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Technical And Regulatory Perspectives On Information Retrieval And Recommender Systems - Fairness, Transparency, And Privacy

by Elisabeth Lex, Markus Schedl e Vito Walter Anelli

~~202,77€~~ 182,49€ 10% OFF

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 This book provides an in-depth treatment of three important topical areas related to regulatory, ethical, and technical discussions in the context of information retrieval and recommender systems (IRRSs): (1) bias, fairness, and non-discrimination, (2) transparency and explainability, and (3) privacy and security.
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Dive Into Misinformation Detection - From Unimodal To Multimodal And Multilingual Misinformation Detection

by Asif Ekbal e Rina Kumari

~~135,18€~~ 121,66€ 10% OFF

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 This book delivers a brief introduction to misinformation, and various novel approaches for solving misinformation detection problems.
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Probabilistic Indexing For Information Search And Retrieval In Large Collections Of Handwritten Text Images

by Alejandro Hector Toselli, Enrique Vidal e Joan Puigcerver

~~216,29€~~ 194,66€ 10% OFF

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 This book provides a comprehensive presentation of a recently introduced framework, named "probabilistic indexing" (PrIx), for searching text in large collections of document images and other related applications.
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Information Access In The Era Of Generative Ai

~~211,34€~~ 190,21€ 10% OFF

 <p>Generative Artificial Intelligence (GenAI) has emerged as a groundbreaking technology that promises to revolutionize many industries as well as people’s personal and professional lives. This book discusses GenAI and its role in information access - often referred to as Generative Information Retrieval (GenIR) - or more broadly, information interaction.</p><p>The role of GenAI in information access is complex and dynamic, with many dimensions. To address this, following a brief introduction to GenAI and GenIR, the remainder of the book provides eight chapters, each targeting a different dimension or sub-topic. These cover foundations of GenIR, interactions with GenIR systems, adapting them to users, tasks, and scenarios, improving them based on user feedback, GenIR evaluation, the sociotechnical implications of GenAI for information access, recommendations within GenIR, and the future of information access with GenIR.</p><p>The book is targeted at graduate students and researchers interested in issues of information retrieval, access, and interactions, as well as applications of GenAI in various informational contexts. While some of the parts assume prior background in IR or AI, most others do not, making this book suitable for adoption in various classes as a primary source or as a supplementary material.</p>
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Technical And Regulatory Perspectives On Information Retrieval And Recommender Systems - Fairness, Transparency, And Privacy

by Elisabeth Lex, Markus Schedl e Vito Walter Anelli

~~198,74€~~ 178,87€ 10% OFF

 This book provides an in-depth treatment of three important topical areas related to regulatory, ethical, and technical discussions in the context of information retrieval and recommender systems (IRRSs): (1) bias, fairness, and non-discrimination, (2) transparency and explainability, and (3) privacy and security.
ENGLISH

Dive Into Misinformation Detection - From Unimodal To Multimodal And Multilingual Misinformation Detection

by Asif Ekbal e Rina Kumari

~~132,49€~~ 119,24€ 10% OFF

 This book delivers a brief introduction to misinformation, and various novel approaches for solving misinformation detection problems.
ENGLISH

Probabilistic Indexing For Information Search And Retrieval In Large Collections Of Handwritten Text Images

