Java API Client

RecombeeClient client = new RecombeeClient("--your-database-id--", "--your-db-private-token--").setRegion(Region.US_WEST);

try {

    final int NUM = 100;
    // Generate some random purchases of items by users
    final double PROBABILITY_PURCHASED = 0.1;
    Random r = new Random();
    ArrayList<Request> addPurchaseRequests = new ArrayList<Request>();
    for (int i = 0; i < NUM; i++)
        for (int j = 0; j < NUM; j++)
            if (r.nextDouble() < PROBABILITY_PURCHASED) {

                AddPurchase request = new AddPurchase(String.format("user-%s", i),String.format("item-%s", j))
                                            .setCascadeCreate(true); // Use cascadeCreate parameter to create
                                                                    // the yet non-existing users and items
                addPurchaseRequests.add(request);
            }

    System.out.println("Send purchases");
    client.send(new Batch(addPurchaseRequests)); //Use Batch for faster processing of larger data

    // Get 5 recommendations for user 'user-25'
    RecommendationResponse recommendationResponse = client.send(new RecommendItemsToUser("user-25", 5));
    System.out.println("Recommended items:");
    for(Recommendation rec: recommendationResponse) System.out.println(rec.getId());

    // User scrolled down - get next 3 recommended items
    recommendationResponse = client.send(new RecommendNextItems(recommendationResponse.getRecommId(), 3));
    System.out.println("Next recommended items:");
    for(Recommendation rec: recommendationResponse) System.out.println(rec.getId());

} catch (ApiException e) {
    e.printStackTrace();
    //use fallback
}