Ictir15

Download Ictir15 full books in PDF, epub, and Kindle. Read online Ictir15 ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Entity-Oriented Search

Author : Krisztian Balog
Publisher : Springer
ISBN 13 : 3319939351
Total Pages : 358 pages
Book Rating : 4.3/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Entity-Oriented Search by : Krisztian Balog

Download or read book Entity-Oriented Search written by Krisztian Balog and published by Springer. This book was released on 2018-10-02 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book covers all facets of entity-oriented search—where “search” can be interpreted in the broadest sense of information access—from a unified point of view, and provides a coherent and comprehensive overview of the state of the art. It represents the first synthesis of research in this broad and rapidly developing area. Selected topics are discussed in-depth, the goal being to establish fundamental techniques and methods as a basis for future research and development. Additional topics are treated at a survey level only, containing numerous pointers to the relevant literature. A roadmap for future research, based on open issues and challenges identified along the way, rounds out the book. The book is divided into three main parts, sandwiched between introductory and concluding chapters. The first two chapters introduce readers to the basic concepts, provide an overview of entity-oriented search tasks, and present the various types and sources of data that will be used throughout the book. Part I deals with the core task of entity ranking: given a textual query, possibly enriched with additional elements or structural hints, return a ranked list of entities. This core task is examined in a number of different variants, using both structured and unstructured data collections, and numerous query formulations. In turn, Part II is devoted to the role of entities in bridging unstructured and structured data. Part III explores how entities can enable search engines to understand the concepts, meaning, and intent behind the query that the user enters into the search box, and how they can provide rich and focused responses (as opposed to merely a list of documents)—a process known as semantic search. The final chapter concludes the book by discussing the limitations of current approaches, and suggesting directions for future research. Researchers and graduate students are the primary target audience of this book. A general background in information retrieval is sufficient to follow the material, including an understanding of basic probability and statistics concepts as well as a basic knowledge of machine learning concepts and supervised learning algorithms.

Cross-device Web Search

Author : Dan Wu
Publisher : Routledge
ISBN 13 : 0429513771
Total Pages : 169 pages
Book Rating : 4.4/5 (295 download)

DOWNLOAD NOW!

Book Synopsis Cross-device Web Search by : Dan Wu

Download or read book Cross-device Web Search written by Dan Wu and published by Routledge. This book was released on 2022-04-18 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cross-device Web Search is the first book to examine cross-device search behavior, which takes place when people utilize multiple devices and several sessions to research the same topic. Providing a comprehensive examination of cross-device search behaviors, the book also models and analyses their most important features and, by doing so, helps to elucidate the motivations behind such behaviors. Drawing on a variety of methods and sources, including system design, user experiments, and qualitative and quantitative analysis, the book introduces cross-device search, relates it to relevant conceptual models, and identifies cross-device search topics. Providing discussion of a comprehensive range of behaviors in the context of cross-device search, including querying, gazing, clicking, and touching, the book also presents the design and development of a system to support cross-device search, explores cross-device search behavior modeling, and predicts users’ search performance. Cross-device Web Search will be of great interest to academics and students situated in the fields of library and information science, computer science, and management science. The book should also provide fascinating insights to practitioners and others interested in information search retrieval, information seeking behavior, and human-computer interaction communities.

Dynamic Information Retrieval Modeling

Author : Grace Hui Yang
Publisher : Springer Nature
ISBN 13 : 3031023013
Total Pages : 126 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Dynamic Information Retrieval Modeling by : Grace Hui Yang

Download or read book Dynamic Information Retrieval Modeling written by Grace Hui Yang and published by Springer Nature. This book was released on 2022-05-31 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and human-computer information retrieval (HCIR) are changing IR. They capture the dynamic changes in the data and dynamic interactions of users with IR systems. A dynamic system is one which changes or adapts over time or a sequence of events. Many modern IR systems and data exhibit these characteristics which are largely ignored by conventional techniques. What is missing is an ability for the model to change over time and be responsive to stimulus. Documents, relevance, users and tasks all exhibit dynamic behavior that is captured in data sets typically collected over long time spans and models need to respond to these changes. Additionally, the size of modern datasets enforces limits on the amount of learning a system can achieve. Further to this, advances in IR interface, personalization and ad display demand models that can react to users in real time and in an intelligent, contextual way. In this book we provide a comprehensive and up-to-date introduction to Dynamic Information Retrieval Modeling, the statistical modeling of IR systems that can adapt to change. We define dynamics, what it means within the context of IR and highlight examples of problems where dynamics play an important role. We cover techniques ranging from classic relevance feedback to the latest applications of partially observable Markov decision processes (POMDPs) and a handful of useful algorithms and tools for solving IR problems incorporating dynamics. The theoretical component is based around the Markov Decision Process (MDP), a mathematical framework taken from the field of Artificial Intelligence (AI) that enables us to construct models that change according to sequential inputs. We define the framework and the algorithms commonly used to optimize over it and generalize it to the case where the inputs aren't reliable. We explore the topic of reinforcement learning more broadly and introduce another tool known as a Multi-Armed Bandit which is useful for cases where exploring model parameters is beneficial. Following this we introduce theories and algorithms which can be used to incorporate dynamics into an IR model before presenting an array of state-of-the-art research that already does, such as in the areas of session search and online advertising. Change is at the heart of modern Information Retrieval systems and this book will help equip the reader with the tools and knowledge needed to understand Dynamic Information Retrieval Modeling.

