-
Manning, C.D.; Raghavan, P.; Schütze, H.: Introduction to information retrieval (2008)
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- Content
- Inhalt: Boolean retrieval - The term vocabulary & postings lists - Dictionaries and tolerant retrieval - Index construction - Index compression - Scoring, term weighting & the vector space model - Computing scores in a complete search system - Evaluation in information retrieval - Relevance feedback & query expansion - XML retrieval - Probabilistic information retrieval - Language models for information retrieval - Text classification & Naive Bayes - Vector space classification - Support vector machines & machine learning on documents - Flat clustering - Hierarchical clustering - Matrix decompositions & latent semantic indexing - Web search basics - Web crawling and indexes - Link analysis Vgl. die digitale Fassung unter: http://nlp.stanford.edu/IR-book/pdf/irbookprint.pdf.
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Berry, M.W.; Browne, M.: Understanding search engines : mathematical modeling and text retrieval (2005)
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- Content
- Inhalt: Introduction Document File Preparation - Manual Indexing - Information Extraction - Vector Space Modeling - Matrix Decompositions - Query Representations - Ranking and Relevance Feedback - Searching by Link Structure - User Interface - Book Format Document File Preparation Document Purification and Analysis - Text Formatting - Validation - Manual Indexing - Automatic Indexing - Item Normalization - Inverted File Structures - Document File - Dictionary List - Inversion List - Other File Structures Vector Space Models Construction - Term-by-Document Matrices - Simple Query Matching - Design Issues - Term Weighting - Sparse Matrix Storage - Low-Rank Approximations Matrix Decompositions QR Factorization - Singular Value Decomposition - Low-Rank Approximations - Query Matching - Software - Semidiscrete Decomposition - Updating Techniques Query Management Query Binding - Types of Queries - Boolean Queries - Natural Language Queries - Thesaurus Queries - Fuzzy Queries - Term Searches - Probabilistic Queries Ranking and Relevance Feedback Performance Evaluation - Precision - Recall - Average Precision - Genetic Algorithms - Relevance Feedback Searching by Link Structure HITS Method - HITS Implementation - HITS Summary - PageRank Method - PageRank Adjustments - PageRank Implementation - PageRank Summary User Interface Considerations General Guidelines - Search Engine Interfaces - Form Fill-in - Display Considerations - Progress Indication - No Penalties for Error - Results - Test and Retest - Final Considerations Further Reading
- LCSH
- Vector spaces
- Subject
- Vector spaces
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Berry, M.W.; Browne, M.: Understanding search engines : mathematical modeling and text retrieval (1999)
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- LCSH
- Vector spaces
- Subject
- Vector spaces
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Rijsbergen, K. van: ¬The geometry of information retrieval (2004)
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- Content
- Inhalt: 1. Introduction; 2. On sets and kinds for IR; 3. Vector and Hilbert spaces; 4. Linear transformations, operators and matrices; 5. Conditional logic in IR; 6. The geometry of IR.
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Anderson, J.D.; Perez-Carballo, J.: Information retrieval design : principles and options for information description, organization, display, and access in information retrieval databases, digital libraries, catalogs, and indexes (2005)
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- Content
- Inhalt: Chapters 2 to 5: Scopes, Domains, and Display Media (pp. 47-102) Chapters 6 to 8: Documents, Analysis, and Indexing (pp. 103-176) Chapters 9 to 10: Exhaustivity and Specificity (pp. 177-196) Chapters 11 to 13: Displayed/Nondisplayed Indexes, Syntax, and Vocabulary Management (pp. 197-364) Chapters 14 to 16: Surrogation, Locators, and Surrogate Displays (pp. 365-390) Chapters 17 and 18: Arrangement and Size of Displayed Indexes (pp. 391-446) Chapters 19 to 21: Search Interface, Record Format, and Full-Text Display (pp. 447-536) Chapter 22: Implementation and Evaluation (pp. 537-541)
- Footnote
- . . . Those interested in using the book to design IR databases can work through the chapters in the order provided and end up with a set of requirements for database design. The steps outlined in this book can be rearranged in numerous orders depending on the particular circumstances. This book would benefit from a discussion of what orders are appropriate for different circumstances and bow the requirements outlined interact. I come away from Information Retrieval Design with mixed, although mainly positive feelings. Even though the aims of this book are made clear from the outset, it was still a disappointment to see issues such as implementation and evaluation covered in only a cursory manner. The book is very well structured. well written, and operates in a part of the space that bas been neglected for too long. The authors whet my appetite with discussion of design, and I would have liked to have heard a bit more about what happens in requirements' elicitation before the design issues base been identified and to impIementation after they have been addressed. Overall, the book is a comprehensive review of previous research supplemented by the authors' views on IR design. This book focuses on breadth of coverage rather than depth of coverage and is therefore potentially of more use to novices in the field. The writing style is clear, and the authors knowledge of the subject area is undoubted. I wouId recommend this book to anyone who wants to learn about IR database design and take advantage of the experience and insights of Anderson, one of tile visionaries it the field."
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Huberman, B.: ¬The laws of the Web: : patterns in the ecology of information (2001)
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- Date
- 22.10.2006 10:22:33
-
Information science in transition (2009)
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- Date
- 22. 2.2013 11:35:35
