Abstract: Methods are disclosed that include receiving electronic content data associated with an electronic content provider comprising: a content campaign identification associated with a virtual token, and provider-identified platform identifications that identify platforms on which the content campaign may be initiated; receiving input from the user comprising: a user identification, a virtual token identification, a campaign identification that identifies the content campaign associated with the virtual token, and user-identified platform identifications that identify the platforms on which the user consents to be targeted by the content campaign; determining, based on the received electronic content data and user data, the content campaign and platforms the user consents to; and generating a notification to initiate a content campaign targeting the user on the platforms on which the user consents to be targeted; and outputting the generated notification to the platforms on which the user consents to be targeted.

Abstract: A method includes receiving inputs from a plurality of data providers reflecting the plurality of data providers' respective parameters for providing message channel data; receiving inputs from a plurality of data recipients reflecting the data recipients' respective parameters for receiving message channel data; identifying, using a matching engine, message channel data that matches the parameters of at least one of the plurality of data providers and the parameters of at least one of the data recipients; processing the message channel data in accordance with the parameters of the data providers, the processing step comprising segmenting the message channel data into permitted data segments and non-permitted data segments based on the data providers' parameters; delivering the permitted data segments to the identified data recipients in accordance with their respective parameters; and initiating a request for compensation of the identified data providers in accordance with their respective parameters.

Abstract: The present teaching relates to communication related to predictions. A communication chain is created with multiple chain units, each operating independently to provide prediction services related to a prompt with embedded information therein associated with predictions for the prompt to enable prediction services. A request is received for a requested operation related to a query prompt on one of prediction solicitation, prediction entry, verification entry, and prediction access. If a chain unit for the query prompt, the request is directed to the chain unit to perform the requested operation. If not, a new chain unit is created for the query prompt and the request is forwarded to the new chain unit to carry out the requested operation.

Abstract: Disclosed are systems and methods for initiating communication between users of a user group based on machine learning techniques. The disclosed systems and methods provide a novel framework for automating communication scheduling and communication initiation based on user communication objectives and machine learning techniques. The disclosed framework operates by leveraging available user provided communication parameters, user provided objectives, and various real-time data associated with the users, and using the aforementioned data as inputs for machine learning models, in order to schedule communication between the users, automatically initiate communication between the users, or transmit communication notifications to the users.

Abstract: Disclosed are systems and methods for initiating communication between users of a user group based on machine learning techniques. The disclosed systems and methods provide a novel framework for automating communication scheduling and communication initiation based on user communication objectives and machine learning techniques. The disclosed framework operates by leveraging available user provided communication parameters, user provided objectives, and various real-time data associated with the users, and using the aforementioned data as inputs for machine learning models, in order to schedule communication between the users, automatically initiate communication between the users, or transmit communication notifications to the users.

Abstract: One or more computing devices, systems, and/or methods for providing comparable items for a query item are provided. A query is constructed based upon a set of similarity characteristics and a set of difference characteristics specified for a query item. The query is executed to identify a set of query item results comprising comparable items having characteristics similar to the set of similarity characteristics and characteristics different from the set of difference characteristics. The set of query item results are provided as query results for the query.

Abstract: One or more computing devices, systems, and/or methods for executing feedback actions based upon vehicle practices are provided. For example, sensor data is collected from sensors configured to collect sensor data associated with vehicles. The sensor data is synthesized to attribute sensor data to vehicle motion of the vehicle in relation to other objects. The vehicle motion is synthesized to determine driving actions of the vehicle, such as switching lanes, making a left hand turn, running a red light, etc. Vehicle practices of the vehicle are defined based upon the driving actions, such as a vehicle practice of a driver running red lights. A feedback action is executed to either reward the vehicle practices or incentivize a change in the vehicle practices.

Abstract: One or more computing devices, systems, and/or methods for transmitting response content items to devices are presented. For example, a graphical user interface may be controlled to display an interface. The targeting interface may comprise a selectable input. The selectable input may correspond to a content item. A request for a targeted response to the content item may be received via the interface. The request may comprise a response content item and a selection of the selectable input. A plurality of assignments of the content item to a plurality of users may be determined. The response content item may be transmitted to a plurality of devices. Each device of the plurality of devices may be associated with a user of the plurality of users.

Abstract: One or more devices, systems, and/or methods for presenting real-time videos of views that are obstructed are provided. For example, a first video may be received from a first camera. The first video comprises a real-time representation of a view opposing a first side of an obstruction. The first video is processed using a set of video parameters to generate a second video. The second video is transmitted to a display device. The second video is displayed on a display area positioned on a second side of the obstruction. A third video, comprising a real-time representation of the display area, is received. The set of video parameters are modified to generate a modified set of video parameters, based upon a comparison of the third video with the first video. The first video is processed using the modified set of parameters to generate an updated instance of the second video.

