Download or read book Beyond Recommendation Accuracy written by Ala'a Nasir Al-slaity and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the emergence of Recommender Systems (RS), most of the research has focused on improving the capability of a recommender system to predict and provide an accurate recommendation. However, the literature has demonstrated increasing evidence that providing accurate recommendations is not sufficient to increase users' acceptance of the provided recommendations. Hence, it is vital for a recommender system to focus not only on the accuracy of the provided recommendations but also on other factors that influence the acceptance of recommendations and the extent to which these recommendations are convincing or persuasive. Consequently, there becomes a need for new research paradigms to help improve the capabilities of recommender systems, which goes beyond the recommendation accuracy. One of the recently emerged research directions that consider this need fosters the idea of adopting human-related theories from the social sciences domain, such as persuasiveness of social communication. In this context, however, a challenging, non-trivial, and not fully explored issue that arises is: how to integrate human-related theories into a recommender system to be one of its intrinsic characteristics in order to improve its performance beyond its accuracy? This thesis aims to address the above issue from two angles: first, it investigates improving recommender systems by increasing users' acceptance of the recommendations. To achieve this, the influence of persuasion principles on users of recommender systems is investigated. Then a reference architecture framework to adapt and integrate persuasion features as a substantial characteristic of recommender systems is proposed. The proposed framework, named Personalized Persuasive RS (PerPer), adopts concepts from the social sciences literature, namely personality traits and persuasion principles. In addition, PerPer adapts machine learning concepts, in particular, the Learning Automata, to support its learning capabilities. Second, the thesis discusses evaluating recommender systems beyond their accuracy. Particularly, it proposes two evaluation approaches that aim to evaluate recommender systems in a comprehensive way that goes beyond evaluating accuracy only. The first evaluation approach is called the Comprehensive Performance evaluation (ComPer). It adopts concepts from the human learning domain and provides a simple, thorough, and setting-independent evaluation approach for recommenders. The essence of ComPer is to consider a recommender system as a human being, and hence the former's outcomes (i.e., recommendations) can be evaluated and validated in a way similar to how humans' learning outcomes are evaluated. The second evaluation approach adopts goal-oriented modeling to provide an evaluation that does not only assess recommenders beyond their accuracy but also considers the multi-stakeholders of RSs. We demonstrate, empirically, and by user studies, the feasibility and usefulness of the proposed approaches. The contributions of the thesis are: (1) A characterization of recommender systems as systems supported with human traits and features, which goes beyond the conventional recommender systems known in the literature. (2) A user study that examines the impact of persuasive principles on users of recommender systems. (3) A Personalized Persuasive RS (PerPer) reference architecture framework to enrich recommender systems with persuasion capabilities that are personalized and adaptive for different users. (4) A mapping between human's cognitive skills and the recommendation process. (5) The Comprehensive Performance evaluation (ComPer) framework to provide a comprehensive assessment of recommender systems considering multiple evaluation dimensions other than accuracy. And (6) a goal-oriented evaluation approach to assess the impact of multiple alternatives for recommendation approaches on the satisfaction of RSs stakeholders' goals.
