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Recommendation Engines (The Mit Press Essential Knowledge Series),Used
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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 Dependentor Will They Help Us Discover The World And Ourselves In Novel And Serendipitous Ways?
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the page count of this book? A: The book has two hundred ninety-six pages. This makes it a substantial read, providing in-depth insights into recommendation engines.
- Q: What size is this book? A: The dimensions of the book are five point zero eight inches in length, zero point eight three inches in width, and seven point zero one inches in height. Its compact size makes it easy to handle.
- Q: What type of binding does this book have? A: This book is paperback bound. This type of binding is flexible and lightweight, perfect for casual reading.
- Q: Who is the author of this book? A: The author is Michael Schrage. He is known for his expertise in innovation and technology.
- Q: What is the main topic of this book? A: The book discusses the history and impact of recommendation engines. It explores how companies use these systems to suggest products and services.
- Q: Is this book suitable for beginners in technology? A: Yes, this book is suitable for beginners. It explains complex concepts in an accessible manner, making it easy to understand.
- Q: Is this book appropriate for younger audiences? A: While the book is not specifically targeted at younger audiences, it can be suitable for high school students interested in technology. The themes are educational but may require some background knowledge.
- Q: Can I read this book in one sitting? A: Yes, many readers can finish this book in one sitting. Its engaging content and moderate length make it a quick read.
- Q: What are some key themes in this book? A: Key themes include the evolution of recommendation systems and their societal impact. The book also delves into user experience and case studies.
- Q: How should I store this book? A: Store this book in a dry, cool place away from direct sunlight. This helps preserve the quality of the paperback binding.
- Q: What if my book arrives damaged? A: If your book arrives damaged, you should contact customer service for a replacement. Most retailers have policies for damaged goods.
- Q: How do I clean this book if it gets dirty? A: To clean the book, gently wipe the cover with a soft, dry cloth. Avoid using water or cleaning solutions that may damage the paper.
- Q: Is there a warranty for this book? A: Books typically do not come with a warranty. However, check the retailer's return policy for any guarantees.
- Q: Can this book be used as a textbook? A: Yes, it can be used as a supplemental textbook. Its informative content makes it a suitable resource for courses on technology and innovation.
- Q: What should I do if I have trouble understanding the content? A: If you have trouble understanding the content, consider discussing it with peers or looking for supplementary resources online. Discussion can enhance comprehension.
- Q: Are there any case studies included in this book? A: Yes, the book includes case studies of companies like Spotify and TikTok. These case studies provide practical examples of recommendation engines in action.