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

gem install predictionio

predictioniogists

require "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:
client = PredictionIO::Client.new("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. 
# Add the following code to display recommended meals to the user after the user has logged in:
begin
  # Retrieve top 5 recommended meals from the item recommendation engine.
  # Assuming client.identify("user id") is already called when the user logged in.
  iids = client.get_itemrec_top_n("the engine name", 5) # list of recommended meal IDs
rescue ItemRecNotFoundError => e
  iids = get_default_iids_list(5) # default behavior when there is no prediction result, e.g. recommends newest meals
  log_error(e) # log the error for debugging or analysis later
end

predictioniogists

# You need to specify the name of the engine from which you want to retrieve the prediction results. 
# When a user views a meal, you can suggest similar meals to the user by adding the following:  
begin
  # retreive top 5 similar courses from the item similarity engine
  iids = client.get_itemsim_top_n("the engine name", "the viewed meal ID", 5) # list of recommended meal IDs
rescue ItemSimNotFoundError => e
  iids = get_default_iids_list(5) # default behavior when there is no prediction results, e.g. recommends newest meals
  log_error(e) # log the error for debugging or analysis later
end

predictioniogists

<project ...>
    ...
    <dependencies>
        <dependency>
            <groupId>io.prediction</groupId>
            <artifactId>client</artifactId>
            <version>0.6.0</version>
        </dependency>
    </dependencies>
    ...

predictioniogists

<ivy-module ...>
    ...
    <dependencies>
        <dependency org="io.prediction" name="client" rev="0.6.0" />
        ...
    </dependencies>
    ...
</ivy-module>

predictioniogists

import io.prediction.Client;
import io.prediction.UserActionItemRequestBuilder;
import io.prediction.CreateItemRequestBuilder;

// 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 client = new Client("your app key");

// Then add the following lines to your codes which handle the corresponding application logic:

predictioniogists

import io.prediction.ItemRecGetTopNRequestBuilder;

// You need to specify the name of the engine from which you want to retrieve the prediction results. 
// Add the following code to display recommended drivers to the logged-in user:

String[] driverIds;

try {
  // Retrieve top 5 recommended drivers from the item recommendation engine.
  // Assuming client.identify("user id") is already called when the user logged in.

predictioniogists

// When a new destination is added:
try {
  // sightseeing spot type may be "museums", "landmarks", etc
  String[] itypes = {"destinations", "sightseeing", "sightseeing spot type 1", "sightseeing spot type 2"};
  client.createItem("destination ID or name", itypes);
} catch (Exception e) {
  handleException(e);
}

// When the logged-in user goes to a destination: