05.Dining.md

Dining (Tailored experiences)

Shares menu. Takes reservations.

With intelligence: Knows where you want to eat next.

1. Open the SQL script, the same as you opened in the previous step.

2. List the restaurants.

   Select * from restaurant

3. Click on execute.

   

4. Open SkiResort.DataGeneration.sln solution.

5. Expand the gen-recomodel project.

   geo-recomodel: given 2 inputs (restaurant list, user restaurant attendance) creates a recommendations model in the pre-built AzureML recommendations API. It uses the recommendations data service created in the first steps.

6. Opent the program.cs file.

   

   

7. Expand the geo-restaurantsearch project.

   geo-restaurantsearch runs all restaurants by the recommendations API, retrieves a list of recommended restaurants for each one, and pushes the list of recommended/related restaurants to the Azure Search index.

8. Open the program.cs file.

   

9. Go to the Azure Portal.

10. Go to the Resource Group.

11. Click on the Search Service.

    I use a Search Service in Azure.

    

12. Click on the restaurant index.

    

    I have this restaurant index that has all of the typical things you would find from a search index for restaurants.

13. Click on Search explorer.

    

14. Write grill and click on search.

    

    Try out the search index.

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