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A Behavioral Economics Approach to Interactive Information Retrieval, Liu


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Автор: Liu
Название:  A Behavioral Economics Approach to Interactive Information Retrieval
ISBN: 9783031232282
Издательство: Springer
Классификация:




ISBN-10: 3031232283
Обложка/Формат: Hardback
Страницы: 211
Вес: 0.51 кг.
Дата издания: 04.03.2023
Серия: The Information Retrieval Series
Язык: English
Издание: 1st ed. 2023
Иллюстрации: 32 tables, color; 1 illustrations, black and white; xvi, 211 p. 1 illus.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: Understanding and supporting boundedly rational users
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 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.
Дополнительное описание: - Part I Foundation. - 1. Introduction. - 2. Formally Modeling Users in Information Retrieval. - 3. From Rational Agent to Human with Bounded Rationality. - Part II Beyond Rational Agents. - 4. Bounded Rationality in Decision-Making Under Uncertainty. - 5


Trends in Music Information Seeking, Behavior, and Retrieval for Creativity

Автор: Petros Kostagiolas, Konstantina Martzoukou, Charilaos Lavranos
Название: Trends in Music Information Seeking, Behavior, and Retrieval for Creativity
ISBN: 152250270X ISBN-13(EAN): 9781522502708
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Connects theoretical concepts in information seeking and behaviour to the music creative process. This publication presents new research, case studies, surveys, and theories related to various aspects of information retrieval and the information seeking behaviour of diverse scholarly and professional music communities.

Interactive IR User Study Design, Evaluation, and Reporting

Автор: Liu Jiqun, Shah Chirag
Название: Interactive IR User Study Design, Evaluation, and Reporting
ISBN: 1681735792 ISBN-13(EAN): 9781681735795
Издательство: Mare Nostrum (Eurospan)
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Цена: 46200.00 T
Наличие на складе: Невозможна поставка.
Описание:

Since user study design has been widely applied in search interactions and information retrieval (IR) systems evaluation studies, a deep reflection and meta-evaluation of interactive IR (IIR) user studies is critical for sharpening the instruments of IIR research and improving the reliability and validity of the conclusions drawn from IIR user studies.

To this end, we developed a faceted framework for supporting user study design, reporting, and evaluation based on a systematic review of the state-of-the-art IIR research papers recently published in several top IR venues (n=462). Within the framework, we identify three major types of research focuses, extract and summarize facet values from specific cases, and highlight the under-reported user study components which may significantly affect the results of research. Then, we employ the faceted framework in evaluating a series of IIR user studies against their respective research questions and explain the roles and impacts of the underlying connections and "collaborations" among different facet values. Through bridging diverse combinations of facet values with the study design decisions made for addressing research problems, the faceted framework can shed light on IIR user study design, reporting, and evaluation practices and help students and young researchers design and assess their own studies.


Interactive IR User Study Design, Evaluation, and Reporting

Автор: Liu Jiqun, Shah Chirag
Название: Interactive IR User Study Design, Evaluation, and Reporting
ISBN: 1681735814 ISBN-13(EAN): 9781681735818
Издательство: Mare Nostrum (Eurospan)
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Цена: 67450.00 T
Наличие на складе: Невозможна поставка.
Описание:

Since user study design has been widely applied in search interactions and information retrieval (IR) systems evaluation studies, a deep reflection and meta-evaluation of interactive IR (IIR) user studies is critical for sharpening the instruments of IIR research and improving the reliability and validity of the conclusions drawn from IIR user studies.

To this end, we developed a faceted framework for supporting user study design, reporting, and evaluation based on a systematic review of the state-of-the-art IIR research papers recently published in several top IR venues (n=462). Within the framework, we identify three major types of research focuses, extract and summarize facet values from specific cases, and highlight the under-reported user study components which may significantly affect the results of research. Then, we employ the faceted framework in evaluating a series of IIR user studies against their respective research questions and explain the roles and impacts of the underlying connections and "collaborations" among different facet values. Through bridging diverse combinations of facet values with the study design decisions made for addressing research problems, the faceted framework can shed light on IIR user study design, reporting, and evaluation practices and help students and young researchers design and assess their own studies.


Structure and Evolution

Автор: Binxing Fang, Yan Jia
Название: Structure and Evolution
ISBN: 3110596067 ISBN-13(EAN): 9783110596069
Издательство: Walter de Gruyter
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Цена: 107790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three volume set provides a systematic overview of theories and technique on social network analysis. Volume 1 of the set mainly focuses on the structure characteristics, the modeling, and the evolution mechanism of social network analysis. Techniques and approaches for virtual community detection are discussed in detail as well. It is an essential reference for scientist and professionals in computer science.

Mining Structures of Factual Knowledge from Text: An Effort-Light Approach

Автор: Xiang Ren, Jiawei Han
Название: Mining Structures of Factual Knowledge from Text: An Effort-Light Approach
ISBN: 1681733943 ISBN-13(EAN): 9781681733944
Издательство: Mare Nostrum (Eurospan)
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Цена: 102570.00 T
Наличие на складе: Невозможна поставка.
Описание: The real-world data, though massive, is largely unstructured, in the form of natural-language text. It is challenging but highly desirable to mine structures from massive text data, without extensive human annotation and labeling. In this book, we investigate the principles and methodologies of mining structures of factual knowledge (e.g., entities and their relationships) from massive, unstructured text corpora.Departing from many existing structure extraction methods that have heavy reliance on human annotated data for model training, our effort-light approach leverages human-curated facts stored in external knowledge bases as distant supervision and exploits rich data redundancy in large text corpora for context understanding. This effort-light mining approach leads to a series of new principles and powerful methodologies for structuring text corpora, including (1) entity recognition, typing and synonym discovery, (2) entity relation extraction, and (3) open-domain attribute-value mining and information extraction. This book introduces this new research frontier and points out some promising research directions.

