Intelligent Information Access (Paperback, 2010 ed.)

Intelligent Information Access techniques attempt to overcome the limi- tions of current search devices by providing personalized information items and product/service recommendations. They normally utilize direct or in- rect user input and facilitate the information search and decision processes, according to user needs, preferences and usage patterns. Recent devel- ments at the intersection of Information Retrieval, Information Filtering, MachineLearning,UserModelling,NaturalLanguageProcessingandHuman- Computer Interaction o?er novel solutions that empower users to go beyond single-sessionlookuptasksandthataimatservingthemorecomplexrequi- ment: "Tell me what I don't know that I need to know". Information?ltering systems,speci?callyrecommendersystems,havebeenrevolutionizingtheway information seekers?nd what they want, becausethey e?ectively prune large informationspacesandhelpusersinselectingitemsthatbestmeettheirneeds and preferences. Recommender systems rely strongly on the use of various machine learning tools and algorithms for learning how to rank, or predict user evaluation, of items. Information Retrieval systems, on the other hand, also attempt to address similar ?ltering and ranking problems for pieces of information such as links, pages, and documents. But they generally focus on the development of global retrieval techniques, often neglecting individual user needs and preferences. The book aims to investigate current developments and new insights into methods, techniques and technologies for intelligent information access from a multidisciplinary perspective. It comprises six chapters authored by part- ipants in the research event Intelligent Information Access,heldinCagliari (Italy) in December 2008.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Computational Intelligence, 301
Release date:	September 2012
First published:	2010
Editors:	Giuliano Armano • Marco de Gemmis • Giovanni Semeraro
Dimensions:	235 x 155 x 10mm (L x W x T)
Format:	Paperback
Pages:	138
Edition:	2010 ed.
ISBN-13:	978-3-642-26387-3
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-642-26387-9
Barcode:	9783642263873

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