Information Retrieval, Search Engines, Search Engineers.
Architecture, Basic Building Blocks, Text Acquisition, Text Transformation IndexCreation, User Interaction, Ranking and Evaluation
Deciding what to search, Crawling the Web, Directory Crawling, Document Feeds,Conversion Problem, Storing the Documents, Detecting Duplicates, removes noise.
Text Statistics, Document Parsing, Document Structure and Markup, Link Analysis,Information Extraction, Internationalization
Abstract Model of Ranking, Inverted indexes, Compression, Entropy and Ambiguity, DeltaEncoding, Bit-aligned codes, Auxiliary Structures, Index Construction, Query Processing.
Information Needs and Queries ,Query Transformation and Refinement , Showing theResults Cross-Language Search.
Overview of Retrieval Models , Boolean Retrieval , The Vector Space Model, ProbabilisticModels, Information Retrieval as Classification, BM25 Ranking Algorithm, ComplexQueries and Combining Evidence, Web Search, Machine Learning and InformationRetrieval ,.
The Evaluation Corpus , Logging , Effectiveness Metrics, Recall and Precision Averaging andInterpolation , Efficiency Metrics, Training, Testing, and Statistics