To reduce the latency of rendering the page of an app in an application store (e.g., that provides access to downloads of apps to a mobile device), the application store app periodically synchronizes with its backend and caches on the user mobile device app pages that a user is likely to visit.
This disclosure uses deep learning models to predict the next N apps that a user is likely to visit based on permitted user activity signals, e.g., demographic information, historical visits to deep links associated with the app, etc.
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Chai, Wei; Gu, Zhiwei; Sancheti, Sundeep; and Liu, Yilan, "Item recommendations for cache and synchronization of application stores", Technical Disclosure Commons, (January 11, 2019)