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- Title: Introduction to Information Retrieval
- Author(s) Christopher D. Manning, Prabhakar Raghavan, H. Schutze
- Publisher: Cambridge University Press; 1 edition (July 7, 2008), eBook (2009 Edition)
- Hardcover: 496 pages
- eBook: HTML and PDF
- Language: English
- ISBN-10: 0521865719
- ISBN-13: 978-0521865715
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This is the first book that gives you a complete picture of the complications that arise in building a modern web-scale search engine. You'll learn about ranking SVMs, XML, DNS, and LSI. You'll discover the seedy underworld of spam, cloaking, and doorway pages.
Coherent and up-to-date, this textbook for advanced undergraduate and beginning graduate students in computer science covers 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
About the Author(s)- Christopher Manning is an Associate Professor of Computer Science and Linguistics at Stanford University.
- Information Retrieval (IR) and Search Engines
- Data Analysis and Data Mining
- Algorithms and Data Structures
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Modern Information Retrieval: The Technology Behind Search
This book provides treatment of information retrieval including extensive coverage of new topics such as web retrieval, web crawling, open source search engines and user interfaces.
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Invisible Search and Online Search Engines (Jutta Haider, et al)
This book is the first book to approach search and search engines from a perspective that combines insights from the technical expertise of information science research with a social science and humanities approach.
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Search Engines: Information Retrieval in Practice
Written by a leader in the field of information retrieval, it is designed to give students the understanding and tools they need to evaluate, compare and modify search engines. It is also a valuable tool for search engine and information retrieval professionals.
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Entity-Oriented Search (Krisztian Balog)
This open access book covers all facets of entity-oriented search - where "search" can be interpreted in the broadest sense of information access - from a unified point of view, and provides a coherent and comprehensive overview of the state of the art.
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Mathematics for Classical Information Retrieval: Roots and Apps
This book is about Information Retrieval (IR), particularly Classical Information Retrieval (CIR). The primary goal of book is to create a context for understanding the principles of CIR by discussing its mathematical bases.
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Information Retrieval Interaction (Peter Ingwersen)
The aims of the book are to establish a unifying scientific approach to IR - a synthesis based on the concept of IR interaction and the Cognitive Viewpoint, and to generate a consolidated framework - the Mediator Model.
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Engines of Order: A Mechanology of Algorithmic Techniques
This book examines the constructive and cumulative character of software and retraces the historical trajectories of a series of algorithmic techniques that have become the building blocks for contemporary practices of ordering.
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O'Reilly® Elasticsearch: The Definitive Guide (Clinton Gormley)
This practical guide not only shows you how to search, analyze, and explore data with Elasticsearch, but also helps you deal with the complexities of human language, geolocation, and relationships.
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Information Retrieval: Uncertainty and Logics (C. J. van Rijsbergen)
This book contains a collection of exciting papers proposing, developing and implementing logical Information Retrieval (IR) models. This book is appropriate for use as a text for a graduate-level course on Information Retrieval or Database Systems.
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Information Retrieval: A Survey (Ed Greengrass)
This book is a tutorial and survey of the state of the art, both research and commercial, in the dynamic field of Information Retrieval. Topics: formulation of structured and unstructured queries and topic statements, indexing of document collections, etc.
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Introduction to Metadata: 3rd Edition (Murtha Baca, et al)
Provides an overview of Metadata - its types, roles, and characteristics; a discussion of metadata as it relates to resources on the Web; a description of methods, tools, standards, and protocols that can be used to publish and disseminate digital collections;
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Describing Data Patterns: A Deconstruction of Metadata Standards
It analyzes the methods, technologies, standards, and languages to structure and describe data in their entirety. It reveals common features, hidden assumptions, and ubiquitous patterns among these methods and shows how data are actually structured and described.
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