Data Management, Analytics and Innovation

Author : Valentina Emilia Balas
Publisher : Springer
ISBN 13 : 9811314020
Total Pages : 504 pages
Book Rating : 4.8/5 (113 download)

DOWNLOAD NOW!

Book Synopsis Data Management, Analytics and Innovation by : Valentina Emilia Balas

Download or read book Data Management, Analytics and Innovation written by Valentina Emilia Balas and published by Springer. This book was released on 2018-08-09 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the latest, high-quality, technical contributions and research findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It discusses state-of-the-art topics as well as the challenges and solutions for future development. It includes original and previously unpublished international research work highlighting research domains from different perspectives. This book is mainly intended for researchers and practitioners in academia and industry.

Biomedical Information Technology

Author : David Dagan Feng
Publisher : Academic Press
ISBN 13 : 0128160357
Total Pages : 820 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis Biomedical Information Technology by : David Dagan Feng

Download or read book Biomedical Information Technology written by David Dagan Feng and published by Academic Press. This book was released on 2019-10-22 with total page 820 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical Information Technology, Second Edition, contains practical, integrated clinical applications for disease detection, diagnosis, surgery, therapy and biomedical knowledge discovery, including the latest advances in the field, such as biomedical sensors, machine intelligence, artificial intelligence, deep learning in medical imaging, neural networks, natural language processing, large-scale histopathological image analysis, virtual, augmented and mixed reality, neural interfaces, and data analytics and behavioral informatics in modern medicine. The enormous growth in the field of biotechnology necessitates the utilization of information technology for the management, flow and organization of data. All biomedical professionals can benefit from a greater understanding of how data can be efficiently managed and utilized through data compression, modeling, processing, registration, visualization, communication and large-scale biological computing. Presents the world's most recognized authorities who give their "best practices" Provides professionals with the most up-to-date and mission critical tools to evaluate the latest advances in the field Gives new staff the technological fundamentals and updates experienced professionals with the latest practical integrated clinical applications

Transportation Analytics in the Era of Big Data

Author : Satish V. Ukkusuri
Publisher : Springer
ISBN 13 : 3319758624
Total Pages : 234 pages
Book Rating : 4.3/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Transportation Analytics in the Era of Big Data by : Satish V. Ukkusuri

Download or read book Transportation Analytics in the Era of Big Data written by Satish V. Ukkusuri and published by Springer. This book was released on 2018-07-28 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents papers based on the presentations and discussions at the international workshop on Big Data Smart Transportation Analytics held July 16 and 17, 2016 at Tongji University in Shanghai and chaired by Professors Ukkusuri and Yang. The book is intended to explore a multidisciplinary perspective to big data science in urban transportation, motivated by three critical observations: The rapid advances in the observability of assets, platforms for matching supply and demand, thereby allowing sharing networks previously unimaginable. The nearly universal agreement that data from multiple sources, such as cell phones, social media, taxis and transit systems can allow an understanding of infrastructure systems that is critically important to both quality of life and successful economic competition at the global, national, regional, and local levels. There is presently a lack of unifying principles and methodologies that approach big data urban systems. The workshop brought together varied perspectives from engineering, computational scientists, state and central government, social scientists, physicists, and network science experts to develop a unifying set of research challenges and methodologies that are likely to impact infrastructure systems with a particular focus on transportation issues. The book deals with the emerging topic of data science for cities, a central topic in the last five years that is expected to become critical in academia, industry, and the government in the future. There is currently limited literature for researchers to know the opportunities and state of the art in this emerging area, so this book fills a gap by synthesizing the state of the art from various scholars and help identify new research directions for further study.

