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Learning Salesforce Einstein

You're reading from  Learning Salesforce Einstein

Product type Book
Published in Jun 2017
Publisher Packt
ISBN-13 9781787126893
Pages 334 pages
Edition 1st Edition
Languages
Toc

Table of Contents (10) Chapters close

Preface 1. Introduction to AI 2. Role of AI in CRM and Cloud Applications 3. Building Smarter Apps Using PredictionIO and Heroku 4. Product Recommendation Application using PredicitionIO and Salesforce App Cloud 5. Salesforce Einstein Vision 6. Building Applications Using Einstein Vision and Salesforce Force.com Platform 7. Einstein for Analytics Cloud 8. Einstein and Salesforce IoT Cloud Platform 9. Measuring and Testing the Accuracy of Einstein

Building similar Recommendation Lightning Component for App Cloud

Now that we have a knowledge of Lightning Components, we are ready to build the following two Lightning Components:

  • ProductViewCapture: This component will be placed on the detail page of the Product Object. It will send data to the Prediction Event Server whenever a user views the Product or an item
  • SimilarProductRecommender: This component is again placed on the detail page of the Product Object, and recommends similar products based on the current Product by making an API callout to the PredictionIO engine

For simplicity, we will assume that an admin will train the application using command line. In the real world, one has to automate the training and choose the best model. The Heroku Buildpack we discussed in the last section of Chapter 3, Building Smarter Apps Using PredictionIO and Heroku, can be one of...

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