Download or read book Beyond Algorithms written by Oluwatobi Lasisi and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Several studies have applied recommender technologies to support requirements engineering activities. As in other application areas of recommender systems (RS), many studies have focused on the algorithms' prediction accuracy, while there have been limited discussions around users' interactions with the systems. Since recommender systems are designed to aid users in information retrieval, they should be assessed not just as recommendation algorithms but also from the users' perspective. In contrast to accuracy measures, user-related issues can only be effectively investigated via empirical studies involving real users. Furthermore, researchers are becoming increasingly aware that the effectiveness of the systems goes beyond recommendation accuracy, as many factors can be relevant to their adoption besides accuracy. To better understand recommender systems in RE, it has become necessary to explore them from users' perspectives. Consequently, this research evaluates a feature recommender system from users' perspectives adopting the "Recommender systems' Quality of user experience" (ResQue) model - a user-centered evaluation model from the RS field. This was done by designing a content-based feature recommender system and then assessing it from the users' view point. A between-subjects user study was conducted involving two groups of participants, an experimental and a control group. The experimental group interacted with the feature recommender system while developing a list of software requirements for a software product (an antivirus software). In contrast, the control group performed the same task without receiving support from the recommender. After completing the task, both groups completed a post-task evaluation questionnaire, including questions about their experiences and opinions about the task they completed. In addition, participants in the experimental group rated their perceptions of various aspects of the recommender; question items were adapted from the ResQue questionnaire. Users' subjective evaluation of the recommender was investigated using the ResQue constructs - perceived system qualities, user beliefs, user attitudes, and behavioral intentions. Additionally, the impact of recommendations on the requirements elicitation process was assessed in terms of the process and outcome level measures. Possible qualitative differences were also examined. Users' preferences were identified, and possible HCI issues requiring attention in recommender systems used in RE are discussed.
Download or read book Recommender Systems Handbook written by Francesco Ricci and published by Springer. This book was released on 2015-11-17 with total page 1008 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, and challenges. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition includes new topics including: decision making and recommender systems, reciprocal recommender systems, recommender systems in social networks, mobile recommender systems, explanations for recommender systems, music recommender systems, cross-domain recommendations, privacy in recommender systems, and semantic-based recommender systems. This multi-disciplinary handbook involves world-wide experts from diverse fields such as artificial intelligence, human-computer interaction, information retrieval, data mining, mathematics, statistics, adaptive user interfaces, decision support systems, psychology, marketing, and consumer behavior. Theoreticians and practitioners from these fields will find this reference to be an invaluable source of ideas, methods and techniques for developing more efficient, cost-effective and accurate recommender systems.
Download or read book WHO recommendations on induction of labour at or beyond term written by World Health Organization and published by World Health Organization. This book was released on 2022-10-06 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: The updated recommendations in this document on the timing of induction of labour supersede the previous WHO recommendations on this topic, in the 2018 publication WHO recommendations: induction of labour at or beyond term.
Download or read book Beyond Similarity and Accuracy A New Take on Automating Scientific Paper Recommendations written by Laura Steinert and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Collaborative Filtering Recommender Systems written by Michael D. Ekstrand and published by Now Publishers Inc. This book was released on 2011 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collaborative Filtering Recommender Systems discusses a wide variety of the recommender choices available and their implications, providing both practitioners and researchers with an introduction to the important issues underlying recommenders and current best practices for addressing these issues.
Download or read book Beyond Algorithms written by James Luke and published by CRC Press. This book was released on 2022-05-30 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: With so much artificial intelligence (AI) in the headlines, it is no surprise that businesses are scrambling to exploit this exciting and transformative technology. Clearly, those who are the first to deliver business-relevant AI will gain significant advantage. However, there is a problem! Our perception of AI success in society is primarily based on our experiences with consumer applications from the big web companies. The adoption of AI in the enterprise has been slow due to various challenges. Business applications address far more complex problems and the data needed to address them is less plentiful. There is also the critical need for alignment of AI with relevant business processes. In addition, the use of AI requires new engineering practices for application maintenance and trust. So, how do you deliver working AI applications in the enterprise? Beyond Algorithms: Delivering AI for Business answers this question. Written by three engineers with decades of experience in AI (and all the scars that come with that), this book explains what it takes to define, manage, engineer, and deliver end-to-end AI applications that work. This book presents: Core conceptual differences between AI and traditional business applications A new methodology that helps to prioritise AI projects and manage risks Practical case studies and examples with a focus on business impact and solution delivery Technical Deep Dives and Thought Experiments designed to challenge your brain and destroy your weekends
