Instructors: Kenneth W T Leung +1 more

Skills you'll gain

  •   Applied Machine Learning
  •   Query Languages
  •   Network Analysis
  •   Algorithms
  •   AI Personalization
  •   Information Architecture
  •   Text Mining
  •   Data Structures
  •   Semantic Web
  •   Web Analytics and SEO
  •   User Research
  •   Graph Theory
  •   Business Modeling
  •   Natural Language Processing
  •   Performance Testing
  • There are 16 modules in this course

    This course introduces the technologies behind web and search engines, including document indexing, searching and ranking. You will also learn different performance metrics for evaluating search quality, methods for understanding user intent and document semantics, and advanced applications including recommendation systems and summarization. Real-life examples and case studies are provided to reinforce the understanding of search algorithms.

    Search Engine Business Model

    TFxIDF

    Vector Space Model

    Inverted Files

    Extended Boolean Model

    PageRank

    HITS Algorithm

    Performance Evaluation of Information Retrieval System

    Benchmarking

    Stopword removal and Stemming

    Relevance Feedback

    Personalized Web Search

    Index Term Selection

    Discovering Phrases and Correlated Terms

    Enterprise Search Engine

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