Book Image

Learning Microsoft Cognitive Services - Second Edition

By : Leif Larsen
Book Image

Learning Microsoft Cognitive Services - Second Edition

By: Leif Larsen

Overview of this book

Microsoft has revamped its Project Oxford to launch the all new Cognitive Services platform-a set of 30 APIs to add speech, vision, language, and knowledge capabilities to apps. This book will introduce you to 24 of the APIs released as part of Cognitive Services platform and show you how to leverage their capabilities. More importantly, you'll see how the power of these APIs can be combined to build real-world apps that have cognitive capabilities. The book is split into three sections: computer vision, speech recognition and language processing, and knowledge and search. You will be taken through the vision APIs at first as this is very visual, and not too complex. The next part revolves around speech and language, which are somewhat connected. The last part is about adding real-world intelligence to apps by connecting them to Knowledge and Search APIs. By the end of this book, you will be in a position to understand what Microsoft Cognitive Service can offer and how to use the different APIs.
Table of Contents (19 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Providing personalized recommendations


If you run an e-commerce site, a feature that is nice to have is recommendations. Using the Recommendation API, you can easily add this. Utilizing Microsoft Azure Machine Learning, the API can be trained to recognize items that should be recommended.

There are three common scenarios for recommendations:

  • Frequently Bought Together (FBT): FBT is the scenario where items that are often bought together with other items are recommended. An example of this is if you buy a mouse; the API will then recommend a keyboard.
  • Item to Item Recommendations (I2I): I2I is the scenario where certain items are often viewed after other items. Typically, this will be in the form of people who visited this item also visited this other item.
  • Customer to Item Recommendations (U2I): U2I is the scenario where you utilize a customer's previous actions to recommend items. If you sell movies, you can recommend other movies based on a customer's previous movie choices.

The general steps...