Download or read book Distributed Ambient and Pervasive Interactions written by Norbert A. Streitz and published by Springer Nature. This book was released on with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Probabilistic Approaches to Recommendations written by Nicola Barbieri and published by Springer. This book was released on 2014-05-23 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: The importance of accurate recommender systems has been widely recognized by academia and industry, and recommendation is rapidly becoming one of the most successful applications of data mining and machine learning. Understanding and predicting the choices and preferences of users is a challenging task: real-world scenarios involve users behaving in complex situations, where prior beliefs, specific tendencies, and reciprocal influences jointly contribute to determining the preferences of users toward huge amounts of information, services, and products. Probabilistic modeling represents a robust formal mathematical framework to model these assumptions and study their effects in the recommendation process. This book starts with a brief summary of the recommendation problem and its challenges and a review of some widely used techniques Next, we introduce and discuss probabilistic approaches for modeling preference data. We focus our attention on methods based on latent factors, such as mixture models, probabilistic matrix factorization, and topic models, for explicit and implicit preference data. These methods represent a significant advance in the research and technology of recommendation. The resulting models allow us to identify complex patterns in preference data, which can be exploited to predict future purchases effectively. The extreme sparsity of preference data poses serious challenges to the modeling of user preferences, especially in the cases where few observations are available. Bayesian inference techniques elegantly address the need for regularization, and their integration with latent factor modeling helps to boost the performances of the basic techniques. We summarize the strengths and weakness of several approaches by considering two different but related evaluation perspectives, namely, rating prediction and recommendation accuracy. Furthermore, we describe how probabilistic methods based on latent factors enable the exploitation of preference patterns in novel applications beyond rating prediction or recommendation accuracy. We finally discuss the application of probabilistic techniques in two additional scenarios, characterized by the availability of side information besides preference data. In summary, the book categorizes the myriad probabilistic approaches to recommendations and provides guidelines for their adoption in real-world situations.
Download or read book Collaborative Filtering written by Angshul Majumdar and published by CRC Press. This book was released on 2024-10-03 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book dives into the inner workings of recommender systems, those ubiquitous technologies that shape our online experiences. From Netflix show suggestions to personalized product recommendations on Amazon or the endless stream of curated YouTube videos, these systems power the choices we see every day. Collaborative filtering reigns supreme as the dominant approach behind recommender systems. This book offers a comprehensive exploration of this topic, starting with memory-based techniques. These methods, known for their ease of understanding and implementation, provide a solid foundation for understanding collaborative filtering. As you progress, you’ll delve into latent factor models, the abstract and mathematical engines driving modern recommender systems. The journey continues with exploring the concepts of metadata and diversity. You’ll discover how metadata, the additional information gathered by the system, can be harnessed to refine recommendations. Additionally, the book delves into techniques for promoting diversity, ensuring a well-balanced selection of recommendations. Finally, the book concludes with a discussion of cutting-edge deep learning models used in recommender systems. This book caters to a dual audience. First, it serves as a primer for practicing IT professionals or data scientists eager to explore the realm of recommender systems. The book assumes a basic understanding of linear algebra and optimization but requires no prior knowledge of machine learning or programming. This makes it an accessible read for those seeking to enter this exciting field. Second, the book can be used as a textbook for a graduate-level course. To facilitate this, the final chapter provides instructors with a potential course plan.
Download or read book Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021 written by Sazzad Hossain and published by Springer Nature. This book was released on 2022-10-03 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes papers in the research area of artificial intelligence, robotics and automation, IoT smart agriculture, data analysis and cloud computing, communication and technology, and signal and natural language processing. The book is a collection of research papers presented at the First International Conference on Fourth Industrial Revolution and Beyond (IC4IR 2021) organized by University Grants Commission of Bangladesh in association with IEEE Computer Society Bangladesh Chapter and Bangladesh Computer Society during December 10–11, 2021.
