Products related to Recommendation:
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Recommendation Engines
How companies like Amazon and Netflix know what “you might also like”: the history, technology, business, and social impact of online recommendation engines.Increasingly, our technologies are giving us better, faster, smarter, and more personal advice than our own families and best friends.Amazon already knows what kind of books and household goods you like and is more than eager to recommend more; YouTube and TikTok always have another video lined up to show you; Netflix has crunched the numbers of your viewing habits to suggest whole genres that you would enjoy.In this volume in the MIT Press's Essential Knowledge series, innovation expert Michael Schrage explains the origins, technologies, business applications, and increasing societal impact of recommendation engines, the systems that allow companies worldwide to know what products, services, and experiences “you might also like.”Schrage offers a history of recommendation that reaches back to antiquity's oracles and astrologers; recounts the academic origins and commercial evolution of recommendation engines; explains how these systems work, discussing key mathematical insights, including the impact of machine learning and deep learning algorithms; and highlights user experience design challenges.He offers brief but incisive case studies of the digital music service Spotify; ByteDance, the owner of TikTok; and the online personal stylist Stitch Fix.Finally, Schrage considers the future of technological recommenders: Will they leave us disappointed and dependent—or will they help us discover the world and ourselves in novel and serendipitous ways?
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A Gentle Noble's Vacation Recommendation, Volume 10
When Lizel mysteriously finds himself in a city that bears odd similarities to his own but clearly isn't, he quickly comes to terms with the unlikely truth: this is an entirely different world.Even so, laid-back Lizel isn't the type to panic. He immediately sets out to learn more about this strange place, and to help him do so, hires a seasoned adventurer named Gil as his tour guide and protector. Until he's able to find a way home, Lizel figures this is a perfect opportunity to explore a new way of life adventuring as part of a guild.After all, he's sure he'll go home eventually... might as well enjoy the otherworldly vacation for now!
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Computing Taste : Algorithms and the Makers of Music Recommendation
Meet the people who design the algorithms that capture our musical tastes. The people who make music recommender systems have lofty goals: they want to broaden listeners’ horizons and help obscure musicians find audiences, taking advantage of the enormous catalogs offered by companies like Spotify, Apple Music, and Pandora.But for their critics, recommender systems seem to embody all the potential harms of algorithms: they flatten culture into numbers, they normalize ever-broadening data collection, and they profile their users for commercial ends.Drawing on years of ethnographic fieldwork, anthropologist Nick Seaver describes how the makers of music recommendation navigate these tensions: how product managers understand their relationship with the users they want to help and to capture; how scientists conceive of listening itself as a kind of data processing; and how engineers imagine the geography of the world of music as a space they care for and control. Computing Taste rehumanizes the algorithmic systems that shape our world, drawing attention to the people who build and maintain them.In this vividly theorized book, Seaver brings the thinking of programmers into conversation with the discipline of anthropology, opening up the cultural world of computation in a wide-ranging exploration that travels from cosmology to calculation, myth to machine learning, and captivation to care.
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Working with Actors : Meisner Technique for Directors and Actors
Working with Actors provides the key to unlocking the honest, dynamic performance every actor has within them.It offers a well-articulated formulation of the Meisner Technique easy for directors and actors to use within a working context. Through setting out an accessible training programme for practitioners working across stage and screen, this book establishes a clear-cut route to building a three-dimensional character in an organic, non-intellectual fashion, based squarely on the character’s objectives. Few books in this field venture out of the training studio, while in this book - alongside offering an intense and concentrated Meisner training programme - the focus is more on the ‘pay-off’: the collaborative act of developing the role and how that plays out in rehearsal and performance. Beyond that, the books uniquely offers:> a new modality for script reading, analysis and rehearsal through which the character is born in relation to other characters;> a prioritisation of the key skills for coming alive in the moment – listening and putting one’s attention wholly on the other character/actor;> a historical perspective on how Meisner’s methods have evolved and why they provide the basis of truthful acting;> for directors, a format for analysis of the complete work based on Stanislavskian principles; > for actors, complementary methods, such as Uta Hagen’s ‘endowment’, to enhance the ‘reality of doing’
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Search for a recommendation.
I recommend using a combination of online search engines and review websites to find recommendations for the product or service you are looking for. Look for reputable sources such as consumer reports, industry experts, and customer reviews to get a well-rounded view of the options available. Additionally, consider reaching out to friends, family, and colleagues for their personal recommendations based on their experiences. By gathering information from multiple sources, you can make a more informed decision.
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What is your recommendation?
My recommendation would be to carefully consider all the options available to you and weigh the pros and cons of each. It's important to prioritize your needs and goals when making a decision. Additionally, seeking advice from trusted sources or professionals in the field can provide valuable insights to help you make an informed choice. Ultimately, trust your instincts and choose the option that aligns best with your values and objectives.
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What is recommendation 795?
Recommendation 795 is a guideline issued by the International Labour Organization (ILO) concerning the protection of workers' personal data. It emphasizes the importance of safeguarding workers' privacy and ensuring that their personal data is collected and processed in a fair and transparent manner. The recommendation also calls for measures to be put in place to prevent the misuse of personal data and to provide workers with the necessary information and tools to exercise their data protection rights. Overall, Recommendation 795 aims to promote a safe and secure working environment where workers' personal data is respected and protected.
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What is Recommendation 798?
