Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is to rank items based on users' responses to different items to optimize for multiple objectives. Major technical challenges are high dimensional prediction with sparse data and constructing high dimensional sequential designs to collect data for user modeling and system design. This comprehensive treatment of the statistical issues that arise in recommender systems includes detailed, in-depth discussions of current state-of-the-art methods such as adaptive sequential designs (multi-armed bandit methods), bilinear random-effects models (matrix factorization) and scalable model fitting using modern computing paradigms like MapReduce. The authors draw upon their vast experience working with such large-scale systems at Yahoo! and LinkedIn, and bridge the gap between theory and practice by illustrating complex concepts with examples from applications they are directly involved with.
In an Era characterized by the pervasive influence of digital technology in every facet of our lives, the book “Human cognition: In the Digital Era” emerges as a critical exploration of the intricate relationship between Human Cognitive processes and the Digital landscape that envelops us. The aim of the book is to provide essential insights for navigating our digital future, fostering an understanding of how cognitive faculties adapt and evolve. Organized into six sections, the book delves into key topics. Section I: Digital Detox and Cognitive Rejuvenation examines the importance of disconnecting from devices to restore mental health. Section II: Digital Exposure and Learning focuses on how screen exposure affects cognitive development, especially in children, and the cognitive challenges posed by online learning post-COVID. Section III: Artificial Intelligence and Cognitive Adaptation investigates AI’s influence on decision-making, cognitive diversity, and errors in cybercrime. Section IV: Digital Interactions and Relationships explores online identity, parasocial relationships, and their impact on social cognition. Section V: Digital Marketing and Cognitive Automation analyzes the cognitive mechanisms behind consumer behavior in the digital economy. Section VI: Diverse Perspectives on Digital Engagement and Cognition highlights digital mental health interventions and smartphone usage effects on mindfulness in adolescents. This book is designed for academician, researchers, policy makers, students, and anyone interested in the profound ways digital technology is shaping human thought and behavior. This book’s unique contribution lies in its ability to foster a deeper comprehension of the transformative power of the digital era on human cognition
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