Optimizing Discovery Systems to Improve User Experience

Optimizing Discovery Systems to Improve User Experience PDF Author: Bonnie Imler
Publisher: Bloomsbury Publishing USA
ISBN: 144084383X
Category : Language Arts & Disciplines
Languages : en
Pages : 150

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Book Description
Two authors with more than 40 years of combined library experience tap into their wealth of knowledge about discovery and user experience, sharing proven methods for setting up, promoting, and teaching their own discovery systems. Discovery systems are the new one-stop search model for libraries, but simply implementing the software doesn't ensure that it will meet your users' search needs. This book looks at how discovery systems are actually used by examining the findings of several user experience (UX) studies, providing data and observations that will inform your decisions about selecting, implementing, and enhancing this software. This book provides library practitioners who choose, administer, and interact with discovery systems with insight for establishing or fine-tuning a discovery system. You will understand how the use and effectiveness of the top discovery systems compare to more traditional databases and web resources, get insight into the comparative strengths and weaknesses of the best-selling discovery systems, and examine the UX research findings of the authors on student response and faculty response. You'll also learn about key configuration options that help or hinder search success with these systems and affect content selection, linking software setup, and interlibrary loan processes. The book concludes with recommended best practices for promoting discovery systems, including web design, placement on the library's website, getting coworkers on board, and PR ideas.

Optimizing Discovery Systems to Improve User Experience

Optimizing Discovery Systems to Improve User Experience PDF Author: Bonnie Imler
Publisher: Bloomsbury Publishing USA
ISBN: 144084383X
Category : Language Arts & Disciplines
Languages : en
Pages : 150

Get Book Here

Book Description
Two authors with more than 40 years of combined library experience tap into their wealth of knowledge about discovery and user experience, sharing proven methods for setting up, promoting, and teaching their own discovery systems. Discovery systems are the new one-stop search model for libraries, but simply implementing the software doesn't ensure that it will meet your users' search needs. This book looks at how discovery systems are actually used by examining the findings of several user experience (UX) studies, providing data and observations that will inform your decisions about selecting, implementing, and enhancing this software. This book provides library practitioners who choose, administer, and interact with discovery systems with insight for establishing or fine-tuning a discovery system. You will understand how the use and effectiveness of the top discovery systems compare to more traditional databases and web resources, get insight into the comparative strengths and weaknesses of the best-selling discovery systems, and examine the UX research findings of the authors on student response and faculty response. You'll also learn about key configuration options that help or hinder search success with these systems and affect content selection, linking software setup, and interlibrary loan processes. The book concludes with recommended best practices for promoting discovery systems, including web design, placement on the library's website, getting coworkers on board, and PR ideas.

Librarian's Guide to Online Searching

Librarian's Guide to Online Searching PDF Author: Christopher C. Brown
Publisher: Bloomsbury Publishing USA
ISBN:
Category : Language Arts & Disciplines
Languages : en
Pages : 337

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Book Description
Updates the premier textbook for students and librarians needing to know the landscape of current databases and how to search them. Librarians need to know of existing databases, and they must be able to teach search capabilities and strategies to library users. This practical guide introduces librarians to a broad spectrum of fee-based and freely available databases and explains how to teach them. The updated 6th edition of this well-regarded text covers new databases on the market as well as updates to older databases. It also explains underlying information structures and demonstrates how to search most effectively. It introduces readers to several recent changes, such as the move away from metadata-based indexing to full text indexing by vendors covering newspaper content. Business databases receive greater emphasis. As in the previous editions, this book takes a real-world approach, covering topics from basic and advanced search tools to online subject databases. Each chapter includes a thorough discussion, a recap, concrete examples, exercises, and points to consider, making it an ideal text for courses in database searching as well as a trustworthy professional resource.

Planning Cloud-Based Disaster Recovery for Digital Assets

Planning Cloud-Based Disaster Recovery for Digital Assets PDF Author: Robin M. Hastings
Publisher: Bloomsbury Publishing USA
ISBN:
Category : Language Arts & Disciplines
Languages : en
Pages : 98

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Book Description
This essential guide covers the basics of planning to safeguard your library's digital assets—library catalog and circulation data, online resources, etc.—by taking advantage of cloud-based storage. Natural and human-made disasters, whether large-scale or as simple as accidental damage to an electrical circuit, can disrupt library operations and services by blocking access to the essential computer systems upon which we all rely. This book gives readers the basics of emergency planning and disaster preparedness for library digital assets, providing librarians with recovery planning tools and tips for making cloud-based disaster plans work for their libraries. Written by an expert with close to two decades' experience in library environment technology, Planning Cloud-Based Disaster Recovery for Digital Assets will help staff at libraries of all types make contingency plans for emergencies big and small. Readers will learn how thoughtful contingency and recovery plans can greatly mitigate damages caused by any number of unforeseen disasters and how cloud-based storage can serve to store and protect their library's digital assets. By following the book's recommendations to achieve digital redundant back-up, multiple access points, and larger storage capacity, a library can stay operational on the Internet despite emergencies that force building closures. Also included are appendixes of checklists for disaster planning and for evaluating cloud vendors as well as a comprehensive bibliography.

Advanced Applications of Generative AI and Natural Language Processing Models

Advanced Applications of Generative AI and Natural Language Processing Models PDF Author: Obaid, Ahmed J.
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 505

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Book Description
The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of comprehensive resources hinders scholars' ability to effectively utilize these technologies. Advanced Applications of Generative AI and Natural Language Processing Models offers an effective solution to address these challenges. This comprehensive book delves into cutting-edge developments in NLP and Generative AI. It provides insights into the functioning of these technologies, their benefits, and associated challenges. Targeting students, researchers, and professionals in AI, NLP, and computer science, this book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI. By providing real-world examples and practical applications, scholars can apply their learnings to solve complex problems across various domains. Embracing Advanced Applications of Generative AI and Natural Language Processing Modelsequips academic scholars with the necessary knowledge and insights to explore innovative applications and unleash the full potential of generative AI and NLP models for effective problem-solving.

Lean UX

Lean UX PDF Author: Jeff Gothelf
Publisher: "O'Reilly Media, Inc."
ISBN: 1449311652
Category : Business & Economics
Languages : en
Pages : 152

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Book Description
User experience (UX) design has traditionally been a deliverables-based practice, with wireframes, site maps, flow diagrams, and mockups. But in today’s web-driven reality, orchestrating the entire design from the get-go no longer works. This hands-on book demonstrates Lean UX, a deeply collaborative and cross-functional process that lets you strip away heavy deliverables in favor of building shared understanding with the rest of the product team. Lean UX is the evolution of product design; refined through the real-world experiences of companies large and small, these practices and principles help you maintain daily, continuous engagement with your teammates, rather than work in isolation. This book shows you how to use Lean UX on your own projects. Get a tactical understanding of Lean UX—and how it changes the way teams work together Frame a vision of the problem you’re solving and focus your team on the right outcomes Bring the designer’s tool kit to the rest of your product team Break down the silos created by job titles and learn to trust your teammates Improve the quality and productivity of your teams, and focus on validated experiences as opposed to deliverables/documents Learn how Lean UX integrates with Agile UX

Web Portal Design, Implementation, Integration, and Optimization

Web Portal Design, Implementation, Integration, and Optimization PDF Author: Polgar, Jana
Publisher: IGI Global
ISBN: 1466627808
Category : Computers
Languages : en
Pages : 296

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Book Description
Web Portal Design, Implementation, Integration, and Optimization discusses the challenges faced in building web services and integrating applications in order to reach the successful benefits web portals bring to an organization. This collection of research aims to be a resource for researchers, developers, and industry practitioners involved in the technological, business, organizational and social dimensions of web portals.

Internet of Things, Smart Spaces, and Next Generation Networks and Systems

Internet of Things, Smart Spaces, and Next Generation Networks and Systems PDF Author: Yevgeni Koucheryavy
Publisher: Springer Nature
ISBN: 3031609972
Category :
Languages : en
Pages : 411

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Book Description


Sustainable Science and Intelligent Technologies for Societal Development

Sustainable Science and Intelligent Technologies for Societal Development PDF Author: Mishra, Brojo Kishore
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 602

