predictioniogists

import io.prediction.ItemSimGetTopNRequestBuilder;

// You need to specify the name of the engine from which you want to retrieve the prediction results. 
// Add the following code to display similar sightseeing spots to the user after arriving a destination:

String[] destinationIds;
 
try {
 //retreive top 5 similar sightseeing spots from the item similarity engine
 String[] itypes = {"sightseeing"}

predictioniogists

<?php

// Assuming we already have an ItemSim engine named 'similarapps'

// Get a list of previous viewed app IDs for the current session
$previouslyViewedApps = getViewedAppsInThisSession();
$similarApps = array();

try {
    // Retrieve similar apps for each previously viewed app

predictioniogists

<?php
 
// Assuming we already have an ItemRec engine named 'appsrec'
 
// Get user ID and the current view's category
$uid = getUid();
$category = getCategory();
 
try {
// Retrieve apps recommendation for the current user and category

predictioniogists

<?php
// Assuming we already have an ItemRec engine named 'similarapps'

// Get app ID
$app = getApp();

try {
// Retrieve similar apps for the current app
    $command = $client->getCommand(
        'itemsim_get_top_n',

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"));

predictioniogists

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

predictioniogists

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

predictioniogists

php composer.phar install

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

# 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.