Linking and Mining Heterogeneous and Multi-view Data

Author : Deepak P
Publisher : Springer
ISBN 13 : 3030018725
Total Pages : 343 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Linking and Mining Heterogeneous and Multi-view Data by : Deepak P

Download or read book Linking and Mining Heterogeneous and Multi-view Data written by Deepak P and published by Springer. This book was released on 2018-12-13 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights research in linking and mining data from across varied data sources. The authors focus on recent advances in this burgeoning field of multi-source data fusion, with an emphasis on exploratory and unsupervised data analysis, an area of increasing significance with the pace of growth of data vastly outpacing any chance of labeling them manually. The book looks at the underlying algorithms and technologies that facilitate the area within big data analytics, it covers their applications across domains such as smarter transportation, social media, fake news detection and enterprise search among others. This book enables readers to understand a spectrum of advances in this emerging area, and it will hopefully empower them to leverage and develop methods in multi-source data fusion and analytics with applications to a variety of scenarios. Includes advances on unsupervised, semi-supervised and supervised approaches to heterogeneous data linkage and fusion; Covers use cases of analytics over multi-view and heterogeneous data from across a variety of domains such as fake news, smarter transportation and social media, among others; Provides a high-level overview of advances in this emerging field and empowers the reader to explore novel applications and methodologies that would enrich the field.

Introduction to Information Theory

Author : Masud Mansuripur
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 184 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!

Book Synopsis Introduction to Information Theory by : Masud Mansuripur

Download or read book Introduction to Information Theory written by Masud Mansuripur and published by Prentice Hall. This book was released on 1987 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Interaction

Author : Antti Oulasvirta
Publisher : Oxford University Press
ISBN 13 : 0198799608
Total Pages : 433 pages
Book Rating : 4.1/5 (987 download)

DOWNLOAD NOW!

Book Synopsis Computational Interaction by : Antti Oulasvirta

Download or read book Computational Interaction written by Antti Oulasvirta and published by Oxford University Press. This book was released on 2018 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents computational interaction as an approach to explaining and enhancing the interaction between humans and information technology. Computational interaction applies abstraction, automation, and analysis to inform our understanding of the structure of interaction and also to inform the design of the software that drives new and exciting human-computer interfaces. The methods of computational interaction allow, for example, designers to identify user interfaces that are optimal against some objective criteria. They also allow software engineers to build interactive systems that adapt their behaviour to better suit individual capacities and preferences.00This book introduces computational interaction design to the reader by exploring a wide range of computational interaction techniques, strategies and methods. It explains how techniques such as optimisation, economic modelling, machine learning, control theory, formal methods, cognitive models and statistical language processing can be used to model interaction and design more expressive, efficient and versatile interaction.

Estimating the Query Difficulty for Information Retrieval

Author : David Carmel
Publisher : Springer Nature
ISBN 13 : 3031022726
Total Pages : 77 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Estimating the Query Difficulty for Information Retrieval by : David Carmel

Download or read book Estimating the Query Difficulty for Information Retrieval written by David Carmel and published by Springer Nature. This book was released on 2022-05-31 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many information retrieval (IR) systems suffer from a radical variance in performance when responding to users' queries. Even for systems that succeed very well on average, the quality of results returned for some of the queries is poor. Thus, it is desirable that IR systems will be able to identify "difficult" queries so they can be handled properly. Understanding why some queries are inherently more difficult than others is essential for IR, and a good answer to this important question will help search engines to reduce the variance in performance, hence better servicing their customer needs. Estimating the query difficulty is an attempt to quantify the quality of search results retrieved for a query from a given collection of documents. This book discusses the reasons that cause search engines to fail for some of the queries, and then reviews recent approaches for estimating query difficulty in the IR field. It then describes a common methodology for evaluating the prediction quality of those estimators, and experiments with some of the predictors applied by various IR methods over several TREC benchmarks. Finally, it discusses potential applications that can utilize query difficulty estimators by handling each query individually and selectively, based upon its estimated difficulty. Table of Contents: Introduction - The Robustness Problem of Information Retrieval / Basic Concepts / Query Performance Prediction Methods / Pre-Retrieval Prediction Methods / Post-Retrieval Prediction Methods / Combining Predictors / A General Model for Query Difficulty / Applications of Query Difficulty Estimation / Summary and Conclusions

Oncology Informatics

Author : Bradford W. Hesse
Publisher : Academic Press
ISBN 13 : 0128022000
Total Pages : 448 pages
Book Rating : 4.1/5 (28 download)

DOWNLOAD NOW!