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Book Description
In today's world, the pressing challenges of sustainable development and societal progress demand innovative solutions that harness the power of science and technology. From climate change to resource depletion and social inequalities, the urgency to find sustainable, intelligent, and ethical approaches has never been greater. Academic scholars and researchers play a crucial role in driving these advancements but often struggle to find comprehensive resources that bridge the gap between theory and real-world applications. The need of the hour is a definitive guide that unites expertise from diverse disciplines and offers practical insights into leveraging sustainable science and intelligent technologies to create meaningful societal development. Sustainable Science and Intelligent Technologies for Societal Development, edited by Brojo Kishore Mishra of GIET University, India, is the much-awaited solution to the challenges faced by academic scholars and researchers. This persuasive book brings together an esteemed collection of leading experts, academics, and industry professionals, all dedicated to addressing global challenges through the lens of applied sciences and intelligent technology applications. By presenting a wide range of innovative topics, such as renewable energy, smart healthcare, sustainable finance, and more, the book serves as a comprehensive resource that empowers scholars with actionable knowledge and innovative ideas. The book not only covers the theoretical aspects but also delves into the ethical considerations essential in shaping the future. In a world increasingly dependent on technology, it is vital to ensure that societal development aligns with principles of inclusivity, fairness, and environmental responsibility. With a focus on the United Nations Sustainable Development Goals (SDGs), the book provides a clear roadmap for scholars to contribute meaningfully to global progress. By offering concrete examples and real-world case studies, the book enables researchers to grasp the potential impact of their work, fostering collaborations that transcend traditional disciplinary boundaries. Sustainable Science and Intelligent Technologies for Societal Development is the go-to resource for academic scholars, scientists, researchers, innovators, industry professionals, and students who seek to be effective in the world. As a comprehensive guide that blends sustainable science and intelligent technologies with ethical considerations, this book equips its readers to create tangible solutions that address pressing global challenges. Through collective knowledge and interdisciplinary collaboration, this book stands as a beacon of hope and inspiration for driving meaningful societal development, paving the way for a more sustainable and prosperous future.

Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights

Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights PDF Author: Senthilkumar, K.R.
Publisher: IGI Global
ISBN:
Category : Language Arts & Disciplines
Languages : en
Pages : 348

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Book Description
As libraries transition into the digital age, they encounter a pressing challenge: outdated information systems hinder their ability to meet the diverse needs of patrons. Traditional library management systems struggle to cope with the demands of modern users, resulting in inefficient resource allocation, limited accessibility, and disjointed user experiences. This disconnect between antiquated systems and evolving user expectations poses a significant barrier to libraries striving to remain relevant in an increasingly digital world. Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights presents a comprehensive solution to this pressing problem. By integrating modern digital tools and technologies, libraries can revolutionize their information systems, enhancing accessibility, efficiency, and user satisfaction. This book offers practical insights and strategies for modernizing library services and operations, from digitizing physical resources to implementing advanced search algorithms and data analytics. Librarians, administrators, and technology providers will find invaluable guidance on navigating the complexities of digital transformation and maximizing the impact of their efforts.

Model Optimization Methods for Efficient and Edge AI

Model Optimization Methods for Efficient and Edge AI PDF Author: Pethuru Raj Chelliah
Publisher: John Wiley & Sons
ISBN: 1394219210
Category : Computers
Languages : en
Pages : 436

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Book Description
Comprehensive overview of the fledgling domain of federated learning (FL), explaining emerging FL methods, architectural approaches, enabling frameworks, and applications Model Optimization Methods for Efficient and Edge AI explores AI model engineering, evaluation, refinement, optimization, and deployment across multiple cloud environments (public, private, edge, and hybrid). It presents key applications of the AI paradigm, including computer vision (CV) and Natural Language Processing (NLP), explaining the nitty-gritty of federated learning (FL) and how the FL method is helping to fulfill AI model optimization needs. The book also describes tools that vendors have created, including FL frameworks and platforms such as PySyft, Tensor Flow Federated (TFF), FATE (Federated AI Technology Enabler), Tensor/IO, and more. The first part of the text covers popular AI and ML methods, platforms, and applications, describing leading AI frameworks and libraries in order to clearly articulate how these tools can help with visualizing and implementing highly flexible AI models quickly. The second part focuses on federated learning, discussing its basic concepts, applications, platforms, and its potential in edge systems (such as IoT). Other topics covered include: Building AI models that are destined to solve several problems, with a focus on widely articulated classification, regression, association, clustering, and other prediction problems Generating actionable insights through a variety of AI algorithms, platforms, parallel processing, and other enablers Compressing AI models so that computational, memory, storage, and network requirements can be substantially reduced Addressing crucial issues such as data confidentiality, data access rights, data protection, and access to heterogeneous data Overcoming cyberattacks on mission-critical software systems by leveraging federated learning