Use & Processing · Company practice
Product recommendations use interaction, user and product information
The Store makes product recommendations to improve the service experience. Algorithmic featuring uses parameters including aggregate interactions such as views, searches and filters; individual information such as age and language preferences; and product details such as release date, price status, ratings and download counts. Examples include top-player-rated, trending and most-popular features. This describes recommendation inputs, not a claim that every recommendation uses every parameter.
Details not recorded for this card
Supporting quotations
The Epic Games Store makes recommendations of products to you to help improve your experience on the service.
When Epic features products algorithmically, this is based on a number of main parameters, including aggregate user interactions with the service (such as views, searches and applied filters), information about an individual user (such as age and language preferences), and information about a product itself (such as the product’s release date, whether it is paid for or free, its rating, and number of downloads).
Other examples of our algorithmic features include things like “top player rated”, “trending” and “most popular”.
Qualifications & exceptions
- The listed parameters are examples for algorithmic featuring.