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Abstract

Media consumption may be fragmented across various application-based services, and centralized recommendation engines can operate within separate ecosystems, which may introduce privacy considerations. This disclosure relates to systems and methods for dynamically compiling a personalized media stream on a client device (e.g., a smartphone, smart watch, television, or wearable device). The approach can utilize an on-device, multi-agent bidding protocol where a user agent may initiate a content auction by broadcasting abstracted, locally-derived context tokens to multiple streaming service agents that can represent different providers. These agents may then submit bids containing relevant content, and the user agent can select a sequence for playback from the submitted bids. This client-centric model may facilitate a contextually-aware media channel by interleaving content from various sources, which could reduce the transmission of certain user data to external servers.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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