Title
Recommender Systems: An Introduction,Used
Delivery time: 8-12 business days (International)
In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and highquality recommendations. This book offers an overview of approaches to developing stateoftheart recommender systems. The authors present current algorithmic approaches for generating personalized buying proposals, such as collaborative and contentbased filtering, as well as more interactive and knowledgebased approaches. They also discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies. The final chapters cover emerging topics such as recommender systems in the social web and consumer buying behavior theory. Suitable for computer science researchers and students interested in getting an overview of the field, this book will also be useful for professionals looking for the right technology to build realworld recommender systems.
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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the main focus of 'Recommender Systems: An Introduction'? A: The book focuses on automating strategies for making choices in various contexts, such as purchasing, leisure activities, and dating, by providing insights into developing state-of-the-art recommender systems.
- Q: Who are the authors of this book? A: The authors are Dietmar Jannach and other contributors who provide expert insights into the development of recommender systems.
- Q: What topics are covered in the book? A: The book covers algorithmic approaches like collaborative filtering, content-based filtering, and knowledge-based methods, as well as measuring effectiveness and emerging topics in recommender systems.
- Q: Is this book suitable for beginners in computer science? A: Yes, the book is suitable for computer science researchers and students seeking an overview of the field of recommender systems.
- Q: What type of binding does 'Recommender Systems: An Introduction' have? A: The book is bound in hardcover, providing durability and a professional appearance.
- Q: When was 'Recommender Systems: An Introduction' published? A: The book was published on September 30, 2010.
- Q: How many pages does the book contain? A: The book contains a total of 352 pages.
- Q: Does the book include practical case studies? A: Yes, the book illustrates methods with practical case studies, enhancing understanding of recommender systems.
- Q: What is the edition of this book? A: This book is an illustrated edition.
- Q: Can professionals benefit from reading this book? A: Yes, professionals looking for the right technology to build real-world recommender systems will find valuable insights in this book.