A Behavioral Economics Approach To Interactive Information Retrieval
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A Behavioral Economics Approach To Interactive Information Retrieval
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Author : Jiqun Liu
language : en
Publisher: Springer Nature
Release Date : 2023-02-17
A Behavioral Economics Approach To Interactive Information Retrieval written by Jiqun Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-17 with Computers categories.
This book brings together the insights from three different areas, Information Seeking and Retrieval, Cognitive Psychology, and Behavioral Economics, and shows how this new interdisciplinary approach can advance our knowledge about users interacting with diverse search systems, especially their seemingly irrational decisions and anomalies that could not be predicted by most normative models. The first part “Foundation” of this book introduces the general notions and fundamentals of this new approach, as well as the main concepts, terminology and theories. The second part “Beyond Rational Agents” describes the systematic biases and cognitive limits confirmed by behavioral experiments of varying types and explains in detail how they contradict the assumptions and predictions of formal models in information retrieval (IR). The third part “Toward A Behavioral Economics Approach” first synthesizes the findings from existing preliminary research on bounded rationality and behavioral economics modeling in information seeking, retrieval, and recommender system communities. Then, it discusses the implications, open questions and methodological challenges of applying the behavioral economics framework to different sub-areas of IR research and practices, such as modeling users and search sessions, developing unbiased learning to rank and adaptive recommendations algorithms, implementing bias-aware intelligent task support, as well as extending the conceptualization and evaluation on IR fairness, accountability, transparency and ethics (FATE) with the knowledge regarding both human biases and algorithmic biases. This book introduces a behavioral economics framework to IR scientists seeking a new perspective on both fundamental and new emerging problems of IR as well as the development and evaluation of bias-aware intelligent information systems. It is especially intended for researchers working on IR and human-information interaction who want to learn about the potential offered by behavioral economics in their own research areas.
Web Information Retrieval
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Author : Stefano Ceri
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-08-30
Web Information Retrieval written by Stefano Ceri and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-30 with Computers categories.
With the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications. Ceri and his co-authors aim at taking their readers from the foundations of modern information retrieval to the most advanced challenges of Web IR. To this end, their book is divided into three parts. The first part addresses the principles of IR and provides a systematic and compact description of basic information retrieval techniques (including binary, vector space and probabilistic models as well as natural language search processing) before focusing on its application to the Web. Part two addresses the foundational aspects of Web IR by discussing the general architecture of search engines (with a focus on the crawling and indexing processes), describing link analysis methods (specifically Page Rank and HITS), addressing recommendation and diversification, and finally presenting advertising in search (the main source of revenues for search engines). The third and final part describes advanced aspects of Web search, each chapter providing a self-contained, up-to-date survey on current Web research directions. Topics in this part include meta-search and multi-domain search, semantic search, search in the context of multimedia data, and crowd search. The book is ideally suited to courses on information retrieval, as it covers all Web-independent foundational aspects. Its presentation is self-contained and does not require prior background knowledge. It can also be used in the context of classic courses on data management, allowing the instructor to cover both structured and unstructured data in various formats. Its classroom use is facilitated by a set of slides, which can be downloaded from www.search-computing.org.
Learning To Rank For Information Retrieval
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Author : Tie-Yan Liu
language : en
Publisher: Now Publishers Inc
Release Date : 2009
Learning To Rank For Information Retrieval written by Tie-Yan Liu and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.
Learning to Rank for Information Retrieval is an introduction to the field of learning to rank, a hot research topic in information retrieval and machine learning. It categorizes the state-of-the-art learning-to-rank algorithms into three approaches from a unified machine learning perspective, describes the loss functions and learning mechanisms in different approaches, reveals their relationships and differences, shows their empirical performances on real IR applications, and discusses their theoretical properties such as generalization ability. As a tutorial, Learning to Rank for Information Retrieval helps people find the answers to the following critical questions: To what respect are learning-to-rank algorithms similar and in which aspects do they differ? What are the strengths and weaknesses of each algorithm? Which learning-to-rank algorithm empirically performs the best? Is ranking a new machine learning problem? What are the unique theoretical issues for ranking as compared to classification and regression? Learning to Rank for Information Retrieval is both a guide for beginners who are embarking on research in this area, and a useful reference for established researchers and practitioners
Computational Interaction
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Author : Antti Oulasvirta
language : en
Publisher: Oxford University Press
Release Date : 2018
Computational Interaction written by Antti Oulasvirta and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Computers categories.
This book introduces a new perspective on how to design user interfaces called "Computational Interaction". This new method applies principles of computational thinking (abstraction, automation and analysis) to inform our understanding of how people interact with user interfaces.
