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检索条件"丛书名=Synthesis Lectures on Information Concepts, Retrieval, and Services"

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Word Association Thematic Analysis: A Social Media Text Exploration Strategy

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丛书名： synthesis lectures on information concepts, retrieval, and services

2021年

作者： Mike Thelwall

ISBN: (数字)9781636390666

ISBN: (纸本)9781636390673;9781636390659

Many research projects involve analyzing sets of texts from the social web or elsewhere to get insights into issues, opinions, interests, news discussions, or communication styles. For example, many studies have investigated reactions to Covid-19 social distancing restrictions, conspiracy theories, and anti-vaccine sentiment on social media. This book describes word association thematic analysis, a mixed methods strategy to identify themes within a collection of social web or other texts. It identifies these themes in the differences between subsets of the texts, including female vs. male vs. nonbinary, older vs. newer, country A vs. country B, positive vs. negative sentiment, high scoring vs. low scoring, or subtopic A vs. subtopic B. It can also be used to identify the differences between a topic-focused collection of texts and a reference collection. The method starts by automatically finding words that are statistically significantly more common in one subset than another, then identifies the context of these words and groups them into themes. It is supported by the free Windows-based software Mozdeh for data collection or importing and for the quantitative analysis stages. This book explains the word association thematic analysis method, with examples, and gives practical advice for using it. It is primarily intended for social media researchers and students, although the method is applicable to any collection of short texts.

关键词： (OCoLC)fst01741098 fast Social media. (OCoLC)fst00894934 fast Data processing. Discourse analysis (OCoLC)fst00819160 fast Association of ideas. Association of ideas. Social media. Data processing. Discourse analysis

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Third Space, information Sharing, and Participatory Design

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丛书名： synthesis lectures on information concepts, retrieval, and services

2021年

作者： Preben Hansen Ina Fourie Anika Meyer

ISBN: (数字)9781636391724

ISBN: (纸本)9781636391717;9781636391731

Society faces many challenges in workplaces, everyday life situations, and education contexts. Within information behavior research, there are often calls to bridge inclusiveness and for greater collaboration, with user-centered design approaches and, more specifically, participatory design practices. Collaboration and participation are essential in addressing contemporary societal challenges, designing creative information objects and processes, as well as developing spaces for learning, and information and research interventions. The intention is to improve access to information and the benefits to be gained from that. This also applies to bridging the digital divide and for embracing artificial intelligence. With regard to research and practices within information behavior, it is crucial to consider that all users should be involved. Many information activities (i.e., activities falling under the umbrella terms of information behavior and information practices) manifest through participation, and thus, methods such as participatory design may help unfold both information behavior and practices as well as the creation of information objects, new models, and theories. information sharing is one of its core activities. For participatory design with its value set of democratic, inclusive, and open participation towards innovative practices in a diversity of contexts, it is essential to understand how information activities such as sharing manifest itself. For information behavior studies it is essential to deepen understanding of how information sharing manifests in order to improve access to information and the use of information. Third Space is a physical, virtual, cognitive, and conceptual space where participants may negotiate, reflect, and form new knowledge and worldviews working toward creative, practical and applicable solutions, finding innovative, appropriate research methods, interpreting findings, proposing new theories, recommending next steps, and even

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Task Intelligence for Search and Recommendation

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丛书名： synthesis lectures on information concepts, retrieval, and services

2021年

作者： Chirag Shah Ryen W. White

ISBN: (数字)9781636391502

ISBN: (纸本)9781636391519;9781636391496

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 em

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Question Answering for the Curated Web: Tasks and Methods in QA over Knowledge Bases and Text Collections

Question Answering for the Curated Web: Tasks and Methods in...

