Introduction to Information Retrieval South Asian Edition

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9781107666399: Introduction to Information Retrieval South Asian Edition

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Raghavan
Published by Cambridge India (2005)
ISBN 10: 1107666392 ISBN 13: 9781107666399
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Book Description Cambridge India, 2005. Soft cover. Book Condition: New. International Edition. Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition. International Edition. Bookseller Inventory # 379654

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Raghavan
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Book Description Paperback. Book Condition: New. Brand New, Same ISBN and details as listed. Delivery within 3-7 business days. We may ship the books from multiple location across the globe including Asia depending upon the availability of inventory. Printed in English. Choose expedited shipping for Express delivery. Tracking number provided for every order. Bookseller Inventory # RO_9781107666399

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Raghavan
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Book Description Cambridge University Press. Book Condition: New. 1107666392 Brand New, Choose Expedited shipping for GUARANTEED delivery within 4-5 business days. Standard Delivery within 6-14 business days. We may not ship to PO Box, APO , FPO Address, please contact us. Customer satisfaction guaranteed. Bookseller Inventory # NO_9781107666399

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Raghavan
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Book Description Cambridge University Press. Paper back. Book Condition: New. Bookseller Inventory # 450253

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Raghavan
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Book Description Cambridge University Press. Paperback. Book Condition: New. Bookseller Inventory # CUP-9781107666399

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Raghavan
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Christopher D. Manning,Hinrich Schutze,Prabhakar Raghavan
Published by Cambridge University Press (2014)
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Book Description Cambridge University Press, 2014. Softcover. Book Condition: New. 5th or later edition. Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book`s supporting website to help course instructors prepare their lectures. Contents 1. Information retrieval using the Boolean model 2. The dictionary and postings lists 3. Tolerant retrieval 4. Index construction 5. Index compression 6. Scoring and term weighting 7. Vector space retrieval 8. Evaluation in information retrieval 9. Relevance feedback and query expansion 10. XML retrieval 11. Probabilistic information retrieval 12. Language models for information retrieval 13. Text classification and Naive Bayes 14. Vector space classification 15. Support vector machines and kernel functions 16. Flat clustering 17. Hierarchical clustering 18. Dimensionality reduction and latent semantic indexing 19. Web search basics 20. Web crawling and indexes 21. Link analysis. Printed Pages: 503. Bookseller Inventory # 50371

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Christopher D. Manning,Hinrich Schutze,Prabhakar Raghavan
Published by Cambridge University Press (2014)
ISBN 10: 1107666392 ISBN 13: 9781107666399
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A - Z Books
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Book Description Cambridge University Press, 2014. Softcover. Book Condition: New. 5th or later edition. Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book`s supporting website to help course instructors prepare their lectures. Contents 1. Information retrieval using the Boolean model 2. The dictionary and postings lists 3. Tolerant retrieval 4. Index construction 5. Index compression 6. Scoring and term weighting 7. Vector space retrieval 8. Evaluation in information retrieval 9. Relevance feedback and query expansion 10. XML retrieval 11. Probabilistic information retrieval 12. Language models for information retrieval 13. Text classification and Naive Bayes 14. Vector space classification 15. Support vector machines and kernel functions 16. Flat clustering 17. Hierarchical clustering 18. Dimensionality reduction and latent semantic indexing 19. Web search basics 20. Web crawling and indexes 21. Link analysis. Printed Pages: 503. Bookseller Inventory # 50371

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Raghavan
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Book Description Paper Back. Book Condition: New. Verify ISBN for International Edition; year of publication 2012 1107666392. Bookseller Inventory # 282313

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