Recommendation 798 is a set of guidelines developed by the International Labour Organization (ILO) to promote the development and implementation of employment policies that support full, productive, and freely chosen employment for all. It emphasizes the importance of creating an enabling environment for job creation, promoting equal opportunities and treatment in employment, and ensuring social protection for all workers. Recommendation 798 also encourages member states to work towards eliminating discrimination in employment and to promote the rights of workers to organize and bargain collectively.
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Writing Recommendation Letters : The Discourse of Evaluation in Academic Settings
Even though reading and writing recommendation letters is one of the essential service tasks of the professorial life of academics, there are few resources to train graduate students and junior academics on how to draft a successful recommendation letter for different academic purposes.Writing Recommendation Letters draws linguistic and rhetorical principles from close to a thousand real-world examples of academic letters of recommendation.As a result, the research that informs the pedagogy is extensive, current, and highly relevant to the discourse of evaluation in academic settings with findings that have implications for genre-based writing instruction, English for Academic Purposes (EAP), and teaching of academic literacies.The authors are two experienced college professors who regularly teach graduate students and mentor young academics, so the reflection questions and instructor suggestions they provide were designed for today’s university classroom.The result is an instructive book that translates academic discourse structures and principles into accessible language, supplying authentic examples and ample writing practice. Key FeaturesReaders will learn the theoretical context that defines the genre of letters of recommendation.The book highlights the similarities and differences between the three different types of letters of recommendation: letters written for graduate admission, letters written in support of fellowship applications, and letters written to support obtaining a faculty position.Chapters on different aspects of linguistic and rhetorical features discuss presenting the applicants' credentials, highlighting the strengths of their character, accentuating and downplaying certain traits, as well as the pros and cons of boilerplate language and the use of customary frames for opening and closing. Readers will see real-world examples of actual letters of recommendation to see how seasoned faculty build the case for the applicant.
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AmScope Adapter Combination - Canon Camera to AmScope RMS objective Macro Photography Recommendation
AmScope Adapter Combination - Canon Camera to AmScope RMS objective Macro Photography Recommendation
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Script Analysis for Actors, Directors, and Designers
Script Analysis for Actors, Directors, and Designers, Seventh Edition, teaches the skills of script analysis using a formalist approach that examines the written part of a play to evaluate its potentials for performance and production. This new edition features new and revised content, including an analysis of two new plays, Kalidasa’s Shakuntala and Federico Garcia Lorca’s The House of Bernarda Alba; information for the theatre designer integrated in chapters throughout the book; and an expanded appendix on critical approaches to script analysis.Explorations of both classic and unconventional plays are combined with clear examples, end-of-chapter summaries, and stimulating questions that will allow actors, directors, and designers to immediately incorporate the concepts and processes into their theatre production work. An excellent resource for students of acting, script analysis, directing, playwriting, and stage design courses, this book provides the tools to effectively bring a script to life on stage.
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Building Recommendation Systems in Python and Jax : Hands-On Production Systems at Scale
Implementing and designing systems that make suggestions to users are among the most popular and essential machine learning applications available.Whether you want customers to find the most appealing items at your online store, videos to enrich and entertain them, or news they need to know, recommendation systems (RecSys) provide the way. In this practical book, authors Bryan Bischof and Hector Yee illustrate the core concepts and examples to help you create a RecSys for any industry or scale.You'll learn the math, ideas, and implementation details you need to succeed.This book includes the RecSys platform components, relevant MLOps tools in your stack, plus code examples and helpful suggestions in PySpark, SparkSQL, FastAPI, Weights & Biases, and Kafka. You'll learn:The data essential for building a RecSysHow to frame your data and business as a RecSys problemWays to evaluate models appropriate for your systemMethods to implement, train, test, and deploy the model you chooseMetrics you need to track to ensure your system is working as plannedHow to improve your system as you learn more about your users, products, and business case
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Can you give me a recommendation for movies on Amazon Prime?
Sure! If you're a fan of action movies, I recommend checking out "John Wick" starring Keanu Reeves. For a gripping thriller, "Gone Girl" is a must-watch. If you're in the mood for a heartwarming comedy, "The Big Sick" is a great choice. And for those who enjoy thought-provoking dramas, "Manchester by the Sea" is a highly acclaimed film worth watching.
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What is your perfume recommendation?
My perfume recommendation would be Chanel Chance Eau Tendre. It is a fresh and floral scent that is perfect for everyday wear. The notes of grapefruit, quince, jasmine, and white musk create a delicate and feminine fragrance that is both elegant and long-lasting. It is a versatile perfume that can be worn year-round and is sure to receive compliments wherever you go.
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What is your purchase recommendation?
Based on the features and benefits of the product, I would recommend purchasing the smartwatch. It offers a wide range of functionalities such as fitness tracking, notifications, and music control, making it a versatile and convenient device. Additionally, the sleek design and long battery life make it a great option for everyday use. Overall, the smartwatch provides great value for its price and would be a worthwhile investment for anyone looking to enhance their daily activities.
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What is your app recommendation?
I recommend using the app "Todoist" for task management and productivity. It allows you to create to-do lists, set reminders, and prioritize tasks, helping you stay organized and focused. The app is user-friendly, available on multiple devices, and offers features like project organization and collaboration with others. Overall, Todoist is a great tool for increasing productivity and managing your daily tasks efficiently.
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