MULTIPLE STREAM TUNING
First Claim
Patent Images
1. A system for multiple stream tuning, the system comprising:
- a decoder to receive a plurality of content streams;
a content sensor array to rank the plurality of content streams, wherein to rank the plurality of content streams includes, for each of the plurality of content streams, the content sensor is to apply a set of assays to a content stream to produce a set of artifacts;
a sensor to score a user attention level as the user observes at least one content stream of the plurality of content streams;
a comparator to compare the user attention level and a rank for the at least one content stream to remaining ranks of the plurality of content streams to produce a difference; and
a switch to;
perform a stream action on a set of content reams from the plurality of content streams based on the difference;
evaluate the set of artifacts in a user context for the user to produce artifact evaluations, wherein the user context includes a matching group to a set of users, and wherein to evaluate the set of artifacts in a user context includes the switch to use a portion of a second user context from a member of the set of users to produce the artifact evaluations; and
modify a rank for the content stream based on the artifact evaluations.
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Abstract
System and techniques for multiple stream tuning are described herein. A plurality of content streams may be received. The plurality of content streams may be ranked. A user attention level may be scored as the user observes at least one content stream of the plurality of content streams. The user attention level and a rank for the at least one content stream may be compared to remaining ranks of the plurality of content streams to produce a difference. A stream action may be performed on a set of content streams from the plurality of content streams based on the difference.
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Citations
24 Claims
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1. A system for multiple stream tuning, the system comprising:
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a decoder to receive a plurality of content streams; a content sensor array to rank the plurality of content streams, wherein to rank the plurality of content streams includes, for each of the plurality of content streams, the content sensor is to apply a set of assays to a content stream to produce a set of artifacts; a sensor to score a user attention level as the user observes at least one content stream of the plurality of content streams; a comparator to compare the user attention level and a rank for the at least one content stream to remaining ranks of the plurality of content streams to produce a difference; and a switch to; perform a stream action on a set of content reams from the plurality of content streams based on the difference; evaluate the set of artifacts in a user context for the user to produce artifact evaluations, wherein the user context includes a matching group to a set of users, and wherein to evaluate the set of artifacts in a user context includes the switch to use a portion of a second user context from a member of the set of users to produce the artifact evaluations; and modify a rank for the content stream based on the artifact evaluations. - View Dependent Claims (3, 4, 5, 6, 8)
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2. (canceled)
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7. (canceled)
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9. A method for multiple stream tuning, the method comprising:
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receiving a plurality of content streams; ranking the plurality of content streams, wherein ranking the plurality of content streams includes, for each of the plurality of content streams; applying a set of assays to a content stream to produce a set of artifacts; evaluating the set of artifacts in a user context for the user to produce artifact evaluations, wherein the user context includes a matching group to a set of users, and wherein evaluating the set of artifacts in a user context includes using a portion of a second user context from a member of the set of users to produce the artifact evaluations; and modifying a rank for the content stream based on the artifact evaluations; scoring a user attention level as the user observes at least one content stream of the plurality of content streams; comparing the user attention level and a rank for the at least one content stream to remaining ranks of the plurality of content streams to produce a difference; and performing a stream action on a set of content streams from the plurality of content streams based on the difference. - View Dependent Claims (11, 12, 13, 14, 16)
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10. (canceled)
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15. (canceled)
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17. At least one non-transitory machine readable medium including instructions for multiple stream tuning, the instructions, when executed by a machine, causing the machine to:
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receive a plurality of content streams; rank the plurality of content streams, wherein, to rank the plurality of content streams includes, for each of the plurality of content streams, includes the instructions to cause the machine to; apply a set of assays to a content stream to produce a set of artifacts; evaluate the set of artifacts in a user context for the user to produce artifact evaluations, wherein the user context includes a matching group to a set of users, and wherein, evaluate the set of artifacts in a user context, the machine is to us a portion of a second user context from a member of the set of users to produce the artifact evaluations; and modify a rank for the content stream based on the artifact evaluations; score a user attention level as the user observes at least one content stream of the plurality content streams; compare the user attention level and a rank for the at least one content stream to remaining ranks of the plurality of content streams to produce a difference; and perform a stream action on a set of content streams from the plurality of content streams based on the difference. - View Dependent Claims (19, 20, 21, 22, 24)
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18. (canceled)
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23. (canceled)
Specification