AI-Based Recommendation Systems
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AI-Based Recommendation Systems

AI-Based Recommendation Systems


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About the Book

1. Want to learn about the latest advancements in personalized recommendations? Check out #AIBasedRecommendationSystems for insights on how AI is transforming product and service recommendations!
2. Are you tired of generic product recommendations? Discover how AI is enabling personalized recommendations in #AIBasedRecommendationSystems!
3. If you're interested in the intersection of AI and e-commerce, you won't want to miss #AIBasedRecommendationSystems! Learn how personalized recommendations are revolutionizing online shopping.
4. Looking to optimize your business's recommendation system? Dive into #AIBasedRecommendationSystems for a comprehensive look at the latest AI-based recommendation techniques.
5. In today's fast-paced world, consumers expect personalized recommendations. Stay ahead of the curve with insights from #AIBasedRecommendationSystems!
AI-Based Recommendation Systems have become an essential part of modern businesses, enabling them to provide personalized product and service recommendations to their customers. These systems leverage machine learning algorithms to analyze customer data and generate accurate and effective recommendations.
The objective of this book is to provide a comprehensive overview of AI-based recommendation systems and their importance in providing personalized experiences for customers. The book explores various techniques and strategies used in AI-based recommendation systems, as well as their implementation challenges and ethical considerations.
The book is divided into multiple chapters that delve deeper into specific topics such as collaborative filtering, content-based filtering, hybrid approaches, and reinforcement learning. Additionally, the book covers contextual recommendations, real-time optimization, implementation of AI-based recommendation systems, future directions, and challenges.
Overall, this book provides a guide to AI-based recommendation systems, their techniques and strategies, implementation considerations, and future directions. By leveraging the latest techniques and strategies, businesses can provide valuable personalized experiences for their customers while also upholding principles of fairness and equity.
MingHai Zheng is the founder of zhengpublishing.com and lives in Wuhan, China. His main publishing areas are business, management, self-help, computers and other emerging foreword fields.


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Product Details
  • ISBN-13: 9798399657295
  • Publisher: Amazon Digital Services LLC - Kdp
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: Enabling Personalized Product and Service Recommendations
  • Width: 152 mm
  • ISBN-10: 8399657298
  • Publisher Date: 24 Jun 2023
  • Height: 229 mm
  • No of Pages: 126
  • Spine Width: 7 mm
  • Weight: 231 gr


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