Web Information Retrieval - Data-Centric Systems and Applications (Hardback)Stefano Ceri (author), Alessandro Bozzon (author), Marco Brambilla (author), Emanuele Della Valle (author), Piero Fraternali (author), Silvia Quarteroni (author)
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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.
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Number of pages: 284
Weight: 5738 g
Dimensions: 235 x 155 x 20 mm
Edition: 2013 ed.
From the reviews:
"The book covers not only a wide range, but everything that is essential to the topic of Web information retrieval. ... this book is an excellent starting point into the field of Web information retrieval, and can be recommended for classroom use." (Gottfried Vossen, zbMATH, Vol. 1283, 2014)
"... this book is a valuable resource for students and instructors in web IR, primarily as a reference to supplement course teaching. Researchers and practitioners should find the book a useful quick reference guide for key concepts, techniques, and recent trends in web IR." (Wingyan Chung, ACM Computing Reviews, July 2014)
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