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
The data set used for building Recommendation Solution app should have the following three fields:
|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.|
- Go to the app store, build a recommendation Solution app by searching for Recommendation Solution
- You will be redirected to the app settings page where you can configure and run the app
- 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.
- 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.
The app will produce a CSV file with the header as user, recommendedItem, score.
Go ahead and build your first Recommendation Solution