MARC record from Internet Archive

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024 7 $a10.1007/978-3-642-39314-3$2doi
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245 00 $aWeb information retrieval /$cStefano Ceri, Alessandro Bozzon, Marco Brambilla, Emanuele Della Valle, Piero Fraternali, Silvia Quarteroni.
264 1 $aHeidelberg :$bSpringer,$c2013.
300 $a1 online resource (xiv, 284 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file
347 $bPDF
490 1 $aData-centric systems and applications
505 00 $gPart I.$tPrinciples of Information Retrieval.$tAn Introduction to Information Retrieval --$tThe Information Retrieval Process --$tInformation Retrieval Models --$tClassification and Clustering --$gPart II$tNatural Language Processing for Search.$tInformation Retrieval for the Web --$tSearch Engines --$tLink Analysis --$tRecommendation and Diversification for the Web --$tAdvertising in Search --$gPart III.$tAdvanced Aspects of Web Search.$tPublishing Data on the Web --$tMeta-search and Multi-domain Search --$tSemantic Search --$tMultimedia Search --$tSearch Process and Interfaces --$tHuman Computation and Crowdsearching.
504 $aIncludes bibliographical references and index.
588 0 $aOnline resource; title from PDF title page (SpringerLink, viewed September 3, 2013).
520 $aWith 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.
546 $aEnglish.
650 0 $aInformation retrieval.
650 0 $aWorld Wide Web.
650 2 $aInternet
650 2 $aInformation Storage and Retrieval
650 6 $aRecherche de l'information.
650 6 $aWeb.
650 7 $ainformation retrieval.$2aat
650 7 $aWorld Wide Web.$2aat
650 7 $aInformation retrieval.$2fast$0(OCoLC)fst00972619
650 7 $aWorld Wide Web.$2fast$0(OCoLC)fst01181326
655 0 $aElectronic books.
655 4 $aElectronic books.
655 4 $aEbook.
700 1 $aCeri, Stefano,$d1955-$eauthor.
773 0 $tSpringer eBooks
776 08 $iPrinted edition:$z9783642393136
830 0 $aData-centric systems and applications.
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