Typed Dependencies第98-101页
        Stanford Parser第101-103页
        Phrase Structure and Dependency Structure第103-105页
        An Overview of the Penn Chinese Treebank第105-108页
    Product Features Extraction第108-114页
    Product Features Scoring第114-115页
    Product Ranking第115-116页
    Chapter Summary第116-117页
Chapter 6 The Implementation and the Evaluation of the Proposed System第117-144页
    Data Collection and Indexing第117-119页
    Search Query Analysis and Results Listing第119-120页
    View Product Features Summarization第120-123页
    Empirical Example第123-140页
    Evaluation第140-142页
        Evaluation of Feature Extraction第140-141页
        Evaluation of the Ranking Results第141-142页
        Evaluation of Summarization第142页
    Chapter Summary第142-144页
Chapter 7 Conclusion, Creative Points and Feature Research第144-150页
    Conclusion第144-148页
    Creative Points第148-149页
    Limitations and Future Research第149-150页
References第150-165页
Appendix 1: Parsing Server Source Code第165-171页
Publication第171-172页
Acknowledgement第172页

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