anchor.diff:  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*, 
  +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*. 
  +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.
  
positive.code: ```
    </div>
    <div data-tab="PHP SDK" data-lang="php">
  (TODO: UPDATE ME)
  ```php
  <?php
  require_once("vendor/autoload.php");
  
negative.code: # A user views an item
  
  client.create_event(
    event="view",
    entity_type="user",
    entity_id=<USER ID>,
    target_entity_type="item",
    target_entity_id=<ITEM ID>
  )
  ```
    </div>
    <div data-tab="PHP SDK" data-lang="php">
  
  ```php
  <?php
  require_once("vendor/autoload.php");
  