Meta Platforms Technologies Products Meta Horizon Store Notifications AI system

UPDATED DEC 10, 2024
The content you see on your Meta Platforms Technologies Products Meta Horizon Store Notifications is selected, ranked and delivered to you by an artificial intelligence (AI) system. Within one AI system, multiple machine learning models work together to deliver your experience. These models and their input signals are dynamic and they change frequently as the system learns and improves over time.

Overview of Meta Platforms Technologies Products Meta Horizon Store Notifications

Notifications across Meta Quest devices and the Meta Horizon mobile app along with Mixed Reality (MR) related emails from Meta accounts are selected, ranked and delivered by an artificial intelligence (AI) system. Within one AI system, multiple machine learning models work together to determine the most relevant notifications to you and then deliver the experience. These models and their input signals are dynamic and they change frequently as the system learns and improves over time.
How Meta Platforms Technologies Products Meta Horizon Store Notifications works
When you view and interact with the Meta Quest devices or the Meta Horizon Mobile App, one of the underlying AI systems delivers notifications which may include App recommendations, new accounts to follow, activity from your connections, and suggested Apps, for example. There are multiple surfaces for communication: a) push notifications sent on mobile devices and on Meta Quest headsets, b) notifications feed (tray) both in the Meta Horizon Mobile App and in Meta Quest headsets, and c) emails.
  1. Scheduling: When to send notifications?
    Most notifications will be sent in real-time, but for less time-sensitive notifications, the system will identify the best time to notify you based on a variety of signals.
  2. Retrieval: Which notification candidates are available for each user?
    The system collects the potential notification candidates for you (e.g., recommendations to play a game, recommendations to follow people, reminders about expiring coupons and discounts, etc.).
  3. Scoring: Which is the value of each notification candidate?
    The system then scores each notification for a variety of factors, such as the type of notification, similarity to other content, and how well the notification matches what you tend to interact with.
  4. Filtering: Which notification candidates could be discarded earlier?
    The system narrows the pool of eligible notifications to those that are likely the most relevant for you.
  5. Ranking: Which is the most relevant notification candidate?
    All the notification candidates that passed the filtering stage are ranked based on relevance in this stage. Only the top one notification candidate will be selected and sent to you.
How to customize what you see
Your experience on Meta Platforms Technologies Products Meta Horizon Store Notifications is personalized based on your activity, and you have options to control or customize what you see. Below, we describe how to do this with different in-product features. Options shown here may not be available to everyone.
Choose which notifications you want to receive
You have a variety of options to customize which notifications you receive for Meta Horizon Store such as by turning different types of notifications on or off. Type of notifications include: your activity and the activity of your followers, available credits and discounts, sales and promotions in the Meta Horizon Store, app recommendations, messages from other users, or helpful information and reminders. For example, if you turn notifications on for recommendations, you will get notified with suggestions for apps, worlds, and other experiences.
Manage how you receive notifications
You can also choose how you want to receive notifications, such as via email, Meta Horizon Mobile App, or Meta Quest headset, and whether or not you want to push notifications.
How the AI delivers content to you
We want you to see content you enjoy and find interesting. To achieve this, the AI system has models that help it make predictions about content you'll find most relevant and valuable. These prediction models use underlying input signals to help select content you're most likely to engage with.
Below are some of the significant predictions–and input signals that inform them–that we use in this AI system.
How likely is this notification to attract your engagement
Signals influencing this prediction include:
  • The total amount of time you've spent on Meta Horizon
  • The country and region you’re in
  • How often you use Meta Horizon
  • How long it’s been since you first joined Meta Horizon
  • How long it's been since you viewed notifications