Netflix Recommends - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Netflix Recommends write by Mattias Frey. This book was released on 2021-10-05. Netflix Recommends available in PDF, EPUB and Kindle. Algorithmic recommender systems, deployed by media companies to suggest content based on users’ viewing histories, have inspired hopes for personalized, curated media but also dire warnings of filter bubbles and media homogeneity. Curiously, both proponents and detractors assume that recommender systems for choosing films and series are novel, effective, and widely used. Scrutinizing the world’s most subscribed streaming service, Netflix, this book challenges that consensus. Investigating real-life users, marketing rhetoric, technical processes, business models, and historical antecedents, Mattias Frey demonstrates that these choice aids are neither as revolutionary nor as alarming as their celebrants and critics maintain—and neither as trusted nor as widely used. Netflix Recommends brings to light the constellations of sources that real viewers use to choose films and series in the digital age and argues that although some lament AI’s hostile takeover of humanistic cultures, the thirst for filters, curators, and critics is stronger than ever.
Hands-On Recommendation Systems with Python
Hands-On Recommendation Systems with Python - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Hands-On Recommendation Systems with Python write by Rounak Banik. This book was released on 2018-07-31. Hands-On Recommendation Systems with Python available in PDF, EPUB and Kindle. With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web Key Features Build industry-standard recommender systems Only familiarity with Python is required No need to wade through complicated machine learning theory to use this book Book Description Recommendation systems are at the heart of almost every internet business today; from Facebook to Netflix to Amazon. Providing good recommendations, whether it's friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform. This book shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory—you'll get started with building and learning about recommenders as quickly as possible.. In this book, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You'll use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques With this book, all you need to get started with building recommendation systems is a familiarity with Python, and by the time you're fnished, you will have a great grasp of how recommenders work and be in a strong position to apply the techniques that you will learn to your own problem domains. What you will learn Get to grips with the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content based engine to recommend movies based on movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative fltering Who this book is for If you are a Python developer and want to develop applications for social networking, news personalization or smart advertising, this is the book for you. Basic knowledge of machine learning techniques will be helpful, but not mandatory.
Social Commerce
Social Commerce - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Social Commerce write by Efraim Turban. This book was released on 2015-11-17. Social Commerce available in PDF, EPUB and Kindle. This is a multidisciplinary textbook on social commerce by leading authors of e-commerce and e-marketing textbooks, with contributions by several industry experts. It is effectively the first true textbook on this topic and can be used in one of the following ways: Textbook for a standalone elective course at the undergraduate or graduate levels (including MBA and executive MBA programs) Supplementary text in marketing, management or Information Systems disciplines Training courses in industry Support resources for researchers and practitioners in the fields of marketing, management and information management The book examines the latest trends in e-commerce, including social businesses, social networking, social collaboration, innovations and mobility. Individual chapters cover tools and platforms for social commerce; supporting theories and concepts; marketing communications; customer engagement and metrics; social shopping; social customer service and CRM contents; the social enterprise; innovative applications; strategy and performance management; and implementing social commerce systems. Each chapter also includes a real-world example as an opening case; application cases and examples; exhibits; a chapter summary; review questions and end-of-chapter exercises. The book also includes a glossary and key terms, as well as supplementary materials that include PowerPoint lecture notes, an Instructor’s Manual, a test bank and five online tutorials.
Networked Life
Networked Life - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Networked Life write by Mung Chiang. This book was released on 2012-09-10. Networked Life available in PDF, EPUB and Kindle. How does Google sell ad space and rank webpages? How does Netflix recommend movies and Amazon rank products? How can you influence people on Facebook and Twitter and can you really reach anyone in six steps? Why doesn't the internet collapse under congestion and does it have an Achilles' heel? Why are you charged per gigabyte for mobile data and how can Skype and BitTorrent be free? How are cloud services so scalable and why is WiFi slower at hotspots than at home? Driven by twenty real-world questions about our networked lives, this book explores the technology behind the multi-trillion dollar internet and wireless industries. Providing easily understandable answers for the casually curious, alongside detailed explanations for those looking for in-depth discussion, this thought-provoking book is essential reading for students in engineering, science and economics, for network industry professionals and anyone curious about how technological and social networks really work.
Choice Hacking
Choice Hacking - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Choice Hacking write by Jennifer L. Clinehens. This book was released on 2020-06-16. Choice Hacking available in PDF, EPUB and Kindle. What if you could use Nobel prize-winning science to predict the choices your customers will make? Customer and user behaviors can seem irrational. Shaped by mental shortcuts and psychological biases, their actions often appear random on the surface. In Choice Hacking, we'll learn to predict these irrational behaviors and apply the science of decision-making to create unforgettable customer experiences. Discover a framework for designing experiences that doesn't just show you what principles to apply, but introduces a new way of thinking about customer behavior. You'll finish Choice Hacking feeling confident and ready to transform your experience with science. In Choice Hacking, you'll discover: - How to make sure your customer experience is designed for what people do (not what they say they'll do) - How to increase the odds that customers will make the "right choice" in any environment - How to design user experiences that drive action and engagement - How to create retail experiences that persuade and drive brand love - How brands like Uber, Netflix, Disney, and Starbucks apply these principles in their customer and user experiences Additional resources included with the book: - Access to free video Companion Course - Access to exclusive free resources, tools, examples, and use cases online Who will benefit from reading Choice Hacking? This book was written for anyone who wants to better understand customer and user decision-making. Whether you're a consultant, strategist, digital marketer, small business owner, writer, user experience designer, student, manager, or organizational leader, you will find immediate value in Choice Hacking. About the Author Jennifer Clinehens is currently Head of Experience at a major global experience agency. She holds a Master's degree in Brand Management as well as an MBA from Emory University's Goizueta School. Ms. Clinehens has client-side and consulting experience working for brands like AT&T, McDonald's, and Adidas, and she's helped shape customer experiences across the globe. A recognized authority in marketing and customer experience, she is also the author of CX That Sings: An Introduction To Customer Journey Mapping. To learn more about this book or contact the author, please visit ChoiceHacking.com
