Systems and methods for maintaining distributed media content history and preferences
Distributed media content history and preferences can be stored and maintained by media playback systems including one or more blockchain-capable playback devices. Content record sets, such as content experience record sets and content network record sets, can be stored via distributed ledgers and updated at least in part based on media consumption events performed or detected by playback devices, service providers, or other participants. Such distributed data can also be accessed to facilitate playback of media content for particular users, devices, households, or environments.
1 . A computing system, comprising:
one or more processors;
memory storing instructions that, when executed by the one or more processors, cause the computing system to perform operations comprising:
receiving input data;
accessing, based on the received input data, first data stored on a first distributed ledger, wherein the first distributed ledger comprises a permissioned or partially permissioned distributed ledger implemented via a local network of devices that includes a first network device, and wherein a data attestation corresponding to at least a portion of the first data is periodically transmitted to a network address associated with a second distributed ledger comprising a public or permissionless distributed ledger;
generating, via one or more machine learning models based on the first data, an output comprising a recommendation; and
causing the first network device to perform an operation according to the recommendation in the generated output.
2 . The computing system of claim 1 , wherein receiving the input data comprises detecting at least one of: a current time, user interaction with the first network device, or a location of the first network device.
3 . The computing system of claim 1 , wherein the input data comprises a voice command.
4 . The computing system of claim 1 , wherein the input data is received via the first network device.
5 . The computing system of claim 1 , wherein the input data is received via a second network device.
6 . The computing system of claim 1 , wherein the first data comprises media content consumption history data associated with a user of the first network device.
7 . The computing system of claim 6 , wherein the media content comprises at least one of: audio content, video content, photographs, or social media content.
8 . The computing system of claim 1 , wherein the distributed ledger comprises a blockchain implemented via a local network of media playback devices that includes the first network device.
9 . The computing system of claim 1 , wherein the second distributed ledger comprises a public blockchain.
10 . The computing system of claim 1 , wherein generating the output comprises generating a confidence metric corresponding to the recommendation in the generated output.
11 . The computing system of claim 1 , wherein the generated output comprises a recommended setting associated with the first network device.
12 . The computing system of claim 1 , wherein the generated output comprises media content and wherein causing the first network device to perform the operation comprises causing the first network device to play back the media content.
13 . The computing system of claim 1 , wherein the one or more machine learning models comprises one or more generative artificial intelligence (AI) models.
14 . The computing system of claim 13 , wherein at least one of the one or more generative artificial intelligence (AI) models resides on the first network device.
15 . The computing system of claim 13 , wherein at least one of the one or more generative artificial intelligence (AI) models comprises a transformer model.
16 . The computing system of claim 1 , wherein the first data comprises a record of media consumption events from a plurality of different media service providers.
17 . A playback device, comprising:
one or more processors;
memory storing instructions that, when executed by the one or more processors, cause the playback device to perform operations comprising:
receiving input data;
accessing, based on the received input data, first data stored on a first distributed ledger, wherein the first distributed ledger comprises a permissioned or partially permissioned distributed ledger implemented via a local network of devices that includes the playback device, and wherein a data attestation corresponding to at least a portion of the first data is periodically transmitted to a network address associated with a second distributed ledger comprising a public or permissionless distributed ledger;
generating, via one or more machine learning models based on the first data, an output comprising a recommendation; and
playing back media content according to the recommendation in the generated output.
18 . The playback device of claim 17 , wherein receiving the input data comprises detecting at least one of: a current time, user interaction with the playback device, or a location of the playback device.
19 . The playback device of claim 17 , wherein the input data comprises a voice command.
20 . The playback device of claim 17 , wherein the input data is received via the playback device.
21 . The playback device of claim 17 , wherein the input data is received via a second device in communication with the playback device.
22 . The playback device of claim 17 , wherein the first data comprises media content consumption history data associated with a user of the playback device.
23 . The playback device of claim 17 , wherein the first distributed ledger comprises a blockchain implemented via a local network of media playback devices that includes the playback device.
24 . The playback device of claim 17 , wherein the second distributed ledger comprises a public blockchain.
25 . The playback device of claim 17 , wherein generating the output comprises generating a confidence metric corresponding to the recommendation.
26 . The playback device of claim 17 , wherein the generated output comprises a recommended playback setting associated with the playback device.
27 . The playback device of claim 17 , wherein the one or more machine learning models comprises one or more generative artificial intelligence (AI) models.
28 . A method, comprising:
receiving input data;
accessing, based on the received input data, first data stored on a first distributed ledger, wherein the first distributed ledger comprises a permissioned or partially permissioned distributed ledger implemented via a local network of devices that includes a first network device, and wherein a data attestation corresponding to at least a portion of the first data is periodically transmitted to a network address associated with a second distributed ledger comprising a public or permissionless distributed ledger;
generating, via one or more machine learning models based on the first data, an output comprising a recommendation; and
causing a network device to perform an operation according to the recommendation in the generated output.
29 . One or more tangible, non-transitory computer-readable media storing instructions that, when executed by one or more processors of a computing system, cause the computing system to perform the method of claim 28 .