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Recommender Systems: An Introduction 1st Edition

4.7 out of 5 stars 9 customer reviews
ISBN-13: 978-0521493369
ISBN-10: 0521493366
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Editorial Reviews

Review

'Behind the modest title of 'An Introduction' lies the type of work the field needs to consolidate its learning and move forward to address new challenges. Across the chapters that follow lie both a tour of what the field knows well - a diverse collection of algorithms and approaches to recommendation - and a snapshot of where the field is today as new approaches derived from social computing and the semantic web find their place in the recommender systems toolbox. Let's all hope this worthy effort spurs yet more creativity and innovation to help recommender systems move forward to new heights.' Joseph A. Konstan, from the Foreword

Book Description

This book offers an overview of approaches to developing state-of-the-art recommender systems that automate a variety of choice-making strategies with the goal of providing affordable, personal, and high-quality recommendations. The authors present algorithmic approaches for generating personalized buying proposals, as well as more interactive and knowledge-based approaches. They discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies.
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Product Details

  • Hardcover: 352 pages
  • Publisher: Cambridge University Press; 1 edition (September 30, 2010)
  • Language: English
  • ISBN-10: 0521493366
  • ISBN-13: 978-0521493369
  • Product Dimensions: 6 x 0.8 x 9 inches
  • Shipping Weight: 1.3 pounds (View shipping rates and policies)
  • Average Customer Review: 4.7 out of 5 stars  See all reviews (9 customer reviews)
  • Amazon Best Sellers Rank: #788,896 in Books (See Top 100 in Books)

Customer Reviews

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Top Customer Reviews

Format: Hardcover Verified Purchase
I am referring to this book for my lectures and this book is fascinating.
First of all, this book is really well-written. The authors explained recommendation technology concepts in an easy-to-follow way. At the same time, they didn't miss the most up-to-date research topics.

Second, all the writers are world's leading researchers of recommendations.
Therefore, they are good to lead readers to more focal points. I like the bibliographic notes at the end of each chapter.

Lastly, by introducing toy examples in every chapter, readers are able to easily comprehend each technology. Actually, this part is my favorite. I think this book is between a reference book of recommendation-related rationales and practical programming books like Manning series or O'Reilly's.

I already made my mind to choose this book as a textbook of my course in the next semester.
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Format: Hardcover Verified Purchase
I've been studying recomender systems for my Bsc degree in the last two years and I've spent lots of money reading many other books. This book is the cheaper one on my library and I'm so pleased about the content and the way the authors explain things. I know most people doesn't like math and I believe you shouldn't read about this subject but, even if you math weaker, you can have this book.

I'm saying that because I had other books, for example:
http://www.amazon.com/gp/product/3540720782/ref=oh_details_o00_s00_i01
http://www.amazon.com/gp/product/3790821330/ref=oh_details_o01_s00_i02
http://www.amazon.com/gp/product/1933988665/ref=oh_details_o03_s00_i03
Those ones are good but didn't fulfill my desires.

Besides, it is easy to read and understand the concepts, I felt it gave me a good understand of the recomender system universe. I agree that this is the first step. But this first step is so dense that the second step seems so far away.
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Format: Kindle Edition Verified Purchase
It was a wonderful book to introduce myself to the immersive world of recommender systems. I am a software engineering student and my project work and bachelor thesis (1-1 semester) is about recommender systems. In the semester I have just finished my project work, which was about getting to know these systems, and implementing a "patient zero". This book helped me a LOT, it is best accompanied with the free presentation that one can find on the webpage of the book, the presentations give a compact overview of each chapter. After this one will be able to reason about system level decisions and to make abstract choices about the design of such systems. Highly recommended!
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Format: Hardcover
Well, I am new to the field of recommender system,
so I bought this book as the golden standard.

It is well written and quite interesting,
but for my taste it is too
theoretical and with too much focus
on e-commerce-recommenders and even customer-decision-making.

The book could have more information for that price.
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Format: Hardcover Verified Purchase
Excellent first introduction to Recommender systems. Well written and provides broad overview. However, it does not go into algorithms required to implement some of the mathematical concepts.
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