UseCase_CrowdFunding_PythonSDK_get_itemrec.py

# You need to specify the name of the engine from which you want to retrieve the prediction results. 
# Add the following code to provide personalized recommendation to the user after the user has logged in:
  
try:
  # Retrieve top 10 recommnded projects from the item recommendation engine.
  # Assuming client.identify("user id") is already called when the user logged in.
  result = client.get_itemrec_topn("itemrec engine name", 10)
  iids = result['pio_iids'] # list of recommended project IDs
except Exception as e:
  iids = get_default_iids_list(10) # default behavior when no prediction results. eg. recommends the latest created projects
  log_error(e) # Handle error here. You may log the error for debugging.
 
display_projects(iids) # display the projects to the user