Book Image

Learning Microsoft Cognitive Services

By : Leif Larsen
Book Image

Learning Microsoft Cognitive Services

By: Leif Larsen

Overview of this book

Take your app development to the next level with Learning Microsoft Cognitive Services. Using Leif's knowledge of each of the powerful APIs, you'll learn how to create smarter apps with more human-like capabilities. ? Discover what each API has to offer and learn how to add it to your app ? Study each AI using theory and practical examples ? Learn current API best practices
Table of Contents (20 chapters)
Learning Microsoft Cognitive Services
About the Author
About the Reviewer
Customer Feedback
Additional Information on Linguistic Analysis

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, as follows:

  • 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 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.