Recommender Systems: An Introduction

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!

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_i01http://www.amazon.com/gp/product/3790821330/ref=oh_details_o01_s00_i02http://www.amazon.com/gp/product/1933988665/ref=oh_details_o03_s00_i03Those 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.

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.

This review has nothing against the content the actual authors published since I have not seen it. I bought this book in Dec 2016 but didn't actually look at it until this past week. It made me laugh at first but literally the book I have has the hard cover for this Recommender Systems book but the internals of the book are totally about Climate Change research instead of the desired material.. Totally a different book inside! Ridiculous.And I can't tell at the moment if I am even able to exchange this book for a new one at this point, meaning I could be stuck with a totally bogus $80 book that I had bought new previously!This screw up is definitely one on Amazon's side and I will try to get this resolved if possible. Very frustrating.

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.

The book is a good introduction to the main topics related to recommender systems. It covers the main problems and issues related to recommendation.

Actually it gives you some basic vision in the field. Chapters are easy readable also. Every person who interested in recommendation field should have this book.

This book has a broad introduction to recommender systems for the novice, and goes into depth for people who have more background.

Posso dire senza ombra di dubbio di aver trovato questo libro molto, ma molto interessante.Senza entrare troppo nel dettaglio dei singoli contenuti, posso dire che metà testo descrive le tipologie di sistemi, mentre l'altra metà affronta aspetti più avanzati come le valutazioni, le "explaination", gli attacchi, i processi decisionali e le evoluzioni legate ai servizi web di prossima generazione e ai sistemi "obiqui".Quanto trattato nel testo è sempre ben corredato da materiale aggiuntivo, come esempi, casi di studio e reference esterne.Quattro stelle (e non cinque) perché il prezzo è un po' alto, nonostante il testo risulti paradossalmente "economico" in conronto ad altri che trattano gli stessi argomenti.

Un libro davvero ottimo. Offre un'interessante panoramica sui Recommender System anche in maniera abbastanza dettagliata per essere solamente un'introduzione. Oltretutto è scritto in un inglese facilmente comprensibile.

Very good book, as I was a beginner

Easy to read.