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Web Information Retrieval / by Stefano Ceri, Alessandro Bozzon, Marco Brambilla, Emanuele Della Valle, Piero Fraternali, Silvia Quarteroni.

SpringerLink Books Computer Science (2011-2024) Available online

SpringerLink Books Computer Science (2011-2024)
Format:
Book
Author/Creator:
Ceri, Stefano, 1955- author.
Bozzon, Alessandro, author.
Brambilla, Marco, author.
Della Valle, Emanuele, author.
Fraternali, Piero, author.
Quarteroni, Silvia, author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Data-centric systems and applications 2197-9723
Data-Centric Systems and Applications, 2197-9723
Language:
English
Subjects (All):
Information storage and retrieval.
Artificial intelligence.
Mathematical statistics.
Electronic commerce.
Information Storage and Retrieval.
Artificial Intelligence.
Probability and Statistics in Computer Science.
e-Commerce/e-business.
Local Subjects:
Information Storage and Retrieval.
Artificial Intelligence.
Probability and Statistics in Computer Science.
e-Commerce/e-business.
Physical Description:
1 online resource (XIV, 284 pages).
Edition:
First edition 2013.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
System Details:
text file PDF
Summary:
With the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications. Ceri and his co-authors aim at taking their readers from the foundations of modern information retrieval to the most advanced challenges of Web IR. To this end, their book is divided into three parts. The first part addresses the principles of IR and provides a systematic and compact description of basic information retrieval techniques (including binary, vector space and probabilistic models as well as natural language search processing) before focusing on its application to the Web. Part two addresses the foundational aspects of Web IR by discussing the general architecture of search engines (with a focus on the crawling and indexing processes), describing link analysis methods (specifically Page Rank and HITS), addressing recommendation and diversification, and finally presenting advertising in search (the main source of revenues for search engines). The third and final part describes advanced aspects of Web search, each chapter providing a self-contained, up-to-date survey on current Web research directions. Topics in this part include meta-search and multi-domain search, semantic search, search in the context of multimedia data, and crowd search. The book is ideally suited to courses on information retrieval, as it covers all Web-independent foundational aspects. Its presentation is self-contained and does not require prior background knowledge. It can also be used in the context of classic courses on data management, allowing the instructor to cover both structured and unstructured data in various formats. Its classroom use is facilitated by a set of slides, which can be downloaded from www.search-computing.org.
Contents:
Part I Principles of Information Retrieval
An Introduction to Information Retrieval
The Information Retrieval Process
Information Retrieval Models
Classification and Clustering
Natural Language Processing for Search
Part II Information Retrieval for the Web
Search Engines
Link Analysis
Recommendation and Diversification for the Web
Advertising in Search
Part III Advanced Aspects of Web Search
Publishing Data on the Web
Meta-Search and Multi-Domain Search
Semantic Search
Multimedia Search
Search Process and Interfaces
Human Computation and Crowd Search.
Other Format:
Printed edition:
ISBN:
978-3-642-39314-3
9783642393143
Access Restriction:
Restricted for use by site license.

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