Book Synopsis Oncology Informatics by : Bradford W. Hesse

Download or read book Oncology Informatics written by Bradford W. Hesse and published by Academic Press. This book was released on 2016-03-17 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Oncology Informatics: Using Health Information Technology to Improve Processes and Outcomes in Cancer Care encapsulates National Cancer Institute-collected evidence into a format that is optimally useful for hospital planners, physicians, researcher, and informaticians alike as they collectively strive to accelerate progress against cancer using informatics tools. This book is a formational guide for turning clinical systems into engines of discovery as well as a translational guide for moving evidence into practice. It meets recommendations from the National Academies of Science to "reorient the research portfolio" toward providing greater "cognitive support for physicians, patients, and their caregivers" to "improve patient outcomes." Data from systems studies have suggested that oncology and primary care systems are prone to errors of omission, which can lead to fatal consequences downstream. By infusing the best science across disciplines, this book creates new environments of "Smart and Connected Health." Oncology Informatics is also a policy guide in an era of extensive reform in healthcare settings, including new incentives for healthcare providers to demonstrate "meaningful use" of these technologies to improve system safety, engage patients, ensure continuity of care, enable population health, and protect privacy. Oncology Informatics acknowledges this extraordinary turn of events and offers practical guidance for meeting meaningful use requirements in the service of improved cancer care. Anyone who wishes to take full advantage of the health information revolution in oncology to accelerate successes against cancer will find the information in this book valuable. Presents a pragmatic perspective for practitioners and allied health care professionals on how to implement Health I.T. solutions in a way that will minimize disruption while optimizing practice goals Proposes evidence-based guidelines for designers on how to create system interfaces that are easy to use, efficacious, and timesaving Offers insight for researchers into the ways in which informatics tools in oncology can be utilized to shorten the distance between discovery and practice

2020 6th International Conference on Big Data and Information Analytics (BigDIA)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781665446662
Total Pages : pages
Book Rating : 4.4/5 (466 download)

DOWNLOAD NOW!

Book Synopsis 2020 6th International Conference on Big Data and Information Analytics (BigDIA) by : IEEE Staff

Download or read book 2020 6th International Conference on Big Data and Information Analytics (BigDIA) written by IEEE Staff and published by . This book was released on 2020-12-04 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The BigDIA 2020 will bring together research scientists from academia, industries, and government agencies to report progress and exchange ideas to address challenges in fundamental research and rapid knowledge translation in collecting, processing, analyzing, integrating, annotating and visualizing Big Data for scientific exploration, business and policy decision making Topics of interest include, but are not limited to Fundamental theories for Big Data analytics Statistical theories for Big Data Computer science theories for Big Data Mathematical theories for Big Data Big Data computing Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data Application areas EHR and health care Big Data Bioinformatics Precision medicine Multimedia and Multi structured Data Finance and economics Wearable or mobile device data Internet of Things Big Data prediction and decision support systems

CHIIR '18

Author : Chiir
Publisher :
ISBN 13 : 9781450358774
Total Pages : 404 pages
Book Rating : 4.3/5 (587 download)

DOWNLOAD NOW!

Book Synopsis CHIIR '18 by : Chiir

Download or read book CHIIR '18 written by Chiir and published by . This book was released on 2018-10-25 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is our great pleasure to welcome you to New Brunswick, New Jersey and the third ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2018). CHIIR, as you may know, has roots in two previously successful communities: The Information Interaction in Context (IIiX) conference and the Human Computer Information Retrieval (HCIR) symposium, which ran from 2006 and 2007 respectively. These meetings were focused on issues that involved Human Information Behavior (HIB), Interactive Information Retrieval (IIR) and Human-Computer Interaction (HCI). Those roots, as well as decades of research and development on information seeking and other forms of information interaction, human-centered design, and information retrieval are the backbone of CHIIR. At the same time, this vibrant new community has picked up more scholars and themes as it continues to attract new students and professionals, as well as emerging research topics that are evident in this year's program. In fact, CHIIR is one of the few forums that explicitly supports presentation of bold new ideas through its Perspective Papers category. In addition, we have picked up Demos as a new category for presentations this year. All of these wonderful things could not be possible without a large number of people making significant contributions. We are quite fortunate to have Katriina Byströouml;ouml;m, Falk Scholer, and Jeff Huang as our Program Chairs this year. These three brave souls took upon a tremendous effort of working with dozens of submissions, reviewers, and meta-reviewers and constructing a high-quality program while coordinating from three different continents. Soo Young Rieh and Preben Hansen, on the other hand dealt with higher than expected load for short papers and still managed to get them reviewed and assessed on time. Even our Doctoral Consortium (DC) this year ended up being quite challenging as we received twice as many submissions as before, but our fine DC chairs Jaceck Gwizdka and Vivek Singh found world-class mentors for these doctoral students. Thanks to our Workshops and Tutorials Chair Xiaojun Yuan, we have a fantastic lineup of tutorials on the first day and workshops on the last day. When the whole program was ready for the conference, it was our Proceedings Chair Roberto Gonzalez-Ibanez who managed to put together these proceedings that you are holding in your hands, or more likely viewing in the ACM Digital Library! We are thankful for having an energetic and resourceful local arrangement committee with Michael Cole as the Treasurer, Fernando Diaz as the Sponsorship Chair, Kaitlin Costello as the Local Organizing Chair, and Sunyoung Kim and Matt Mitsui as the Student Volunteers Chairs. And it was our Publicity Chair Anita Crescenzi, who helped us with not only the outreach efforts, but also with the registration system. Finally, none of these would have happened without the authors and reviewers from more than 30 countries whose contributions are reflected in every aspect of this conference. So, thank you all!

