Best-practices, tactical and practical approaches, and personal experiences, learnings, and insights.
I'm a scientist, agile e-sports enthusiast, and an entrepreneur. In other words, I'm curious to discover how things are connected and play out, create methods to reproduce results and improve, and systematize approaches. I love to exchange, discuss, and combine ideas with others. The best way to start is by writing it down and sharing it. That's how I create (not write) my books.
API PRODUCT MANAGEMENT -
PRODUCT STRATEGY AND EXECUTION FOR THE DIGITAL ECONOMY
by Amancio Bouza and Andrea Zulian
The API Product Management book is the state-of-the-art guide to creating, launching, and running API products that customers love. In this book, we offer best-practices, tactical and practical approaches, and real-world examples. It helps you to adapt it in your context.
HYPOTHESIS-BASED COLLABORATIVE FILTERING - RETRIEVING LIKE-MINDED INDIVIDUALS BASED ON THE COMPARISON OF HYPOTHESIZED PREFERENCES
by Amancio Bouza
In my Ph.D. thesis, I offer the scientific foundation and framework for hyper-personalization based on machine learning. More specifically, it provides the foundation for using machine learning to learn a person's preferences and predict best product recommendations. Further, it provides the framework for computing similarity of machine learning models that can be applied to collaborative filtering-based recommender systems.
Do you want to learn more or have any questions or feedback? Let's get in touch.