Content demotion
AssigneeInternational Business Machines Corporation
InventorsKomminist Weldemariam, Sushain Pandit, Clifford A. Pickover
Life of this patent
Estimating the term…
Abstract
An apparatus, for example a primary device, implements a method that includes receiving promoted content for display at the primary device; predicting a user's behavior with respect to the promoted content by estimating the user's context and preferences, using a neural network; and in response to the prediction of the user's behavior, automatically demoting the promoted content.
Claims14
A computer-implemented method comprising:
- receiving promoted content for display at a primary device that is a node of a cloud network and a user device;
- detecting and profiling a user's cognitive state by monitoring the user's interactions with the primary device using at least one of:
- eye tracking sensors, motion tracking sensors, audio/speech sensors, and a camera and monitoring the user's interactions with one or more applications using at least one of:
- typing characteristics, mouse movement, analysis of typed content, and an application profile;
- predicting the user's behavior with respect to the promoted content by inferring the user's context and preferences from the detected profile of the user's cognitive state, using a neural network;
- prompting the user for feedback via the primary device;
- retraining the neural network using the feedback;
- and
- in response to the prediction of the user's behavior that the user may attempt to purchase promoted content, automatically demoting the promoted content, wherein demoting the promoted content includes blocking transfer of the promoted content that is displayed at the primary device from the primary device to one or more secondary devices via a peer-to-peer network that is established between the primary device and the one or more secondary devices.
A non-transitory computer readable medium embodying computer executable instructions which when executed by a computer cause the computer to facilitate the method of:
- receiving promoted content for display at a primary device that is a user device:
- detecting and profiling a user's cognitive state by monitoring the user's interactions with the primary device using at least one of:
- eye tracking sensors, motion tracking sensors, audio/speech sensors, and a camera and monitoring the users interactions with one or more applications using at least one of:
- typing characteristics, mouse movement, analysis of typed content, and an application profile;
- predicting the user's behavior with respect to the promoted content by inferring the user's context and preferences from the detected profile of the user's cognitive state, using a neural network;
- prompting the user for feedback via the primary device:
- retraining the neural network using the feedback;
- and
- in response to the prediction of the user's behavior that the user may attempt to purchase promoted content, automatically demoting the promoted content, wherein demoting the promoted content includes blocking transfer of the promoted content that is displayed at the primary device from the primary device to one or more secondary devices via a peer-to-peer network that is established by the primary device with the one or more secondary devices.
An apparatus comprising:
- a memory embodying computer executable instructions;
- and at least one processor, coupled to the memory, and operative by the computer executable instructions to facilitate a method of:
- receiving promoted content for display at a primary device that is a user device:
- detecting and profiling a user's cognitive state by monitoring the user's interactions with the primary device using at least one of:
- eye tracking sensors, motion tracking sensors, audio/speech sensors, and a camera and monitoring the user's interactions with one or more applications using at least one of:
- typing characteristics, mouse movement, analysis of typed content, and an application profile;
- predicting the user's behavior with respect to the promoted content by inferring the user's context and preferences from the detected profile of the user's cognitive state, using a neural network;
- prompting the user for feedback via the primary device:
- retraining the neural network using the feedback;
- and
- in response to the prediction of the user's behavior that the user may attempt to purchase promoted content, automatically demoting the promoted content, wherein demoting the promoted content includes blocking transfer of the promoted content that is displayed at the primary device from the primary device to one or more secondary devices via a peer-to-peer network that is established by the primary device with the one or more secondary devices.
Dependencies are inferred from the claim text.