anchor.diff:  
   ## Advanced Query
   
  -Similar to multiple items:
  +Recommend items which are similar to multiple items:
   
   ```
   curl -H "Content-Type: application/json" \
  
positive.code: - item's categories
  
  
  ## Sample Data for Quick Start
  
  For demonstration purpose, a python script is provided to import sample data for quick start. It imports 10 users (with user ID "u1" to "u10") and 50 items (with item ID "i1" to "i50") with some random assigned categories ( with categories "c1" to "c6"). Each user then randomly view 10 items.
  
  First, make sure you are under the `MySimilar` directory. Execute the following to import the data (Replace the value of access_key parameter by your **Access Key**):
  
  
negative.code: {"itemScores":[{"item":"i21","score":1.1153550716504106},{"item":"i26","score":1.0773502691896257}]}
  ```
  
  Recommend items not in the blackList:
  
  ```
  curl -H "Content-Type: application/json" \
  -d '{
    "items": ["i1", "i3"],
    "num": 10,
    "categories" : ["c4", "c3"],
    "blackList": ["i21", "i26", "i40"]
  }' \
  http://localhost:8000/queries.json
  