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Learning Microsoft Cognitive Services

You're reading from   Learning Microsoft Cognitive Services Use Cognitive Services APIs to add AI capabilities to your applications

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789800616
Length 312 pages
Edition 3rd Edition
Languages
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Author (1):
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Leif Larsen Henning Larsen Leif Larsen Henning Larsen
Author Profile Icon Leif Larsen Henning Larsen
Leif Larsen Henning Larsen
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with Microsoft Cognitive Services 2. Analyzing Images to Recognize a Face FREE CHAPTER 3. Analyzing Videos 4. Letting Applications Understand Commands 5. Speaking with Your Application 6. Understanding Text 7. Building Recommendation Systems for Businesses 8. Querying Structured Data in a Natural Way 9. Adding Specialized Searches 10. Connecting the Pieces A. LUIS Entities B. License Information Index

Chapter 7. Building Recommendation Systems for Businesses

"By leveraging Azure Machine Learning and the Recommendations API, we have launched a new Personalized Commerce Experience for retailers that grows shopper conversion and engagement on any channel."

– Frank Kouretas, Chief Product Officer at Orckestra

In the previous chapter, we covered the remaining language APIs. In this chapter, we will look at the Recommendations Solution template. This is a template for Microsoft Azure that contains the resources required to run Recommendations Solution. This is a solution well suited for e-commerce applications, where you can recommend different items based on different criteria. Recommending items in an online store is a process that can be very time-consuming if it is done by following a rule set. The Recommendations Solution allows us to utilize the power of machine learning to get good recommendations, potentially increasing the number of sales.

This chapter will...

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