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.
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Written from a multidisciplinary perspective, Intelligent Information Access investigates new insights into methods, techniques and technologies for intelligent information access. The chapters are written by participants in the Intelligent Information Access meeting, held in Cagliari, Italy, in December 2008.
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Enhancing Conversational Access to Information through a Socially Intelligent Agent.- Annotating and Identifying Emotions in Text.- Improving Ranking by Respecting the Multidimensionality and Uncertainty of User Preferences.- Data Mining on Folksonomies.- A Uniform Theoretic Approach to Opinion and Information Retrieval.- A Suite of Semantic Web Tools Supporting Development of Multilingual Ontologies.
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Intelligent Information Access techniques attempt to overcome the limitations of
current search devices by providing personalized information items and product/
service recommendations. They normally utilize direct or indirect user input and
facilitate the information search and decision processes, according to user needs,
preferences and usage patterns. Recent developments at the intersection of Information
Retrieval, Information Filtering, Machine Learning, User Modelling, Natural
Language Processing and Human-Computer Interaction offer novel solutions that
empower users to go beyond single-session lookup tasks and that aim at serving
the more complex requirement: “Tell me what I don’t know that I need to know”.
Information filtering systems, specifically recommender systems, have been revolutionizing
the way information seekers find what they want, because they effectively
prune large information spaces and help users in selecting items that best meet their
needs 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 filtering 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 participants in the
research event Intelligent Information Access, held in Cagliari (Italy) in December
2008.
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Recent research on Intelligent Information Access State-of-the-art book Writteny by leading experts in this field
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Produktdetaljer
ISBN
9783642139994
Publisert
2010-06-23
Utgiver
Vendor
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet