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Search Engines for Web and Enterprise Data · LearnSpace
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Search Engines for Web and Enterprise Data

Курс от The Hong Kong University of Science and Technology
Средний≈ 30 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

AlgorithmsAI PersonalizationBusiness ModelingVector DatabasesDocument ManagementModel EvaluationStatistical MethodsWeb Analytics and SEOSemantic WebNatural Language ProcessingText MiningUser Research

Программа курса

16 модулей · 79 учебных материалов

01Introduction to Search Engines for Web and Enterprise Data4 материалов

L01 - Introduction to Search Engines for Web and Enterprise Data

Lecture 1.1 - Example of Search Engines & Federated vs Meta SearchВидеоLecture 1.2 - Difficulties & Document Retrieval Model & Evolution of Search EnginesВидеоIntroduction to Search Engines for Web and Enterprise DataЧтение

Учитесь у экспертов

Kenneth Wai-Ting Leung

Associate Professor of Engineering Education

Dik Lun LEE

Professor

Search Engines for Web and Enterprise Data
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Обучение на Coursera

≈ 30 ч

16 модулей

Язык: Английский

Часть программы вашего университета
Lecture 1 - Introduction to Search Engines for Web and Enterprise DataЗадание
02Search Engine Business Model4 материалов

L02 - Search Engine Business Model

Lecture 2.1 - Search Engine Business Model & Keyword AdvertisingВидеоLecture 2.2 - Search Engine Related Jobs & Charging Methods & Business HistoryВидеоLecture 2 - Search Engine Business ModelЧтениеLecture 2 - Search Engine Business ModelЗадание
03TFxIDF4 материалов

L03 - TFxIDF

Lecture 3.1 - Retrieval ModelsВидеоLecture 3.2 - TFxIDFВидеоLecture 3- TFxIDFЧтениеLecture 3 - TFxIDFЗадание
04Vector Space Model6 материалов

L04 - Vector Space Model

Lecture 4.1 - Vector Space Model & SimilarityВидеоLecture 4.2 - Interesting Things We Can Do in VSMВидеоLecture 4.3 - Choices of Similarity Measures & Query Term WeightВидеоLecture 4.4 - Term Independence Assumption & Synonyms & Unbalanced Property of VSMВидеоLecture 4 - Vector Space ModelЧтениеLecture 4 - Vector Space ModelЗадание
05Inverted Files6 материалов

L05 - Inverted Files

Lecture 5.1 - Keyword Index & Postings ListВидеоLecture 5.2 - Pros and Cons & ExtensionsВидеоLecture 5.3 - Insertion, Deletion and UpdateВидеоLecture 5.4 - Scalability Issues and Possible SolutionsВидеоLecture 5- Inverted FilesЧтениеLecture 5 - Inverted FilesЗадание
06Extended Boolean Model4 материалов

L06 - Extended Boolean Model

Lecture 6.1 - Soft Operators and ObservationsВидеоLecture 6.2 - Soft Operator Visualization & P-norm ModelВидеоLecture 6 - Extended Boolean ModelЧтениеLecture 6 - Extended Boolean ModelЗадание
07PageRank5 материалов

L07 - PageRank

Lecture 7.1 - HyPursuit and WISEВидеоLecture 7.2 - PageRankВидеоLecture 7.3 - Other aspects / Applications of PageRankВидеоLecture 7 - PageRankЧтениеLecture 7 - PageRankЗадание
08HITS Algorithm6 материалов

L08 - HITS Algorithm

Lecture 8.1 - HITS AlgorithmВидеоLecture 8.2 - Convergence and Normalization of HITSВидеоLecture 8.3 - Integrating PR and HITS in Search EnginesВидеоLecture 8.4 - Observations of HITS and PRВидеоLecture 8 - HITS AlgorithmЧтениеLecture 8 - HITS AlgorithmЗадание
09Performance Evaluation of Information Retrieval System5 материалов

L09 - Performance Evaluation of IR System

Lecture 9.1 - Explicit Evaluation & Recall, Precision, and FalloutВидеоLecture 9.2 - Handling Inconsistency & Finding Relevant Items & Plotting GraphsВидеоLecture 9.3 - More Performance MeasuresВидеоLecture 9 - Performance Evaluation of IR SystemЧтениеLecture 9 - Performance Evaluation of IR SystemЗадание
10Benchmarking3 материалов

L10 - Benchmarking

Lecture 10 - BenchmarkingВидеоLecture 10 - BenchmarkingЧтениеLecture 10 - BenchmarkingЗадание
11Stopword removal and Stemming6 материалов

L11 - Stopword removal and Stemming

Lecture 11.1 - Indexing Process OverviewВидеоLecture 11.2 - Stemming Overview & Affix removal AlgorithmsВидеоLecture 11.3 - Corpora Based Statistical StemmingВидеоLecture 11.4 - Purpose of Obtaining the Stem of a WordВидеоLecture 11 - Stopword Removal and StemmingЧтениеLecture 11 - Stopword Removal and StemmingЗадание
12Relevance Feedback5 материалов

L12 - Relevance Feedback

Lecture 12.1 - Overview & Manual vs Automatic Feedback & Implicit vs Explicit FeedbackВидеоLecture 12.2 - Query ModificationВидеоLecture 12.3 - Document ModificationВидеоLecture 12 - Relevance FeedbackЧтениеLecture 12 - Relevance FeedbackЗадание
13Personalized Web Search6 материалов

L13 - Personalized Web Search

Lecture 13.1 - Overview of Personalized Web SearchВидеоLecture 13.2 - Eye-tracking Experiment & Clickthrough AnalysisВидеоLecture 13.3 - Preference Mining StrategiesВидеоLecture 13.4 - Apply User Preferences to RankingВидеоLecture 13 - Personalized Web SearchЧтениеLecture 13 - Personalized Web SearchЗадание
14Index Term Selection5 материалов

L14 - Index Term Selection

Lecture 14.1 - Zipf’s LawВидеоLecture 14.2 - Term Discrimination ValuesВидеоLecture 14.3 - Term Discrimination Value vs Document Frequency & Applying DV in Term SelectionВидеоLecture 14 - Index Term SelectionЧтениеLecture 14 - Index Term SelectionЗадание
15Discovering Phrases and Correlated Terms5 материалов

L15 - Discovering Phrases and Correlated Terms

Lecture 15.1 - N-gramВидеоLecture 15.2 - Collocation and Co-occurrenceВидеоLecture 15.3 - Pointwise Mutual InformationВидеоLecture 15 - Discovering Phrases and Correlated TermsЧтениеLecture 15 - Discovering Phrases and Correlated TermsЗадание
16Enterprise Search Engine5 материалов

L16 - Enterprise Search Engine

Lecture 16.1 - Enterprise Search and ChallengesВидеоLecture 16.2 - Enterprise Search EngineВидеоLecture 16.3 - Advanced Requirements of Enterprise SEВидеоLecture 16 - Enterprise Search EngineЧтениеLecture 16 - Enterprise Search EngineЗадание