predictioniogists

let eventClient = EventClient(accessKey: accessKey, baseURL: "http://localhost:7070")
let event = Event(
  event: "view",
  entityType: "user",
  entityID: "16398de4-cd17-11e4-afdc-1681e6b88ec1",
  targetEntityType: "item",
  targetEntityID: "2274f58a-cd17-11e4-afdc-1681e6b88ec1"
)

eventClient.createEvent(event) { (request, response, JSON, error) in

predictioniogists

{
    "systeminfos": {
        "version": {
            "value": "0.6.8",
            "description": "PredictionIO version"
        },
        "jars.pdioItemrecAlgo": {
            "value": "predictionio-process-hadoop-scalding-assembly-0.6.8.jar"
        },
        "jars.pdioItemsimAlgo": {

predictioniogists

# 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

predictioniogists

# You need to specify the name of the engine from which you want to retrieve the prediction results. 
# Suggest similar viewed projects 
try:
  # retreive top 5 similar viewed projects
  result = client.get_itemsim_topn("itemsim-view", "the project ID", 5)
  iids = result['pio_iids'] # list of recommended project IDs
except Exception as e:
  iids = get_default_iids_list(5) # default behavior when no prediction results. eg. recommends the latest viewed projects
  log_error(e) # Handle error here. You may log the error for debugging.
  

predictioniogists

# You need to specify the name of the engine from which you want to retrieve the prediction results. 
# Suggest similar funded projects 
try:
  # retreive top 5 similar funded projects
  result = client.get_itemsim_topn("itemsim-fund", "the project ID", 5)
  iids = result['pio_iids'] # list of recommended project IDs
except Exception as e:
  iids = get_default_iids_list(5) # default behavior when no prediction results. eg. recommends the latest funded projects
  log_error(e) # Handle error here. You may log the error for debugging.
  

predictioniogists

import predictionio
 
# In the beginning of your application, you need to instantiate the PredictionIO client object.
# You need this client object to import data into PredictionIO and retrieve prediction results. 
# Add this line to the place where you do initialization:
cient = predictionio.Client("your App Key")
 
# Then add the following lines to your codes which handle the corresponding application logic:
 
# When a new user registers:

predictioniogists

php composer.phar install

predictioniogists

curl -sS https://getcomposer.org/installer | php -d detect_unicode=Off

predictioniogists

{
    "require": {
        "predictionio/predictionio": "~0.6.0"
    }
}

predictioniogists

<?php

// Use Composer's autoloader to load PredictionIO PHP SDK.
require_once("vendor/autoload.php");
use PredictionIO\PredictionIOClient;

// In the beginning of your application, you need to instantiate the PredictionIO client object.
// You need this client object to import data into PredictionIO and retrieve prediction results.
// Add this line to the place where you do initialization:
$client = PredictionIOClient::factory(array("appkey" => "your app key"));