anchor.diff:  
   <%= partial 'shared/quickstart/query_eventserver_short' %>
   
  -INFO: By default, the template train the model with "rate" events (explicit rating). You can customize the engine to [read other custom events](/templates/recommendation/reading-custom-events/) and [handle events of implicit preference (such as, view, buy)](/templates/recommendation/training-with-implicit-preference/)
  +INFO: By default, the template trains the model with "rate" events (explicit rating). You can customize the engine to [read other custom events](/templates/recommendation/reading-custom-events/) and [handle events of implicit preference (such as, view, buy)](/templates/recommendation/training-with-implicit-preference/)
   
   ## 5. Deploy the Engine as a Service
   
  
positive.code: 
  <%= partial 'shared/quickstart/import_sample_data' %>
  
  A Python import script `import_eventserver.py` is provided in the template to import the data to
  Event Server using Python SDK. Please upgrade to the latest Python SDK.
  
  <%= partial 'shared/quickstart/install_python_sdk' %>
  
  
negative.code: 
  ## 6. Use the Engine
  
  Now, you can try to retrieve predicted results. To recommend 4 movies to a user
  whose id is 1, you send this JSON `{ "user": "1", "num": 4 }` to the deployed
  engine and it will return a JSON result of the recommended movies. Simply send a query
  by making an HTTP request or through the `EngineClient` of an SDK.
  
  With the deployed engine running, open another terminal and run the following `curl` command or use an SDK to send the query:
  
  <div class="tabs">
    <div data-tab="REST API" data-lang="json">
  