Introduction to information retrieval

Medientyp: Buch

Titel: Introduction to information retrieval

Enthält: Boolean retrieval -- The term vocabulary and postings lists -- Dictionaries and tolerant retrieval -- Index construction -- Index compression -- Scoring, term weighting, and the vector space model -- Computing scores in a complete search system -- Evaluation in information retrieval -- Relevance feedback and query expansion -- XML retrieval -- Probabilistic information retrieval -- Language models for information retrieval -- Text classification and Naive Bayes -- Vector space classification -- Support vector machines and machine learning on documents -- Flat clustering -- Hierarchical clustering -- Matrix decompositions and latent semantic indexing -- Web search basics -- Web crawling and indexes -- Link analysis.

Beteiligte: Manning, Christopher D. [VerfasserIn]; Raghavan, Prabhakar [VerfasserIn]; Schütze, Hinrich [VerfasserIn]

Erschienen: Cambridge; New York: Cambridge University Press, 2008

Umfang: xxi, 482 Seiten; Illustrationen, Diagramme; 27 cm

Sprache: Englisch

ISBN: 0521865719; 9780521865715

RVK-Notation: ST 270 : Datenbanken, Datenbanksysteme, Data base management, Informationssysteme. Allgemein
AN 95000 : Bibliografische Erfassung, Suchpraxis

Schlagwörter: Dokumentverarbeitung > Information Retrieval > Abfrageverarbeitung
Information Retrieval

Entstehung:

Anmerkungen: Literaturverzeichnis: Seiten 441-468
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Beschreibung: "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." -- Publisher's description

"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." -- Publisher's description

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