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Build a Google Assistant App with DialogFlow

Making your DialogFlow action smarter by editing the training phrases from the users usage

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Every person is different, and each one will have their own way of expressing themselves. For that reason, it's quite hard to cover all the possible phrases that the users might use to represent an intent.
In those cases, when the phrase isn't mapped to an intent, the fallback intent will be called.
DialogFlow will store all the phrases that were used, and display with a warning those that aren't mapped.
Then is very easy to map those phrases to your intents and make your action smarter.

Summary of content

  • Investigating the use phrases by the users
  • Mapping the phrases with the intents
  • Adding the entities for the intent
  • Testing the new training with the "Try now"

References

Training
DialogFlow

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Lessons in Build a Google Assistant App with DialogFlow

1. Introduction to Actions on Google and using the Google Assistant
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2. DialogFlow and the other available options of actions on Google
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3. Creating an Google Assistant Action with DialogFlow
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4. Creating your first DialogFlow Intent
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5. Creating Dialog Follow up intents
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6. Using the DialogFlow System Entities
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7. Creating your first DialogFlow entity
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8. Making your DialogFlow action smarter by editing the training phrases from the users usage
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9. Having a better understanding of the Welcome and Fallback intents in DialogFlow
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10. Ending your DialogFlow conversation
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11. Create a DialogFlow agent fulfillment webhook using the Inline Editor
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12. Deploying a DialogFlow fulfilment cloud function using the Firebase client
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13. Adding JavaScript code to Firebase CloudFunction for your DialogFlow action
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14. Creating a simple response to the user in JavaScript with Firebase Cloud Functions and DialogFlow
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15. Creating a BasicCard UI element response with Firebase Cloud Functions and DialogFlow
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16. Creating a Carousel of items UI element response with Firebase Cloud Functions and DialogFlow
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17. Playing a media object to the user with a Firebase Cloud Function using DialogFlow
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18. Playing media object and customising the Google's assistant voice using Speech Synthesis Markup Language on DialogFlow
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19. Accessing users restricted data by requesting permission using Firebase Cloud Function and DialogFlow
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20. Storing users data in the users storage using Firebase Cloud Functions and DialogFlow
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21. Reading the stored data in the user storage using Firebase Cloud Functions and DialogFlow
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22. Detecting, interacting and sending conversations between surfaces using Firebase Cloud Functions and DialogFlow
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23. Debugging and fixing bugs in your Firebase Cloud Function
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24. Deploying your Google Assistant Action to testing or production
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