ADJUSTMENT OF MEDIA DELIVERY PARAMETERS BASED ON AUTOMATICALLY-LEARNED USER PREFERENCES
First Claim
1. A system, comprising:
- a content delivery module that is configured to deliver media content to a user in accordance with a value of a content delivery parameter;
an automatic parameter adjustment module that is configured to automatically adjust the value of the content delivery parameter based on at least an environmental condition; and
a user preference learning module that is configured to derive user preference information by monitoring one or more user-implemented adjustments made to the value of the content delivery parameter after the automatic adjustment thereof by the automatic parameter adjustment module and to provide the user preference information to the automatic parameter adjustment module;
wherein the automatic parameter adjustment module is further configured to automatically adjust the value of the content delivery parameter based on at least the environmental condition and the user preference information.
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Accused Products
Abstract
Systems and methods are described that automatically adjust a value of a parameter relating to the delivery of media content, such as audio content or image content, based on both environmental conditions and on automatically-learned user preference data. For example, a first embodiment adjusts a volume setting used to control the delivery of an audio signal based both on environmental noise conditions and upon automatically-learned user preference information, wherein the user preference information is derived by monitoring user-implemented adjustments to the volume setting after application of an automatic adjustment thereto. As another example, a second embodiment adjusts a brightness setting used to control the brightness of a display used for rendering images based both on an ambient light level and upon automatically-learned user preference information, wherein the user preference information is derived by monitoring user-implemented adjustments to the brightness setting after application of an automatic adjustment thereto.
102 Citations
30 Claims
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1. A system, comprising:
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a content delivery module that is configured to deliver media content to a user in accordance with a value of a content delivery parameter; an automatic parameter adjustment module that is configured to automatically adjust the value of the content delivery parameter based on at least an environmental condition; and a user preference learning module that is configured to derive user preference information by monitoring one or more user-implemented adjustments made to the value of the content delivery parameter after the automatic adjustment thereof by the automatic parameter adjustment module and to provide the user preference information to the automatic parameter adjustment module; wherein the automatic parameter adjustment module is further configured to automatically adjust the value of the content delivery parameter based on at least the environmental condition and the user preference information. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method, comprising:
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(a) automatically adjusting a value of a parameter relating to delivery of media content based on at least an environmental condition; (b) delivering media content in accordance with the value of the parameter obtained by the automatic adjustment of step (a); (c) deriving user preference information by monitoring one or more user-implemented adjustments made to the value of the parameter after the automatic adjustment of step (a); (d) automatically adjusting the value of the parameter based on at least the environmental condition and the user preference information; and (e) delivering media content in accordance with the value of the parameter obtained by the automatic adjustment of step (d). - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
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24. A system comprising:
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a content delivery module configured to output media content to a user in accordance with a content delivery parameter; and an automatic parameter adjustment module that is configured to automatically adjust a value of the content delivery parameter based on at least a sensed environmental condition and automatically-learned user preference data. - View Dependent Claims (25, 26, 27, 28, 29, 30)
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Specification