Abstract
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.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Chai, Wei; Gu, Zhiwei; Sancheti, Sundeep; and Liu, Yilan, "Item recommendations for cache and synchronization of application stores", Technical Disclosure Commons, (January 11, 2019)
https://www.tdcommons.org/dpubs_series/1874