£109.96

Springer Knowledge-Based Information Retrieval and Filtering

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Description

Explore the complexities of digital data management with Knowledge-Based Information Retrieval and Filtering from the Web. Published by Springer as part of the International Series in Engineering and Computer Science, this volume provides a deep look into how information is organized and accessed on the Internet. This book brings together fifteen chapters written by leading international researchers to address the modern challenges of the web. It covers essential topics such as describing internet information, understanding consumer needs, and developing algorithms for document retrieval. By focusing on both the retrieval of documents and the information embedded within them, this text serves as a comprehensive resource for those studying the mechanics of information presentation and management in a digital landscape.

Key Features

Comprehensive research covering fifteen chapters contributed by leading international experts in the field.

Detailed analysis of information retrieval, filtering, and management techniques specifically for the Internet.

Focuses on effective methods for describing both available web information and specific consumer needs.

Explores advanced algorithms designed for retrieving documents and the embedded information they contain.

Part of the Springer International Series in Engineering and Computer Science for academic depth.

Product Specifications

Format
Paperback
Domain
Amazon UK
Release Date
06 December 2010
Listed Since
06 July 2010

Barcode

No barcode data available

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