Modern machine learning demands new approaches. A powerful ML workflow is more than picking the right algorithms. You also need the right tools, technology, datasets and model to brew your secret ingredient: context.
This book explores the new way of looking at machine learning – through the lens of graph technology. In particular, this excerpt takes a closer look at how graph-powered ML can be used to build hybrid, real-time recommendation engines.
Read this book excerpt to discover and learn:
The role of graph technology in machine learning applications
How graph data science enhances content-based recommendation engines
How to design a context-aware and hybrid recommendation engine, with concrete examples
How graphs provide better context to improve your ML understanding and workflow
Vertical Insider and its partners employ cookies to improve your experience on our site, to analyze traffic and performance, and to serve personalized content and advertising that are relevant to your professional interests. You can manage your preferences at any time.
Functional
Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes.The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.