Advances In Information Retrieval
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Author : Matthias Hagen
language : en
Publisher: Springer Nature
Release Date : 2022-04-05
Advances In Information Retrieval written by Matthias Hagen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-05 with Computers categories.
This two-volume set LNCS 13185 and 13186 constitutes the refereed proceedings of the 44th European Conference on IR Research, ECIR 2022, held in April 2022, due to the COVID-19 pandemic. The 35 full papers presented together with 11 reproducibility papers, 13 CLEF lab descriptions papers, 12 doctoral consortium papers, 5 workshop abstracts, and 4 tutorials abstracts were carefully reviewed and selected from 395 submissions.
Applied Informetrics For Information Retrieval Research
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Author : Dietmar Wolfram
language : en
Publisher: Libraries Unlimited
Release Date : 2003-07-30
Applied Informetrics For Information Retrieval Research written by Dietmar Wolfram and has been published by Libraries Unlimited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-30 with Language Arts & Disciplines categories.
The intersection of informetrics and information retrieval (IR) research provides valuable insights for IR system modeling, design, and evaluation. This work introduces readers to informetric aspects of IR system contents and their use, and how knowledge of these patterns may be applied to better understandIR processes and their users. The recent wider availability of information retrieval technologies, due in large part to the growth of the Internet, has prompted an increase in research interest into the effective design and use of IR (information retrieval) systems. This work introduces readers to concepts of informetrics as they relate to IR, and how the intersection of these two subject areas can provide valuable insights for IR research. Informetrics, briefly summarized as the quantitative study of recorded discourse, can provide perspectives on patterns of information production and use. It also offers methodologies that may be applied in IR research that are often overlooked. Informetric analysis of IR systems can shed light on underlying patterns of IR system contents and how users interact with these systems. Applications of informetrics for IR research include the modeling and simulation of IR systems, file design and space planning, system design and implementation, system evaluation, and the targeting of services to users. Readers will learn about the scope of informetrics, informetric modeling techniques, informetric characteristics of IR systems and how they are used, and how knowledge of these characteristics may be applied in IR research.
Visual Explorations In Finance
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Author : Guido Deboeck
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Visual Explorations In Finance written by Guido Deboeck and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Mathematics categories.
Self-organizing maps (SOM) have proven to be of significant economic value in the areas of finance, economic and marketing applications. As a result, this area is rapidly becoming a non-academic technology. This book looks at near state-of-the-art SOM applications in the above areas, and is a multi-authored volume, edited by Guido Deboeck, a leading exponent in the use of computational methods in financial and economic forecasting, and by the originator of SOM, Teuvo Kohonen. The book contains chapters on applications of unsupervised neural networks using Kohonen's self-organizing map approach.
Linking Theory And Practice Of Digital Libraries
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Author : Gianmaria Silvello
language : en
Publisher: Springer Nature
Release Date : 2022-09-14
Linking Theory And Practice Of Digital Libraries written by Gianmaria Silvello and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-14 with Computers categories.
This book constitutes the proceedings of the 26th International Conference on Theory and Practice of Digital Libraries, TPDL 2022, which took place in Padua, Italy, in September 2022. The 18 full papers, 27 short papers and 15 accelerating innovation papers included in these proceedings were carefully reviewed and selected from 107 submissions. They focus on digital libraries and associated technical, practical, and social issues.
Human Automation Interaction
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Author : Vincent G. Duffy
language : en
Publisher: Springer Nature
Release Date : 2022-09-30
Human Automation Interaction written by Vincent G. Duffy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-30 with Technology & Engineering categories.
This book provides practical guidance and awareness for a growing body of knowledge developing across a variety of disciplines and many countries. This book is a celebration of the Gavriel Salvendy International Symposium (GSIS) and provides a survey of topics and emerging areas of interest in human–automation interaction. This book for the GSIS emphasizes main thematic areas: manufacturing, services and user experience. Main areas of coverage include Section A: Advanced Production Management and Production Control; Section B: Healthcare Automation; Section C: Measuring and Modeling Human Performance; Section D: Usability and User Experience; Section E: Safety Management and Occupational Ergonomics; Section F: Manufacturing and Services; Section G: Data and Probabilistic Information; Section H: Training and Collaboration Technologies. Contributions from especially early career researchers were featured as part of this (virtual) symposium and celebration. Gavriel Salvendy initiated the conferences that run annually as Human–Computer Interaction International and Applied Human Factors and Ergonomics International (AHFE), both within the Lecture Notes in Springer. The book is inclusive of human–computer interaction and human factors and ergonomics principles, yet it is intended to serve a much wider audience that has interest in automation and human modeling. The emerging need for human–automation interaction expertise has developed from an ever-growing availability and presence of automation in our everyday lives.
Resources In Education
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Author :
language : en
Publisher:
Release Date : 1999
Resources In Education written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Education categories.