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Personalized Information Retrieval and Access: Concepts, Methods and Practices (Premier Reference Source)
 
 
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Personalized Information Retrieval and Access: Concepts, Methods and Practices (Premier Reference Source) [Hardcover]

Rafael Andres Gonzalez Rivera (Author, Editor), Nong Chen (Editor), Ajantha Dahanayake (Editor)

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Book Description

Premier Reference Source April 4, 2008
Global information retrieval and anywhere, anytime information access has stimulated a need to design and model the personalized information search in a flexible and agile way that can use the specific personalization techniques, algorithms, and available technology infrastructure to satisfy high-level functional requirements for personalization.

Personalized Information Retrieval and Access: Concepts, Methods and Practices surveys the main concepts, methods, and practices of personalized information retrieval and access in todays data intensive, dynamic, and distributed environment, and provides students, researchers, and practitioners with authoritative coverage of recent technological advances that are shaping the future of globally distributed information retrieval and anywhere, anytime information access


Editorial Reviews

Review

"This book has emphasis placed on how the mobility of terminals, people, and services are affected by retrieval technologies." --Book News Inc. (June 2008)

"This book was of particular interest since nontext retrieval is stall an uncharted territory." --CHOICE (January 2009)

"[This book] covering cutting-edge issues/topics plus solutions in the environment of global information and retrieval and anywhere-anytime information access. It can help improve our understandings of the current challenges of ubiquitous computing." --Online Information Review, Vol. 33 No. 1 (2009)

About the Author

Rafael Andrés Gonzalez has been assistant professor in the areas of information systems and software engineering at Javeriana University, Bogotá, Colombia, in addition to acting as an IT consultant. He is currently a PhD student in the Technology, Policy and Management Faculty, Delft University of Technology, The Netherlands. His present research focuses on information systems for supporting coordination in the domain of crisis management. He holds a Systems Engineering degree from Javeriana University and an MSc in computer science from Delft University of Technology.

Nong Chen is a researcher at the Faculty of Technology, Police and Management, Delft University of Technology, The Netherlands. She received a BSc in industrial engineering from the School of Economy and Management, Beijing University of Technology, China. She received an MSc in technical informatics from the Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology. Her research interests are personalized information seeking and retrieval, system modeling and architecture, crisis response and management, geographic information systems, and location-based services.

Ajantha Dahanayake is a professor of information systems at the J. Whitney Bunting School of Business, Georgia College & State University, USA. She is also an associate professor of the Faculty of Technology, Police and Management, Delft University of Technology, The Netherlands. She previously served as an associate professor in the Department of Information Systems and Algorithms of the Faculty of Information Technology and Systems. She received a BSc and MSc in computer science from the University of Leiden and a PhD in information systems from Delft University of Technology. She has served in a number of Dutch research and academic institutions. Her research interests are distributed Web-enabled systems, CASE, methodology engineering, component-based development, and m-business. She was the research director of the research program, Building Blocks for Telematics Applications Development and Evaluation (BETADE).


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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
query context, evaluated quality dimension, personalized ontologies, single query session, service search criteria, user agent component, services using context, personalized information retrieval, transdisciplinary area, reminding service, derived metadata, query shifting, information personalization, personalization database, personalized information access, information management problems, defuzzification results, original metadata, data quality dimensions, collaborative filtering systems, ontology learning, metadata retrieval, semantic intent, extensional point, collaborative filtering algorithms
Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, New York, Learning Personalized Ontologies, Semantic Web, Artificial Intelligence, Exploring Information Management Problems, World Wide Web, Inherently Transdisciplinary Area, Personalized Content-Based Image Retrieval, Domain of Critical Incidents, The Netherlands, International Workshop, Role-Based Multi-Agent Systems, Expert Systems, Special Issue, San Francisco, Machine Learning, Technical Report, Springer Verlag, John Wiley, Pattern Recognition, San Diego, Morgan Kaufmann, Privacy Control Requirements, Internet Computing
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Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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