Abstract: Disclosed are systems and methods for initiating communication between users of a user group based on machine learning techniques. The disclosed systems and methods provide a novel framework for automating communication scheduling and communication initiation based on user communication objectives and machine learning techniques. The disclosed framework operates by leveraging available user provided communication parameters, user provided objectives, and various real-time data associated with the users, and using the aforementioned data as inputs for machine learning models, in order to schedule communication between the users, automatically initiate communication between the users, or transmit communication notifications to the users.

Abstract: Systems and methods for initiating communication between users of a user group based on machine learning techniques. The disclosed systems and methods provide a novel framework for automating communication scheduling and communication initiation based on user communication objectives and machine learning techniques. The disclosed framework operates by leveraging available user provided communication parameters, user provided objectives, and various real-time data associated with the users, and using the aforementioned data as inputs for machine learning models, in order to schedule communication between the users, automatically initiate communication between the users, or transmit communication notifications to the users.

Abstract: One or more computing devices, systems, and/or methods for content item selection for goal achievement are provided herein. A goal of a user is identified. A model is utilized to evaluate the goal, user information, and a set of content items to generate predictions for the content items of how likely each content item will be a causation factor of the user making progress towards the goal in response to the user being provided with each content item. A target content item is selected from the set of content items based upon the target content item having a predicted likelihood of being the causation factor above a threshold. The target content item is provided through a registered media channel accessible through a device of the user.

Abstract: One or more devices, systems, and/or methods for presenting real-time videos of views that are obstructed are provided. For example, a first video may be received from a first camera. The first video comprises a real-time representation of a view opposing a first side of an obstruction. The first video is processed using a set of video parameters to generate a second video. The second video is transmitted to a display device. The second video is displayed on a display area positioned on a second side of the obstruction. A third video, comprising a real-time representation of the display area, is received. The set of video parameters are modified to generate a modified set of video parameters, based upon a comparison of the third video with the first video. The first video is processed using the modified set of parameters to generate an updated instance of the second video.

Abstract: One or more devices, systems, and/or methods for presenting real-time videos of views that are obstructed are provided. For example, a first video may be received from a first camera. The first video comprises a real-time representation of a view opposing a first side of an obstruction. The first video is processed using a set of video parameters to generate a second video. The second video is transmitted to a display device. The second video is displayed on a display area positioned on a second side of the obstruction. A third video, comprising a real-time representation of the display area, is received. The set of video parameters are modified to generate a modified set of video parameters, based upon a comparison of the third video with the first video. The first video is processed using the modified set of parameters to generate an updated instance of the second video.

Abstract: One or more devices, systems, and/or methods for presenting real-time videos of views that are obstructed are provided. For example, a first video may be received from a first camera. The first video comprises a real-time representation of a view opposing a first side of an obstruction. The first video is processed using a set of video parameters to generate a second video. The second video is transmitted to a display device. The second video is displayed on a display area positioned on a second side of the obstruction. A third video, comprising a real-time representation of the display area, is received. The set of video parameters are modified to generate a modified set of video parameters, based upon a comparison of the third video with the first video. The first video is processed using the modified set of parameters to generate an updated instance of the second video.

Abstract: One or more computing devices, systems, and/or methods for transmitting response content items to devices are presented. For example, a graphical user interface may be controlled to display an interface. The targeting interface may comprise a selectable input. The selectable input may correspond to a content item. A request for a targeted response to the content item may be received via the interface. The request may comprise a response content item and a selection of the selectable input. A plurality of assignments of the content item to a plurality of users may be determined. The response content item may be transmitted to a plurality of devices. Each device of the plurality of devices may be associated with a user of the plurality of users.

Abstract: One or more computing devices, systems, and/or methods for executing feedback actions based upon vehicle practices are provided. For example, sensor data is collected from sensors configured to collect sensor data associated with vehicles. The sensor data is synthesized to attribute sensor data to vehicle motion of the vehicle in relation to other objects. The vehicle motion is synthesized to determine driving actions of the vehicle, such as switching lanes, making a left hand turn, running a red light, etc. Vehicle practices of the vehicle are defined based upon the driving actions, such as a vehicle practice of a driver running red lights. A feedback action is executed to either reward the vehicle practices or incentivize a change in the vehicle practices.

Abstract: The present teaching relates to providing dynamic advertisements for comparison. In one example, a request is received for selecting advertisement. The request incorporates a query. The query is analyzed to determine a category of product and determine one or more attributes of the category of product based on the query. At least one advertisement associated with the category of product is selected based on the one or more attributes and the request. An instruction on presentation of the at least one advertisement is generated in accordance with the one or more attributes. Information related to the instruction and the at least one advertisement is sent as a response to the request.

Abstract: One or more methods and/or techniques for media queuing are provided herein. A user, of a client device, may search for a media item (e.g., a movie, video, and/or TV show). The media item may be provided by one or more content providers (e.g., businesses that provide media items in one or more formats, such as for rental, purchase, download, pickup, etc.). Responsive to the media item being of interest to the user, one or more media queuing options may be presented to the user. The media queuing options may correspond to one or more formats and/or one or more content providers (e.g., rental from a first content provider; purchase from a second content provider; etc). Responsive to the user invoking a media queuing option, the media item may be queued for consumption by the user.