Download or read book Beyond Fear written by Bruce Schneier and published by Springer Science & Business Media. This book was released on 2006-05-10 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many of us, especially since 9/11, have become personally concerned about issues of security, and this is no surprise. Security is near the top of government and corporate agendas around the globe. Security-related stories appear on the front page everyday. How well though, do any of us truly understand what achieving real security involves? In Beyond Fear, Bruce Schneier invites us to take a critical look at not just the threats to our security, but the ways in which we're encouraged to think about security by law enforcement agencies, businesses of all shapes and sizes, and our national governments and militaries. Schneier believes we all can and should be better security consumers, and that the trade-offs we make in the name of security - in terms of cash outlays, taxes, inconvenience, and diminished freedoms - should be part of an ongoing negotiation in our personal, professional, and civic lives, and the subject of an open and informed national discussion. With a well-deserved reputation for original and sometimes iconoclastic thought, Schneier has a lot to say that is provocative, counter-intuitive, and just plain good sense. He explains in detail, for example, why we need to design security systems that don't just work well, but fail well, and why secrecy on the part of government often undermines security. He also believes, for instance, that national ID cards are an exceptionally bad idea: technically unsound, and even destructive of security. And, contrary to a lot of current nay-sayers, he thinks online shopping is fundamentally safe, and that many of the new airline security measure (though by no means all) are actually quite effective. A skeptic of much that's promised by highly touted technologies like biometrics, Schneier is also a refreshingly positive, problem-solving force in the often self-dramatizing and fear-mongering world of security pundits. Schneier helps the reader to understand the issues at stake, and how to best come to one's own conclusions, including the vast infrastructure we already have in place, and the vaster systems--some useful, others useless or worse--that we're being asked to submit to and pay for. Bruce Schneier is the author of seven books, including Applied Cryptography (which Wired called "the one book the National Security Agency wanted never to be published") and Secrets and Lies (described in Fortune as "startlingly lively...¦[a] jewel box of little surprises you can actually use."). He is also Founder and Chief Technology Officer of Counterpane Internet Security, Inc., and publishes Crypto-Gram, one of the most widely read newsletters in the field of online security.
Download or read book Beyond Six Billion written by National Research Council and published by National Academies Press. This book was released on 2000-09-11 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is rapid world population growth actually coming to an end? As population growth and its consequences have become front-page issues, projections of slowing growth from such institutions as the United Nations and the World Bank have been called into question. Beyond Six Billion asks what such projections really say, why they say it, whether they can be trusted, and whether they can be improved. The book includes analysis of how well past U.N. and World Bank projections have panned out, what errors have occurred, and why they have happened. Focusing on fertility as one key to accurate projections, the committee examines the transition from high, constant fertility to low fertility levels and discusses whether developing countries will eventually attain the very low levels of births now observed in the industrialized world. Other keys to accurate projections, predictions of lengthening life span and of the impact of international migration on specific countries, are also explored in detail. How good are our methods of population forecasting? How can we cope with the inevitable uncertainty? What population trends can we anticipate? Beyond Six Billion illuminates not only the forces that shape population growth but also the accuracy of the methods we use to quantify these forces and the uncertainty surrounding projections. The Committee on Population was established by the National Academy of Sciences (NAS) in 1983 to bring the knowledge and methods of the population sciences to bear on major issues of science and public policy. The committee's work includes both basic studies of fertility, health and mortality, and migration; and applied studies aimed at improving programs for the public health and welfare in the United States and in developing countries. The committee also fosters communication among researchers in different disciplines and countries and policy makers in government, international agencies, and private organizations. The work of the committee is made possible by funding from several government agencies and private foundations.