by Alejandro Hector Toselli, Enrique Vidal e Joan Puigcerver

~~211,34€~~ 190,21€ 10% OFF

 <p>This book provides a comprehensive presentation of a recently introduced framework, named "probabilistic indexing" (PrIx), for searching text in large collections of document images and other related applications. It fosters the development of new search engines for effective information retrieval from manuscripts which, however, lack the electronic text (transcripts) that would typically be required for such search and retrieval tasks. </p><p>The book is structured into 11 chapters and three appendices. The first two chapters briefly outline the necessary fundamentals and state of the art in pattern recognition, statistical decision theory, and handwritten text recognition. Chapter 3 presents approaches for indexing (as opposed to "spotting") each region of a handwritten text image which is likely to contain a word. Next, Chapter 4 describes models adopted for handwritten text in images, namely hidden Markov models, convolutional and recurrent neural networks and language models, and provides full details of weighted finite-state transducer (WFST) concepts and methods, needed in further chapters of the book. Chapter 5 explains the set of techniques and algorithms developed to generate image probabilistic indexes which allow for fast search and retrieval of textual information in the indexed images. Chapter 6 then presents experimental evaluations of the proposed framework and algorithms on different traditional benchmark datasets and compares them with other approaches, while Chapter 7 reviews the most popular keyword-spotting approaches. Chapter 8 explains how PrIx can support classical free-text search tools, while Chapter 9 presents new methods that use PrIx not only for searching, but also to deal with text analytics and other related natural language processing and information extraction tasks. Chapter 10 shows how the proposed solutions can be used to effectively index very large collections of handwritten document images, before Chapter 11 eventually summarizes the book and suggests promising lines of future research. The appendices detail the necessary mathematical foundations for the work and presents details of the text image collections and datasets used in the experiments throughout the book.</p><p>This book is written for researchers and (post-)graduate students in pattern recognition and information retrieval. It will also be of interest to people in areas like history, criminology, or psychology who need technical support to evaluate, understand or decode historical or contemporary handwritten text.</p><p></p>
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Learning To Quantify

by Alejandro Moreo, Alessandro Fabris, Andrea Esuli e Fabrizio Sebastiani

3,96€ + 10% CARD

 <p>This open access book provides an introduction and an overview of learning to quantify (a.k.a. "quantification"), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data science, learning to quantify is a task of its own related to classification yet different from it, since estimating class proportions by simply classifying all data and counting the labels assigned by the classifier is known to often return inaccurate ("biased") class proportion estimates.</p><p>The book introduces learning to quantify by looking at the supervised learning methods that can be used to perform it, at the evaluation measures and evaluation protocols that should be used for evaluating the quality of the returned predictions, at the numerous fields of human activity in which the use of quantification techniques may provide improved results with respect to the naive use of classification techniques, and at advanced topics in quantification research.</p><p>The book is suitable to researchers, data scientists, or PhD students, who want to come up to speed with the state of the art in learning to quantify, but also to researchers wishing to apply data science technologies to fields of human activity (e.g., the social sciences, political science, epidemiology, market research) which focus on aggregate ("macro") data rather than on individual ("micro") data.</p><br><p></p><p><br></p>
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Neural Approaches To Conversational Information Retrieval

by Chenyan Xiong, Jianfeng Gao, Nick Craswell e Paul Bennett

185,49€ + 10% CARD

 <p>This book surveys recent advances in Conversational Information Retrieval (CIR), focusing on neural approaches that have been developed in the last few years. Progress in deep learning has brought tremendous improvements in natural language processing (NLP) and conversational AI, leading to a plethora of commercial conversational services that allow naturally spoken and typed interaction, increasing the need for more human-centric interactions in IR.</p><p>The book contains nine chapters. Chapter 1 motivates the research of CIR by reviewing the studies on how people search and subsequently defines a CIR system and a reference architecture which is described in detail in the rest of the book. Chapter 2 provides a detailed discussion of techniques for evaluating a CIR system - a goal-oriented conversational AI system with a human in the loop. Then Chapters 3 to 7 describe the algorithms and methods for developing the main CIR modules (or sub-systems). In Chapter 3, conversational document search is discussed, which can be viewed as a sub-system of the CIR system. Chapter 4 is about algorithms and methods for query-focused multi-document summarization. Chapter 5 describes various neural models for conversational machine comprehension, which generate a direct answer to a user query based on retrieved query-relevant documents, while Chapter 6 details neural approaches to conversational question answering over knowledge bases, which is fundamental to the knowledge base search module of a CIR system. Chapter 7 elaborates various techniques and models that aim to equip a CIR system with the capability of proactively leading a human-machine conversation. Chapter 8 reviews a variety of commercial systems for CIR and related tasks. It first presents an overview of research platforms and toolkits which enable scientists and practitioners to build conversational experiences, and continues with historical highlights and recent trends in a range of application areas. Chapter 9eventually concludes the book with a brief discussion of research trends and areas for future work.</p><p> The primary target audience of the book are the IR and NLP research communities. However, audiences with another background, such as machine learning or human-computer interaction, will also find it an accessible introduction to CIR.</p>
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Behavioral Economics Approach To Interactive Information Retrieval - Understanding And Supporting Boundedly Rational Users