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丛书名： synthesis lectures on information concepts, retrieval, and services

2021年

作者： Rishiraj Saha Roy Avishek Anand

ISBN: (数字)9781636392394

ISBN: (纸本)9781636392387;9781636392400

Question answering (QA) systems on the Web try to provide crisp answers to information needs posed in natural language, replacing the traditional ranked list of documents. QA, posing a multitude of research challenges, has emerged as one of the most actively investigated topics in information retrieval, natural language processing, and the artificial intelligence communities today. The flip side of such diverse and active interest is that publications are highly fragmented across several venues in the above communities, making it very difficult for new entrants to the field to get a good overview of the *** this book, we make an attempt towards mitigating the above problem by providing an overview of the state-of-the-art in question answering. We cover the twin paradigms of curated Web sources used in QA tasks ‒ trusted text collections like Wikipedia, and objective information distilled into large-scale knowledge bases. We discuss distinct methodologies that have been applied to solve the QA problem in both these paradigms, using instantiations of recent systems for illustration. We begin with an overview of the problem setup and evaluation, cover notable sub-topics like open-domain, multi-hop, and conversational QA in depth, and conclude with key insights and emerging topics. We believe that this resource is a valuable contribution towards a unified view on QA, helping graduate students and researchers planning to work on this topic in the near future.

关键词： Bisac category: computers information theory computers data science data modeling \u0026 design

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Automatic Disambiguation of Author Names in Bibliographic Repositories

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丛书名： synthesis lectures on information concepts, retrieval, and services

2020年

作者： Anderson A. Ferreira Marcos André Gonçalves Alberto H. F. Laender

ISBN: (数字)9781681738581

ISBN: (纸本)9781681738574;9781681738598

This book deals with a hard problem that is inherent to human language: ambiguity. In particular, we focus on author name ambiguity, a type of ambiguity that exists in digital bibliographic repositories, which occurs when an author publishes works under distinct names or distinct authors publish works under similar names. This problem may be caused by a number of reasons, including the lack of standards and common practices, and the decentralized generation of bibliographic content. As a consequence, the quality of the main services of digital bibliographic repositories such as search, browsing, and recommendation may be severely affected by author name ambiguity. The focal point of the book is on automatic methods, since manual solutions do not scale to the size of the current repositories or the speed in which they are updated. Accordingly, we provide an ample view on the problem of automatic disambiguation of author names, summarizing the results of more than a decade of research on this topic conducted by our group, which were reported in more than a dozen publications that received over 900 citations so far, according to Google Scholar. We start by discussing its motivational issues (Chapter 1). Next, we formally define the author name disambiguation task (Chapter 2) and use this formalization to provide a brief, taxonomically organized, overview of the literature on the topic (Chapter 3). We then organize, summarize and integrate the efforts of our own group on developing solutions for the problem that have historically produced state-of-the-art (by the time of their proposals) results in terms of the quality of the disambiguation results. Thus, Chapter 4 covers HHC - Heuristic-based Clustering, an author name disambiguation method that is based on two specific real-world assumptions regarding scientific authorship. Then, Chapter 5 describes SAND - Self-training Author Name Disambiguator and Chapter 6 presents two incremental author name disambiguation methods

关键词： information science \u0026 technology\/computer science\/information science \u0026 technology\/databases\/information science \u0026 technology\/computer science

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Simulating information retrieval Test Collections

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丛书名： synthesis lectures on information concepts, retrieval, and services,

2020年

作者： David Hawking Bodo Billerbeck Paul Thomas Nick Craswell

ISBN: (数字)9781681739588

ISBN: (纸本)9781681739571;9781681739595

Simulated test collections may find application in situations where real datasets cannot easily be accessed due to confidentiality concerns or practical inconvenience. They can potentially support information retrieval (IR) experimentation, tuning, validation, performance prediction, and hardware sizing. Naturally, the accuracy and usefulness of results obtained from a simulation depend upon the fidelity and generality of the models which underpin it. The fidelity of emulation of a real corpus is likely to be limited by the requirement that confidential information in the real corpus should not be able to be extracted from the emulated version. We present a range of methods exploring trade-offs between emulation fidelity and degree of preservation of privacy. We present three different simple types of text generator which work at a micro level: Markov models, neural net models, and substitution ciphers. We also describe macro level methods where we can engineer macro properties of a corpus, giving a range of models for each of the salient properties: document length distribution, word frequency distribution (for independent and non-independent cases), word length and textual representation, and corpus growth. We present results of emulating existing corpora and for scaling up corpora by two orders of magnitude. We show that simulated collections generated with relatively simple methods are suitable for some purposes and can be generated very quickly. Indeed it may sometimes be feasible to embed a simple lightweight corpus generator into an indexer for the purpose of efficiency studies. Naturally, a corpus of artificial text cannot support IR experimentation in the absence of a set of compatible queries. We discuss and experiment with published methods for query generation and query log emulation. We present a proof-of-the-pudding study in which we observe the predictive accuracy of efficiency and effectiveness results obtained on emulated versions of TREC corpora. T

