Abstract: A computer-implemented information verification method, system, and non-transitory computer readable medium, include acquiring a first measurement from a user device specific to a user device location, acquiring a second measurement from a second device specific to a second device location, comparing the first measurement with the second measurement, and verifying the user device is within a proximity of the second device to grant access for the user device to the second device, based on a result of the comparing.

Abstract: An authentication control method, system, and computer program product, includes performing an initial calibration to login to a registered device by detecting a plurality of biological signals, biometric signals, and idiosyncratic signals of a user and selecting a combination of the plurality of biological signals, biometric signals, and idiosyncratic signals to use in an initial calibration-authentication score, computing a login-authentication score at a time of the login based on a user input of signals corresponding to the signals of the initial calibration-authentication score, and allowing the login to the registered device if the login-authentication score is within a predetermined threshold of the initial calibration-authentication score.

Abstract: A contextual zoom control method, system, and computer program product, includes detecting faces in an area of interest when a user is performing an image capturing action, extracting a facial image for each of a set of key individuals attending an event where the user is performing the image capturing action, creating a ranked list of the set of key individuals according to a predetermined parameter of each key individual, pairing each detected face with a matching extracted facial image to label an identity of each key individual in the area of interest, and in a single individual capturing mode, performing a camera function to assist the user in performing the image capturing action on the identity that is paired with a highest ranked individual on the ranked list within the area of interest.

Abstract: A method modifies a physical device for use by a particular person. One or more processors receive information from a sensor indicating a detection by the sensor of a sequence of actions performed by an unidentified person. The sequence of actions are physical actions performed in a particular order, and the physical actions are disparate types of physical movements performed by the unidentified person. One or more processors compare the sequence of actions performed by the unidentified person a known sequence of actions for a particular person. In response to the sequence of actions performed by the unidentified person matching the known sequence of actions for the particular person, one or more processors identify the unidentified person as the particular person and then modify a physical device for use by the particular person.

Abstract: In an approach to managing images and captions, one or more computer processors receive one or more captured images of including one or more subjects. The one or more computer processors identify the one or more subjects from the first image. The one or more computer processors identify the context of the first image of the one or more captured images containing the one or more subjects. The one or more computer processors analyze one or more social networking histories and relationships associated with the one or more subjects using recognition techniques. The one or more computer processors create one or more captions associated with the first image of the one or more captured images based on the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects.

Abstract: Various embodiments select advertisements for delivery to at least one mass media streaming device at a given location and time slot. Content and corresponding time and physical location information being posted in an online portal from at least one electronic device are obtained. The content is filtered based on time slot and physical location. A set of typical topics for a location and time slot are determined. A subset of advertisements is selected from a set of available advertisements based on the set of typical topics. The subset of advertisements is delivered to the at least one mass media streaming device. The mass media streaming device may be a television. A set of current topics for the location and time slot may be determined and aggregated with the set of typical topics. The subset of advertisements may be selected from the set of available advertisements based on the aggregated set.

Abstract: A split and merge advertisement method, system, and non-transitory computer readable medium, include an advertisement splitting circuit configured to split the first advertisement to be played on a second device when a moving user of the first group of users moves from a proximity of the first device to a proximity of the second device as detected by the user identifying unit of each of the first device and the second device, an optimization circuit configured to optimize a second advertisement to be played on the first device for the first group of users having a new group composition and a third advertisement to be played on the second device for the moving user, and an advertisement merging circuit configured to merge the third advertisement with the second advertisement when the moving user moves from the second device to the first device.

Abstract: A fuel deal advertisement method, system, and non-transitory computer readable medium, include a navigation route and fuel availability determining circuit configured to determine a plurality of navigation route maps, each navigation route map including at least one fuel refill center for each of the plurality of navigation routes, an advertisement generating circuit configured to generate an advertisement for each of the at least one fuel refill center included on the plurality of navigation route maps, an advertisement playing circuit configured to play the advertisement for each of the at least one fuel refill center according to a predetermined rank of the advertisements, and a route selecting circuit configured to query a user of a vehicle to select a route of the plurality of navigation route maps including a preferred fuel refill center that the user wants to visit based on the advertisement.

Abstract: A computer-implemented information verification method, system, and non-transitory computer readable medium, include measuring a first signal strength from a user device to a second device, where the first signal strength is measured from the perspective of the user device, measuring a second signal strength from the second device to the user device, where the second signal strength is measured from the perspective of the second device, comparing the first signal strength with the second signal strength, and verifying the information, based on a result of said comparing.

Abstract: Systems and methods for managing app lifecycles on a user device. A user device context is determined and a set of server based apps associated with the context is determined based on the context and a set of conditions associated with server based apps. An indicator for user interface elements for each server based app is sent with the indication of the context. These user interface elements are displayed to a user of the device. In an example, these user interface elements are displayed on a default pane of the device. A user interface element in some examples is able to be selected by a single interaction. Interactions between a user and a user interface for a selected app are received at a. The user interactions are processed to produce results based on the user interface inputs, and the results are sent.

Abstract: Systems and methods for managing app lifecycles on a user device. A device context and a social context are determined. Based on these contexts and a respective set of context related conditions associated each of at least one server based app, a subset of the available server based apps is selected. A respective indicator of a respective user interface element for each server based app within the set of server based apps is sent. User interface inputs for a selected app within the first set of server based apps are received from the user device. The user interface inputs are processed to produce results based on the user interface inputs and the results are sent. The position of user interface elements for the server based apps is also able to be determined and specified in some examples based on the determined context.

Abstract: A method for personalizing video commercials displayed on a user device is provided. The method includes determining an identification of one or more users viewing the user device, receiving a preliminary set of video commercials selected from an initial set of video commercials based on the identification of the one or more users, determining a user satisfaction score based on attributes associated with the one or more identified users and features associated with each video commercial, an advertiser satisfaction score based on an expected revenue amount for each video commercial and the features associated with each video commercial, and a combined satisfaction score for each video commercial from the preliminary set of video commercials, selecting a primary set of video commercials from the preliminary set of video commercials based on the combined satisfaction score, and providing the primary set of video commercials.

Abstract: A system and method a Multi-Task Multi-View (M2TV) learning problem. The method uses the label information from related tasks to make up for the lack of labeled data in a single task. The method further uses the consistency among different views to improve the performance. It is tailored for the above complicated dual heterogeneous problems where multiple related tasks have both shared and task-specific views (features), since it makes full use of the available information.

Abstract: A system and method a Multi-Task Multi-View (M2TV) learning problem. The method uses the label information from related tasks to make up for the lack of labeled data in a single task. The method further uses the consistency among different views to improve the performance. It is tailored for the above complicated dual heterogeneous problems where multiple related tasks have both shared and task-specific views (features), since it makes full use of the available information.