Patent classifications
H04L51/52
Stepwise relationship cadence management
Stepwise relationship cadence management can include generating a discourse cadence and confidence (DCC) measure based on a response message. The response message is made in replying to an originating message during a multi-party discourse over an electronic communication channel. The DCC measure indicates a likelihood of improving cadence and confidence with respect to an originator of the originating message and is based on a stepwise relational confidence model (SRCM) generated from an analysis of a plurality of prior multi-party discourses. Stepwise relationship cadence management can also include prompting a user to provide a follow-on message in response to determining that the response message made in replying to the originating message is not likely to improve cadence and confidence.
Stepwise relationship cadence management
Stepwise relationship cadence management can include generating a discourse cadence and confidence (DCC) measure based on a response message. The response message is made in replying to an originating message during a multi-party discourse over an electronic communication channel. The DCC measure indicates a likelihood of improving cadence and confidence with respect to an originator of the originating message and is based on a stepwise relational confidence model (SRCM) generated from an analysis of a plurality of prior multi-party discourses. Stepwise relationship cadence management can also include prompting a user to provide a follow-on message in response to determining that the response message made in replying to the originating message is not likely to improve cadence and confidence.
Method and system for calculating total transmission probability within social network based on timing
A method for calculating a total transmission probability within a social network based on timing includes a path probability calculating step, a first binary-addition tree searching step, a second binary-addition tree searching step and a transmission probability calculating step. The path probability calculating step is performed to calculate a plurality of time-path probability matrices from the social network. The first binary-addition tree searching step is performed to enumerate a plurality of feasible spread vectors and a plurality of 1-lag temporal vectors. The second binary-addition tree searching step is performed to enumerate a plurality of time-slot vectors of each of the 1-lag temporal vectors. The transmission probability calculating step is performed to calculate the total transmission probability of the social network. The time-path probability matrices are corresponding to a plurality of time values, and the time values are in the specific time and different from each other.
Method and system for calculating total transmission probability within social network based on timing
A method for calculating a total transmission probability within a social network based on timing includes a path probability calculating step, a first binary-addition tree searching step, a second binary-addition tree searching step and a transmission probability calculating step. The path probability calculating step is performed to calculate a plurality of time-path probability matrices from the social network. The first binary-addition tree searching step is performed to enumerate a plurality of feasible spread vectors and a plurality of 1-lag temporal vectors. The second binary-addition tree searching step is performed to enumerate a plurality of time-slot vectors of each of the 1-lag temporal vectors. The transmission probability calculating step is performed to calculate the total transmission probability of the social network. The time-path probability matrices are corresponding to a plurality of time values, and the time values are in the specific time and different from each other.
User-defined message timelines
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for creating and managing custom timelines. One of the methods includes receiving, from a user using a user account of a social messaging platform, input to a user interface displaying a message timeline of a social messaging platform, the user input requesting that the platform save a first message from the message timeline and, in response, saving the message to a custom timeline of the user account, wherein saving the message to the custom timeline includes associating with the custom timeline an identifier that identifies the first message; monitoring engagements by one or more other accounts with the first message with respect to one or more notification criteria; and in response to determining that the monitored engagements satisfy a trigger condition, providing a notification to the user account associated with the first message through the custom timeline.
User-defined message timelines
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for creating and managing custom timelines. One of the methods includes receiving, from a user using a user account of a social messaging platform, input to a user interface displaying a message timeline of a social messaging platform, the user input requesting that the platform save a first message from the message timeline and, in response, saving the message to a custom timeline of the user account, wherein saving the message to the custom timeline includes associating with the custom timeline an identifier that identifies the first message; monitoring engagements by one or more other accounts with the first message with respect to one or more notification criteria; and in response to determining that the monitored engagements satisfy a trigger condition, providing a notification to the user account associated with the first message through the custom timeline.
Systems and methods for screenless computerized social-media access
Systems and methods for screenless computerized social-media access may include (1) producing, via an audio speaker that is communicatively coupled to a computing device, a computer-generated verbal description of a social-media post provided via a social-media application, (2) detecting, via a microphone that is communicatively coupled to the computing device, an audible response to the social-media post from a user of the computing device, and (3) digitally responding to the social-media post in accordance with the detected audible response. Various other methods, systems, and computer-readable media are also disclosed.
Systems and methods for screenless computerized social-media access
Systems and methods for screenless computerized social-media access may include (1) producing, via an audio speaker that is communicatively coupled to a computing device, a computer-generated verbal description of a social-media post provided via a social-media application, (2) detecting, via a microphone that is communicatively coupled to the computing device, an audible response to the social-media post from a user of the computing device, and (3) digitally responding to the social-media post in accordance with the detected audible response. Various other methods, systems, and computer-readable media are also disclosed.
Modulated image segmentation
A modulated segmentation system can use a modulator network to emphasize spatial prior data of an object to track the object across multiple images. The modulated segmentation system can use a segmentation network that receives spatial prior data as intermediate data that improves segmentation accuracy. The segmentation network can further receive visual guide information from a visual guide network to increase tracking accuracy via segmentation.
Modulated image segmentation
A modulated segmentation system can use a modulator network to emphasize spatial prior data of an object to track the object across multiple images. The modulated segmentation system can use a segmentation network that receives spatial prior data as intermediate data that improves segmentation accuracy. The segmentation network can further receive visual guide information from a visual guide network to increase tracking accuracy via segmentation.