关键词： bisac category: science \/ history \/ history \/ asia \/ china \/ science \/ physics \/ general

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Understanding and Evaluating Search Experience

Understanding and Evaluating Search Experience

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丛书名： synthesis lectures on information concepts, retrieval, and services

2020年

作者： Maria Stone

ISBN: (数字)9781636393339

ISBN: (纸本)9781636393322;9781636393346

This book is intended for anyone interested in learning more about how search works and how it is evaluated. We all use search—it"s a familiar utility. Yet, few of us stop and think about how search works, what makes search results good, and who, if anyone, decides what good looks like. Search has a long and glorious history, yet it continues to evolve, and with it, the measurement and our understanding of the kinds of experiences search can deliver continues to evolve, as well. We will discuss the basics of how search engines work, how humans use search engines, and how measurement works. Equipped with these general topics, we will then dive into the established ways of measuring search user experience, and their pros and cons. We will talk about collecting labels from human judges, analyzing usage logs, surveying end users, and even touch upon automated evaluation methods. After introducing different ways of collecting metrics, we will cover experimentation as it applies to search evaluation. The book will cover evaluating different aspects of search—from search user interface (UI), to results presentation, to the quality of search algorithms. In covering these topics, we will touch upon many issues in evaluation that became sources of controversy—from user privacy, to ethical considerations, to transparency, to potential for bias. We will conclude by contrasting measuring with understanding, and pondering the future of search evaluation.

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Video Structure Meaning

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丛书名： synthesis lectures on information concepts, retrieval, and services

2019年

作者： O'Connor, Brian C. Anderson, Richard L.

ISBN: (数字)9781681736488

ISBN: (纸本)9781681736471

For over a century, motion pictures have entertained us, occasionally educated us, and even served a few specialized fields of study. Now, however, with the precipitous drop in prices and increase in image quality, motion pictures are as widespread as paperback books and postcards once were. Yet, theories and practices of analysis for particular genres and analytical stances, definitions, concepts, and tools that span platforms have been wanting. Therefore, we developed a suite of tools to enable close structural analysis of the time-varying signal set of a movie. We take an information-theoretic approach (message is a signal set) generated (coded) under various antecedents (sent over some channel) decoded under some other set of antecedents. Cultural, technical, and personal antecedents might favor certain message-making systems over others. The same holds true at the recipient end fet, the signal set remains the signal set. In order to discover how movies work their structure and meaning e honed ways to provide pixel level analysis, forms of clustering, and precise descriptions of what parts of a signal influence viewer behavior. We assert that analysis of the signal set across the evolution of film rom Edison to Hollywood to Brakhage to cats on social media fields a common ontology with instantiations (responses to changes in coding and decoding antecedents).

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Interactive IR User Study Design, Evaluation, and Reporting

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丛书名： synthesis lectures on information concepts, retrieval, and services

2019年

作者： Liu, Jiqun Shah, Chirag

ISBN: (数字)9781681735801

ISBN: (纸本)9781681735795

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.

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The Practice of Crowdsourcing 1

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丛书名： synthesis lectures on information concepts, retrieval, and services

2019年

作者： Omar Alonso

ISBN: (数字)9781681735245

ISBN: (纸本)9781681735252;9781681735238

Many data-intensive applications that use machine learning or artificial intelligence techniques depend on humans providing the initial dataset, enabling algorithms to process the rest or for other humans to evaluate the performance of such algorithms. Not only can labeled data for training and evaluation be collected faster, cheaper, and easier than ever before, but we now see the emergence of hybrid human-machine software that combines computations performed by humans and machines in conjunction. There are, however, real-world practical issues with the adoption of human computation and crowdsourcing. Building systems and data processing pipelines that require crowd computing remains difficult. In this book, we present practical considerations for designing and implementing tasks that require the use of humans and machines in combination with the goal of producing high-quality labels.

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