Download or read book Beyond Myalgic Encephalomyelitis Chronic Fatigue Syndrome written by Institute of Medicine and published by National Academies Press. This book was released on 2015-03-16 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Myalgic encephalomyelitis (ME) and chronic fatigue syndrome (CFS) are serious, debilitating conditions that affect millions of people in the United States and around the world. ME/CFS can cause significant impairment and disability. Despite substantial efforts by researchers to better understand ME/CFS, there is no known cause or effective treatment. Diagnosing the disease remains a challenge, and patients often struggle with their illness for years before an identification is made. Some health care providers have been skeptical about the serious physiological - rather than psychological - nature of the illness. Once diagnosed, patients often complain of receiving hostility from their health care provider as well as being subjected to treatment strategies that exacerbate their symptoms. Beyond Myalgic Encephalomyelitis/Chronic Fatigue Syndrome proposes new diagnostic clinical criteria for ME/CFS and a new term for the illness - systemic exertion intolerance disease(SEID). According to this report, the term myalgic encephalomyelitis does not accurately describe this illness, and the term chronic fatigue syndrome can result in trivialization and stigmatization for patients afflicted with this illness. Beyond Myalgic Encephalomyelitis/Chronic Fatigue Syndrome stresses that SEID is a medical - not a psychiatric or psychological - illness. This report lists the major symptoms of SEID and recommends a diagnostic process.One of the report's most important conclusions is that a thorough history, physical examination, and targeted work-up are necessary and often sufficient for diagnosis. The new criteria will allow a large percentage of undiagnosed patients to receive an accurate diagnosis and appropriate care. Beyond Myalgic Encephalomyelitis/Chronic Fatigue Syndrome will be a valuable resource to promote the prompt diagnosis of patients with this complex, multisystem, and often devastating disorder; enhance public understanding; and provide a firm foundation for future improvements in diagnosis and treatment.
Download or read book Beyond Test Scores written by Jack Schneider and published by Harvard University Press. This book was released on 2017-08-14 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Test scores are the go-to metric of policy makers and anxious parents looking to place their children in the best schools. Yet standardized tests are a poor way to measure school performance. Using the diverse urban school district of Somerville MA as a case study, Jack Schneider’s team developed a new framework to assess educational effectiveness.
Download or read book Group Recommender Systems written by Alexander Felfernig and published by Springer. This book was released on 2018-03-07 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents group recommender systems, which focus on the determination of recommendations for groups of users. The authors summarize different technologies and applications of group recommender systems. They include an in-depth discussion of state-of-the-art algorithms, an overview of industrial applications, an inclusion of the aspects of decision biases in groups, and corresponding de-biasing approaches. The book includes a discussion of basic group recommendation methods, aspects of human decision making in groups, and related applications. A discussion of open research issues is included to inspire new related research. The book serves as a reference for researchers and practitioners working on group recommendation related topics.
Download or read book Beyond Performance written by Scott Keller and published by John Wiley & Sons. This book was released on 2011-06-01 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: The secret of achieving and sustaining organizational excellence revealed In an ever-changing world where only a third of excellent organizations stay that way over the long term, and where even fewer are able to implement successful change programs, leaders are in need of big ideas and new tools to thrive. In Beyond Performance, McKinsey & Company's Scott Keller and Colin Price give you everything you need to build an organization that can execute in the short run and has the vitality to prosper over the long term. Drawing on the most exhaustive research effort of its kind on organizational effectiveness and change management, Keller and Price put hard science behind their big idea: that the health of an organization is equally as important as its performance. In the book's foreword, management guru Gary Hamel refers to this notion as "a new manifesto for thinking about organizations." The authors illustrate why copying management best practices from other companies is more dangerous than helpful Clearly explains how to determine the mutually reinforcing combination of management practices that best fits your organization's context Provides practical tools to achieve superior levels of performance and health through a staged change process: aspire, assess, architect, act, and advance. Among these are new techniques for dealing with those aspects of human behavior that are seemingly irrational (and therefore confound even the smartest leaders), yet entirely predictable Ultimately, building a healthy organization is an intangible asset that competitors copy at their peril and that enables you to skillfully adapt to and shape your environment faster than others—giving you the ultimate competitive advantage.
