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(More customer reviews)If you're working in the IR industry, or want to develop software in this field, this book is a great starting point. A clarification: this will is not a book for researchers -- instead think of it as a book for advanced practitioners or engineers needing to work in this area. Inside you'll see complete worked examples of several fundamental computations rather than detailed proofs.
Click Here to see more reviews about: Information Retrieval: Algorithms and Heuristics (The Springer International Series in Engineering and Computer Science)
Information Retrieval: Algorithms and Heuristics is acomprehensive introduction to the study of information retrievalcovering both effectiveness and run-time performance. The focus of thepresentation is on algorithms and heuristics used to find documentsrelevant to the user request and to find them fast. Through multipleexamples, the most commonly used algorithms and heuristics needed aretackled. To facilitate understanding and applications, introductionsto and discussions of computational linguistics, natural languageprocessing, probability theory and library and computer science areprovided. While this text focuses on algorithms and not on commercialproduct per se, the basic strategies used by many commercial productsare described. Techniques that can be used to find information on theWeb, as well as in other large information collections, are included.This volume is an invaluable resource for researchers, practitioners,and students working in information retrieval and databases. Forinstructors, a set of Powerpoint slides, including speaker notes, areavailable online from the authors.
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