anchor.diff:  
   ## 6. Use the Engine
   
  -Now, You can try to retrieve predicted results. To recommend 4 movies to user
  +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 of the recommended movies. Simply send a query
  -by making a 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 SDK to send the query:
  +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">
  
positive.code: 
  <%= 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/)
  
  ## 5. Deploy the Engine as a Service
  
  
negative.code: - user 'rate' item events
  - user 'buy' item events
  
  NOTE: You can customize this engine to use other events.
  
  ### Input Query
  
  - user ID
  - number of recommended items
  
  ### Output PredictedResult
  
  