Mining Structures of Factual Knowledge from Text: An Effort-Light Approach

Автор: Xiang Ren, Jiawei Han
Название: Mining Structures of Factual Knowledge from Text: An Effort-Light Approach
ISBN: 1681733927 ISBN-13(EAN): 9781681733920
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 82230.00 T
Наличие на складе: Невозможна поставка.
Описание: The real-world data, though massive, is largely unstructured, in the form of natural-language text. It is challenging but highly desirable to mine structures from massive text data, without extensive human annotation and labeling. In this book, we investigate the principles and methodologies of mining structures of factual knowledge (e.g., entities and their relationships) from massive, unstructured text corpora.Departing from many existing structure extraction methods that have heavy reliance on human annotated data for model training, our effort-light approach leverages human-curated facts stored in external knowledge bases as distant supervision and exploits rich data redundancy in large text corpora for context understanding. This effort-light mining approach leads to a series of new principles and powerful methodologies for structuring text corpora, including (1) entity recognition, typing and synonym discovery, (2) entity relation extraction, and (3) open-domain attribute-value mining and information extraction. This book introduces this new research frontier and points out some promising research directions.

Theoretical Foundations for Digital Libraries: The 5S (Societies, Scenarios, Spaces, Structures, Streams) Approach

Автор: Edward Fox, Marcos Andre Goncalves, Rao Shen
Название: Theoretical Foundations for Digital Libraries: The 5S (Societies, Scenarios, Spaces, Structures, Streams) Approach
ISBN: 1608459101 ISBN-13(EAN): 9781608459100
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 36030.00 T
Наличие на складе: Невозможна поставка.
Описание: In 1991, a group of researchers chose the term digital libraries to describe an emerging field of research, development, and practice. Since then, Virginia Tech has had funded research in this area, largely through its Digital Library Research Laboratory. This book is the first in a four book series that reports key findings and current research investigations.

Social Tagging for Linking Data Across Environments

Автор: Pennington Diane
Название: Social Tagging for Linking Data Across Environments
ISBN: 1783303387 ISBN-13(EAN): 9781783303380
Издательство: Facet
Рейтинг:
Цена: 112640.00 T
Наличие на складе: Нет в наличии.
Описание: This book, representing researchers and practitioners across different information professions, will explore how social tags can link content across a variety of environments.

Clinical Text Mining

Автор: Dalianis, Hercules
Название: Clinical Text Mining
ISBN: 3030087158 ISBN-13(EAN): 9783030087159
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters.

Intelligent Interactive Assistance and Mobile Multimedia Computing

Автор: Djamshid Tavangarian; Thomas Kirste; Dirk Timmerma
Название: Intelligent Interactive Assistance and Mobile Multimedia Computing
ISBN: 364210262X ISBN-13(EAN): 9783642102622
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: International Conference IMC 2009 RostockWarnemnde Germany November 911 2009 Proceedings. .

Frontiers in Gaming Simulation

Автор: Sebastiaan A. Meijer; Riitta Smeds
Название: Frontiers in Gaming Simulation
ISBN: 3319049534 ISBN-13(EAN): 9783319049533
Издательство: Springer
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Цена: 58690.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Frontiers in gaming simulation for education.- Frontiers in gaming simulation for design and experimentation.- Frontiers in gaming simulation for transportation and logistics.- Professionalism and business in gaming simulation.

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Автор: Andreas Holzinger; Igor Jurisica
Название: Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
ISBN: 3662439670 ISBN-13(EAN): 9783662439678
Издательство: Springer
Рейтинг:
Цена: 52170.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Knowledge Discovery and Data Mining in Biomedical Informatics: The Future Is in Integrative, Interactive Machine Learning Solutions.- Visual Data Mining: Effective Exploration of the Biological Universe.- Darwin or Lamarck? Future Challenges in Evolutionary Algorithms for Knowledge Discovery and Data Mining.- On the Generation of Point Cloud Data Sets: Step One in the Knowledge Discovery Process.- Adapted Features and Instance Selection for Improving Co-training.- Knowledge Discovery and Visualization of Clusters for Erythromycin Related Adverse Events in the FDA Drug Adverse Event Reporting System.- On Computationally-Enhanced Visual Analysis of Heterogeneous Data and Its Application in Biomedical Informatics.- A Policy-Based Cleansing and Integration Framework for Labour and Healthcare Data.- Interactive Data Exploration Using Pattern Mining.- Resources for Studying Statistical Analysis of Biomedical Data and R.- A Kernel-Based Framework for Medical Big-Data Analytics.- On Entropy-Based Data Mining.- Sparse Inverse Covariance Estimation for Graph Representation of Feature Structure.- Multi-touch Graph-Based Interaction for Knowledge Discovery on Mobile Devices: State-of-the-Art and Future Challenges.- Intelligent Integrative Knowledge Bases: Bridging Genomics, Integrative Biology and Translational Medicine.- Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges.- Protecting Anonymity in Data-Driven Biomedical Science.- Biobanks - A Source of Large Biological Data Sets: Open Problems and Future Challenges.- On Topological Data Mining.


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