Amazon calcule le classement par étoiles d’un produit à l’aide d’un modèle d’apprentissage automatique apprises au lieu de la moyenne des données brutes. Le modèle d’apprentissage automatique tient compte de différents facteurs, comme : l’ancienneté d’un commentaire, les votes d’utilité des clients et si les commentaires proviennent d’achats vérifiés.
It is very difficult to find books that deeply cover subjects, both in theory and in practice. Making websites win is one of them.
As an engineering student, I really appreciate the guys at Conversion Rate Experts because they have a scientific approach.
""Making websites win"" means to me: ""giving people what they want in a clear and simple way"". That's exactly the kind of knowledge I found in the book.
I think that the message of the book is that we must have a very deep psychological understanding of the needs and wants of our visitors. The third section of the book is excellent on this point. The tools are only there to collect data necessary to understand our visitors fully.
When you finish the book, you will have many actionable ideas to change parts of your website. At least, I had!
I would recommend the book to everyone making his own website, but also to product managers. Product managers must have a clear view of the ""big picture"", but must also use tools to collect data necessary to lead a project. This book is a must-have for them.
Finally, the contents of the book are self-explanatory, so you can jump to whatever problem you're facing at the moment and have a clear view of experts in the field.