anchor.diff:  
   $client = new EngineClient('http://localhost:8000');
   
  -$response = $client->sendQuery(array('items'=> 'i1', 'num'=> 4));
  +$response = $client->sendQuery(array('items'=> array('i1'), 'num'=> 4));
   print_r($response);
   
   ?>
   ```
     </div>
     <div data-tab="Ruby SDK" data-lang="ruby">
  -    (TODO: UPDATE ME)
  +
   ```ruby
   # Create client object.
  -client = PredictionIO::EngineClient.new(<ENGINE DEPLOY URL>)
  +client = PredictionIO::EngineClient.new('http://localhost:8000')
   
   # Query PredictionIO.
  -response = client.send_query('items' => <USER ID>, 'num' => <NUMBER (integer)>)
  +response = client.send_query('items' => ['i1'], 'num' => 4)
   
   puts response
   ```
     </div>
     <div data-tab="Java SDK" data-lang="java">
  -    (TODO: UPDATE ME)
  +
   ```java
   import com.google.common.collect.ImmutableMap;
  +import com.google.common.collect.ImmutableList;
   import com.google.gson.JsonObject;
   
   import io.prediction.EngineClient;
   
   // create client object
  -EngineClient engineClient = new EngineClient(<ENGINE DEPLOY URL>);
  +EngineClient engineClient = new EngineClient('http://localhost:8000');
   
   // query
  +
   JsonObject response = engineClient.sendQuery(ImmutableMap.<String, Object>of(
  -        "user", "1",
  +        "items", ImmutableList.of("i1"),
           "num",  4
       ));
   ```
  
positive.code: Similarity is not defined by text description but by users' previous actions. By default, it uses 'view' action such that product A and B are considered similar if most users who view A also view B.
  
  This template is ideal for recommending products to customers based on their recent actions.
  Use the IDs of the recently viewed products of a customer as the *Query*, 
  the engine will predict other products that this customer may also like.
  
  This approach works perfectly for customers who are **first-time visitors** or have not signed in.
  Recommendations are made dynamically in *real-time* based on the most recently product preference you provide in the *Query*. 
  You can, therefore, recommend products to visitors without knowing a long history about them.
  
  You can also use this template to build the popular feature of Amazon: **"Customers Who Viewed This Item Also Viewed..."** quickly.
  
negative.code: ```
    </div>
    <div data-tab="PHP SDK" data-lang="php">
  ```php
  <?php
  require_once("vendor/autoload.php");
  