Diy Platform App Store Index Recommendation Solution

Recommendation Solution (Cross Sell)

Recommendation Solution is a system that seeks to predict and show the items that a user would like to purchase. Recommendation basically are data filtering tools that make use of algorithms and data to recommend the most relevant items to a particular user.

How to Build my first Recommendation Solution application

Data Preparation

The data set used for building Recommendation Solution app should have the following three fields:

Type Field Name Indicator Description
String user user/customer This field should contain the unique id of user/customer
String item item/product This field should contain the unique id of item/product.
Numerical rating Variable This field should contain the numerical variable which represents the rating/score/weight of product/item of given user/customer.

Build App

  1. Go to the app store, build a recommendation Solution app by searching for Recommendation Solution
  2. You will be redirected to the app settings page where you can configure and run the app
  3. Under Quick Settings,
    3.1. Select an existing dataset or upload a new dataset.
    3.2. Select the target field (user/customerid), the item/product field, and the rating/score field.
  4. Now click on Run Now to start the app. The app runs for up to 5-10 minutes and then the recommendations will be produced for each user/customer.

Output

The app will produce a CSV file with the header as user, recommendedItem, score.

Go ahead and build your first Recommendation Solution