Information Retrieval: Implementing and Evaluating Search Engines (MIT Press)


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Actions Shares. Embeds 0 No embeds. No notes for slide. Description this book Information retrieval is the foundation for modern search engines. This textbook offers an introduction to the core topics underlying modern search technologies, including algorithms, data structures, indexing, retrieval, and evaluation. The emphasis is on implementation and experimentation; each chapter includes exercises and suggestions for student projects.

Wumpus -- a multiuser open-source information retrieval system developed by one of the authors and available online -- provides model implementations and a basis for student work.

Information Retrieval: Implementing and Evaluating Search Engines

The modular structure of the book allows instructors to use it in a variety of graduate-level courses, including courses taught from a database systems perspective, traditional information retrieval courses with a focus on IR theory, and courses covering the basics of Web retrieval. In addition to its classroom use, Information Retrieval will be a valuable reference for professionals in computer science, computer engineering, and software engineering.

Information retrieval is the foundation for modern search engines. If you want to download this book, click link in the last page 5.

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Visibility Others can see my Clipboard. Skip to content Skip to search. Clarke, Gordon V.


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Published Cambridge, Mass. Language English View all editions Prev Next edition 1 of 2. Other Authors Clarke, Charles L. Subjects Search engines -- Programming. Information retrieval. Summary Information retrieval is the foundation for modern search engines.

Old IR literature

This textbook offers an introduction to the core topics underlying modern search tehnologies, including algorithms, data structures, indexing, retrieval, and evaluation. The emphasis is on implementation and experimentation; each chapter includes exercises and suggestions for student projects.


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Wumpus-a multiuser open-source information retrieval system developed by one of the authors and available onlineprovides model implementations and a basis for student work. The modular structure of the book allows instructors to use it in a variety of graduate level courses, Including courses taught from a database systems perspective traditional information retrieval courses with a focus on IR theory, and courses covering the basics of Web retrieval.

The final part of the book draws on and extends the general material in the earlier parts, treating such specific applications as parallel search engines, Web search, and XML retrieval. End-of-chapter references point to further reading; exercises range from pencil-and-paper problems to substantial programming projects, in addition to its classroom use, information Retrieval, will be a valuable reference for professionals in computer science, computer engineering, and software engineering.

Contents Introduction Basic techniques Tokens and terms Static inverted indices Query processing Index compression Dynamic inverted indices Probabilistic retrieval Language modeling and related methods Categorization and filtering Fusion and metalearning Measuring effectiveness Measuring efficiency Parallel information retrieval Web search XML retrieval Appendix.

Notes Formerly CIP. Includes bibliographical references and index. View online Borrow Buy Freely available Show 0 more links Set up My libraries How do I set up "My libraries"? Wagga Wagga Campus Library.

Open to the public ; Eddie Koiki Mabo Library. Monash University Library.

Citation Styles for "Information retrieval : implementing and evaluating search engines"

Gardens Point Campus Library. University of Queensland Library. Open to the public ; TK University of Sydney Library. University Library. Open to the public.

Information Retrieval: Implementing and Evaluating Search Engines (MIT Press) Information Retrieval: Implementing and Evaluating Search Engines (MIT Press)
Information Retrieval: Implementing and Evaluating Search Engines (MIT Press) Information Retrieval: Implementing and Evaluating Search Engines (MIT Press)
Information Retrieval: Implementing and Evaluating Search Engines (MIT Press) Information Retrieval: Implementing and Evaluating Search Engines (MIT Press)
Information Retrieval: Implementing and Evaluating Search Engines (MIT Press) Information Retrieval: Implementing and Evaluating Search Engines (MIT Press)
Information Retrieval: Implementing and Evaluating Search Engines (MIT Press) Information Retrieval: Implementing and Evaluating Search Engines (MIT Press)
Information Retrieval: Implementing and Evaluating Search Engines (MIT Press) Information Retrieval: Implementing and Evaluating Search Engines (MIT Press)
Information Retrieval: Implementing and Evaluating Search Engines (MIT Press) Information Retrieval: Implementing and Evaluating Search Engines (MIT Press)
Information Retrieval: Implementing and Evaluating Search Engines (MIT Press) Information Retrieval: Implementing and Evaluating Search Engines (MIT Press)
Information Retrieval: Implementing and Evaluating Search Engines (MIT Press)

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