by Jiqun Liu

184,84€ + 10% CARD

 This book brings together the insights from three different areas, <i>Information Seeking and Retrieval</i>, <i>Cognitive Psychology</i>, and <i>Behavioral Economics</i>, 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.<div><br></div><div>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 preliminaryresearch 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.</div><div><br></div><div>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 <i>bias-aware</i> 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.</div>
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Hardware Supply Chain Security - Threat Modelling, Emerging Attacks And Countermeasures

148,70€ + 10% CARD

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 This book presents a new threat modelling approach that specifically targets the hardware supply chain, covering security risks throughout the lifecycle of an electronic system.
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Laboratory Experiments In Information Retrieval - Sample Sizes, Effect Sizes, And Statistical Power

by Tetsuya Sakai

60,82€ + 10% CARD

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 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.
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Chambers Of Commerce In Europe - Self-Governance And Institutional Change

148,70€ + 10% CARD

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 Chambers of commerce are omnipresent in domestic public policy and play a crucial role in business self-governance. The contributions discuss chambers of commerce as interest groups and actors in political systems, and address the institutional changes that this kind of self-governance is undergoing.
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Information Retrieval Evaluation In A Changing World - Lessons Learned From 20 Years Of Clef

135,18€ + 10% CARD

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 This volume celebrates the twentieth anniversary of CLEF - the Cross-Language Evaluation Forum for the first ten years, and the Conference and Labs of the Evaluation Forum since â€" and traces its evolution over these first two decades.
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Entity-Oriented Search

by Krisztian Balog

3,96€ + 10% CARD

 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)â€"a process known as semantic search.
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Data Science For Fake News - Surveys And Perspectives

by Cheng Long, Deepak P, Santhosh Kumar G e Tanmoy Chakraborty

171,59€ + 10% CARD

 <div>This book provides an overview of fake news detection, both through a variety of tutorial-style survey articles that capture advancements in the field from various facets and in a somewhat unique direction through expert perspectives from various disciplines. The approach is based on the idea that advancing the frontier on data science approaches for fake news is an interdisciplinary effort, and that perspectives from domain experts are crucial to shape the next generation of methods and tools.</div><div><br></div><div>The fake news challenge cuts across a number of data science subfields such as graph analytics, mining of spatio-temporal data, information retrieval, natural language processing, computer vision and image processing, to name a few. This book will present a number of tutorial-style surveys that summarize a range of recent work in the field. In a unique feature, this book includes perspective notes from experts in disciplines such as linguistics, anthropology, medicine and politics that will help to shape the next generation of data science research in fake news.</div><div><br></div><div>The main target groups of this book are academic and industrial researchers working in the area of data science, and with interests in devising and applying data science technologies for fake news detection. For young researchers such as PhD students, a review of data science work on fake news is provided, equipping them with enough know-how to start engaging in research within the area. For experienced researchers, the detailed descriptions of approaches will enable them to take seasoned choices in identifying promising directions for future research.</div>
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Evaluating Information Retrieval And Access Tasks - Ntcir''S Legacy Of Research Impact

