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Taschenbuch. Condition: Neu. Exploratory Search | Beyond the Query-Response Paradigm | Ryen White (u. a.) | Taschenbuch | Synthesis Lectures on Information Concepts, Retrieval, and Services | x | Englisch | 2009 | Springer | EAN 9783031011320 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Cambridge University Press CUP, 2016
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Published by Springer International Publishing, 2021
ISBN 10: 3031011988 ISBN 13: 9783031011986
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - While great strides have been made in the field of search and recommendation, there are still challenges and opportunities to address information access issues that involve solving tasks and accomplishing goals for a wide variety of users. Specifically, we lack intelligent systems that can detect not only the request an individual is making (what), but also understand and utilize the intention (why) and strategies (how) while providing information and enabling task completion. Many scholars in the fields of information retrieval, recommender systems, productivity (especially in task management and time management), and artificial intelligence have recognized the importance of extracting and understanding people's tasks and the intentions behind performing those tasks in order to serve them better. However, we are still struggling to support them in task completion, e.g., in search and assistance, and it has been challenging to move beyond single-query or single-turn interactions. The proliferation of intelligent agents has unlocked new modalities for interacting with information, but these agents will need to be able to work understanding current and future contexts and assist users at task level. This book will focus on task intelligence in the context of search and recommendation. Chapter 1 introduces readers to the issues of detecting, understanding, and using task and task-related information in an information episode (with or without active searching). This is followed by presenting several prominent ideas and frameworks about how tasks are conceptualized and represented in Chapter 2. In Chapter 3, the narrative moves to showing how task type relates to user behaviors and search intentions. A task can be explicitly expressed in some cases, such as in a to-do application, but often it is unexpressed. Chapter 4 covers these two scenarios with several related works and case studies. Chapter 5 shows how task knowledge and task models can contribute to addressing emerging retrieval and recommendation problems. Chapter 6 covers evaluation methodologies and metrics for task-based systems, with relevant case studies to demonstrate their uses. Finally, the book concludes in Chapter 7, with ideas for future directions in this important research area.
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Published by Cambridge University Press, 2016
ISBN 10: 1107034221 ISBN 13: 9781107034228
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Condition: New. This book describes advances in technology, data availability, and searcher expectations around next-generation search engines. Num Pages: 500 pages, 79 b/w illus. 16 tables. BIC Classification: UBJ; UNH; UYZ. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 253 x 177. . . 2016. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Language: English
Published by Cambridge University Press, 2016
ISBN 10: 1107034221 ISBN 13: 9781107034228
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes advances in technology, data availability, and searcher expectations around next-generation search engines.
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Published by Cambridge University Press, 2016
ISBN 10: 1107034221 ISBN 13: 9781107034228
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Condition: New. This book describes advances in technology, data availability, and searcher expectations around next-generation search engines. Num Pages: 500 pages, 79 b/w illus. 16 tables. BIC Classification: UBJ; UNH; UYZ. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 253 x 177. . . 2016. 1st Edition. Hardcover. . . . .
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Published by Springer International Publishing AG, CH, 2024
ISBN 10: 3031731468 ISBN 13: 9783031731464
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Add to basketHardback. Condition: New. 2024 ed. Generative Artificial Intelligence (GenAI) has emerged as a groundbreaking technology that promises to revolutionize many industries as well as people's personal and professional lives. This book discusses GenAI and its role in information access - often referred to as Generative Information Retrieval (GenIR) - or more broadly, information interaction.The role of GenAI in information access is complex and dynamic, with many dimensions. To address this, following a brief introduction to GenAI and GenIR, the remainder of the book provides eight chapters, each targeting a different dimension or sub-topic. These cover foundations of GenIR, interactions with GenIR systems, adapting them to users, tasks, and scenarios, improving them based on user feedback, GenIR evaluation, the sociotechnical implications of GenAI for information access, recommendations within GenIR, and the future of information access with GenIR.The book is targeted at graduate students and researchers interested in issues of information retrieval, access, and interactions, as well as applications of GenAI in various informational contexts. While some of the parts assume prior background in IR or AI, most others do not, making this book suitable for adoption in various classes as a primary source or as a supplementary material.