06057nam 22008415 450 991043760440332120220510155005.03-642-39314-410.1007/978-3-642-39314-3(CKB)3710000000015873(EBL)1398305(SSID)ssj0000986845(PQKBManifestationID)11552506(PQKBTitleCode)TC0000986845(PQKBWorkID)10938300(PQKB)11790179(DE-He213)978-3-642-39314-3(MiAaPQ)EBC6315467(MiAaPQ)EBC1398305(Au-PeEL)EBL1398305(CaPaEBR)ebr10966180(OCoLC)857892865(PPN)172428068(EXLCZ)99371000000001587320130829d2013 u| 0engur|n|---|||||txtccrWeb Information Retrieval /by Stefano Ceri, Alessandro Bozzon, Marco Brambilla, Emanuele Della Valle, Piero Fraternali, Silvia Quarteroni1st ed. 2013.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2013.1 online resource (287 p.)Data-Centric Systems and Applications,2197-9723Description based upon print version of record.3-642-43118-6 3-642-39313-6 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.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.Data-Centric Systems and Applications,2197-9723Information organizationInformation retrievalArtificial intelligenceMathematical statisticsE-commerceInformation Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Probability and Statistics in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17036e-Commerce/e-businesshttps://scigraph.springernature.com/ontologies/product-market-codes/I26000Information organization.Information retrieval.Artificial intelligence.Mathematical statistics.E-commerce.Information Storage and Retrieval.Artificial Intelligence.Probability and Statistics in Computer Science.e-Commerce/e-business.025.04Ceri Stefanoauthttp://id.loc.gov/vocabulary/relators/aut3158Bozzon Alessandroauthttp://id.loc.gov/vocabulary/relators/autBrambilla Marcoauthttp://id.loc.gov/vocabulary/relators/autDella Valle Emanueleauthttp://id.loc.gov/vocabulary/relators/autFraternali Pieroauthttp://id.loc.gov/vocabulary/relators/autQuarteroni Silviaauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910437604403321Web Information Retrieval2544361UNINA