3,96€ + 10% CARD

 <p>This open access book summarizes the first two decades of the NII Testbeds and Community for Information access Research (NTCIR). NTCIR is a series of evaluation forums run by a global team of researchers and hosted by the National Institute of Informatics (NII), Japan. The book is unique in that it discusses not just what was done at NTCIR, but also how it was done and the impact it has achieved. For example, in some chapters the reader sees the early seeds of what eventually grew to be the search engines that provide access to content on the World Wide Web, today’s smartphones that can tailor what they show to the needs of their owners, and the smart speakers that enrich our lives at home and on the move. We also get glimpses into how new search engines can be built for mathematical formulae, or for the digital record of a lived human life.</p><p>Key to the success of the NTCIR endeavor was early recognition that information access research is an empirical discipline and that evaluation therefore lay at the core of the enterprise. Evaluation is thus at the heart of each chapter in this book. They show, for example, how the recognition that some documents are more important than others has shaped thinking about evaluation design. The thirty-three contributors to this volume speak for the many hundreds of researchers from dozens of countries around the world who together shaped NTCIR as organizers and participants.</p>This book is suitable for researchers, practitioners, and students—anyone who wants to learn about past and present evaluation efforts in information retrieval, information access, and natural language processing, as well as those who want to participate in an evaluation task or even to design and organize one.<p></p>
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Query Understanding For Search Engines

184,84€ + 10% CARD

 <div>This book presents a systematic study of practices and theories for query understanding of search engines. These studies can be categorized into three major classes. The first class is to figure out what the searcher wants by extracting semantic meaning from the searcher’s keywords, such as query classification, query tagging, and query intent understanding. The second class is to analyze search queries and then translate them into an enhanced query that can produce better search results, such as query spelling correction or query rewriting. The third class is to assist users in refining or suggesting queries in order to reduce users’ search effort and satisfy their information needs, such as query auto-completion and query suggestion.</div><div><br></div>Query understanding is a fundamental part of search engines. It is responsible to precisely infer the intent of the query formulated by the search user, to correct spelling errors in his/her query, to reformulate the query to capture its intent more accurately, and to guide the user in formulating a query with precise intent.<div><br></div><div>The book will be invaluable to researchers and graduate students in computer or information science and specializing in information retrieval or web-based systems, as well as to researchers and programmers working on the development or improvement of products related to search engines.</div>
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Information Retrieval Evaluation In A Changing World - Lessons Learned From 20 Years Of Clef

131,84€ + 10% CARD

 This volume celebrates the twentieth anniversary of CLEF - the Cross-Language Evaluation Forum for the first ten years, and the Conference and Labs of the Evaluation Forum since â€" and traces its evolution over these first two decades.
ENGLISH

Information Retrieval Evaluation In A Changing World - Lessons Learned From 20 Years Of Clef

189,25€ + 10% CARD

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 This volume celebrates the twentieth anniversary of CLEF - the Cross-Language Evaluation Forum for the first ten years, and the Conference and Labs of the Evaluation Forum since â€" and traces its evolution over these first two decades.
ENGLISH

Introduction To Information Retrieval And Quantum Mechanics

by Massimo Melucci

121,66€ + 10% CARD

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 This book introduces the quantum mechanical framework to information retrieval scientists seeking a new perspective on foundational problems.
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Entity-Oriented Search

by Krisztian Balog

60,82€ + 10% CARD

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 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)â€"a process known as semantic search.
ENGLISH

Laboratory Experiments In Information Retrieval - Sample Sizes, Effect Sizes, And Statistical Power

by Tetsuya Sakai

59,61€ + 10% CARD

 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.
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Social Information Seeking - Leveraging The Wisdom Of The Crowd

by Chirag Shah

135,18€ + 10% CARD

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 This volume summarizes the authorâ€™s work on social information seeking (SIS), and at the same time serves as an introduction to the topic. Sometimes also referred to as social search or social information retrieval, this is a relatively new area of study concerned with the seeking and acquiring of information from social spaces on the Internet.
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