Aggregated Search

Author : Jaime Arguello
Publisher :
ISBN 13 : 9781680832525
Total Pages : 154 pages
Book Rating : 4.8/5 (325 download)

DOWNLOAD NOW!

Book Synopsis Aggregated Search by : Jaime Arguello

Download or read book Aggregated Search written by Jaime Arguello and published by . This book was released on 2017-03-06 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive summary of the research in aggregated search. It also surveys different evaluation methodologies for aggregated search and discusses prior user studies aimed at better understanding how users behave with aggregated search interfaces. It concludes by reviewing different advanced topics in aggregated search.

Methods for Evaluating Interactive Information Retrieval Systems with Users

Author : Diane Kelly
Publisher : Now Publishers Inc
ISBN 13 : 1601982240
Total Pages : 246 pages
Book Rating : 4.6/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Methods for Evaluating Interactive Information Retrieval Systems with Users by : Diane Kelly

Download or read book Methods for Evaluating Interactive Information Retrieval Systems with Users written by Diane Kelly and published by Now Publishers Inc. This book was released on 2009 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an overview and instruction on the evaluation of interactive information retrieval systems with users.

The Geometry of Information Retrieval

Author : C. J. van Rijsbergen
Publisher : Cambridge University Press
ISBN 13 : 9780521838054
Total Pages : 178 pages
Book Rating : 4.8/5 (38 download)

DOWNLOAD NOW!

Book Synopsis The Geometry of Information Retrieval by : C. J. van Rijsbergen

Download or read book The Geometry of Information Retrieval written by C. J. van Rijsbergen and published by Cambridge University Press. This book was released on 2004-08-12 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: An important work on a new framework for information retrieval: implications for artificial intelligence, natural language processing.

Laboratory Experiments in Information Retrieval

Author : Tetsuya Sakai
Publisher : Springer
ISBN 13 : 9811311994
Total Pages : 150 pages
Book Rating : 4.8/5 (113 download)

DOWNLOAD NOW!

Book Synopsis Laboratory Experiments in Information Retrieval by : Tetsuya Sakai

Download or read book Laboratory Experiments in Information Retrieval written by Tetsuya Sakai and published by Springer. This book was released on 2018-09-22 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering aspects from principles and limitations of statistical significance tests to topic set size design and power analysis, this book guides readers to statistically well-designed experiments. Although classical statistical significance tests are to some extent useful in information retrieval (IR) evaluation, they can harm research unless they are used appropriately with the right sample sizes and statistical power and unless the test results are reported properly. The first half of the book is mainly targeted at undergraduate students, and the second half is suitable for graduate students and researchers who regularly conduct laboratory experiments in IR, natural language processing, recommendations, and related fields. Chapters 1–5 review parametric significance tests for comparing system means, namely, t-tests and ANOVAs, and show how easily they can be conducted using Microsoft Excel or R. These chapters also discuss a few multiple comparison procedures for researchers who are interested in comparing every system pair, including a randomised version of Tukey's Honestly Significant Difference test. The chapters then deal with known limitations of classical significance testing and provide practical guidelines for reporting research results regarding comparison of means. Chapters 6 and 7 discuss statistical power. Chapter 6 introduces topic set size design to enable test collection builders to determine an appropriate number of topics to create. Readers can easily use the author’s Excel tools for topic set size design based on the paired and two-sample t-tests, one-way ANOVA, and confidence intervals. Chapter 7 describes power-analysis-based methods for determining an appropriate sample size for a new experiment based on a similar experiment done in the past, detailing how to utilize the author’s R tools for power analysis and how to interpret the results. Case studies from IR for both Excel-based topic set size design and R-based power analysis are also provided.