Intelligent Information Access

Giovanni Semeraro

ISBN 10: 364213999X / ISBN 13: 9783642139994

Published by Springer Berlin Heidelberg, 2010

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Intelligent Information Access techniques attempt to overcome the limitations ofcurrent search devices by providing personalized information items and product/service recommendations. They normally utilize direct or indirect user input andfacilitate the information search and decision processes, according to user needs,preferences and usage patterns. Recent developments at the intersection of InformationRetrieval, Information Filtering, Machine Learning, User Modelling, NaturalLanguage Processing and Human-Computer Interaction offer novel solutions thatempower users to go beyond single-session lookup tasks and that aim at servingthe more complex requirement: 'Tell me what I don't know that I need to know'.Information filtering systems, specifically recommender systems, have been revolutionizingthe way information seekers find what they want, because they effectivelyprune large information spaces and help users in selecting items that best meet theirneeds and preferences. Recommender systems rely strongly on the use of variousmachine learning tools and algorithms for learning how to rank, or predict userevaluation, of items. Information Retrieval systems, on the other hand, also attemptto address similar filtering and ranking problems for pieces of information such aslinks, pages, and documents. But they generally focus on the development of globalretrieval 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 multidisciplinaryperspective. It comprises six chapters authored by participants in theresearch event Intelligent Information Access, held in Cagliari (Italy) in December2008.

Seller Inventory # 9783642139994

Bibliographic Details

• Title: Intelligent Information Access
• Publisher: Springer Berlin Heidelberg
• Publication Date: 2010
• Language: English
• ISBN 10: 364213999X
• ISBN 13: 9783642139994
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 15D millimeters 241 millimeters width by 160 millimeters height by 15 millimeters depth
• Weight: 429 grams

About this title

Synopsis

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.

From the Back Cover

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.