Abstract
Existing content discovery systems often require complex account linking processes or rely on device-specific data, creating fragmented user experiences across different platforms. Disclosed herein is a system and method for cross-platform content recommendation utilizing a Video Discovery API. This technology enables applications to securely transmit user activity data and content state information to a central service. The core operation involves inferring a relationship between third-party user identities and a platform’s internal user identity using device associations. This facilitates the seamless exchange and propagation of user data across various devices and platforms without explicit account linking. The primary purpose is to provide personalized and consistent content recommendations and experiences by integrating user data from multiple sources.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Raza, Salman; Gupta, Abhay Kumar; Wu, Hailin; Liu, Weitong; Nguyen, Trung; Kasera, Harshita; Kottapalli, Venkata; Yadav, Vivek; Robertson, Jason; Raut, Vighnesh; and Kumar, Vineet, "Video Discovery API for Cross-Platform Content Recommendation", Technical Disclosure Commons, (July 03, 2025)
https://www.tdcommons.org/dpubs_series/8307