Abstract: Systems and methods for recognizing and/or predicting activities of a user of a mobile device are disclosed. In certain embodiments, the systems and methods may predict a future activity and/or location of a mobile device user based on current and/or historical device data and/or other personal information relating to the user. In some embodiments, probabilistic determinations and/or other statistical models may be used to predict future activities and locations of a mobile device user. The disclosed systems and methods may further utilize location and/or activity recognition and/or prediction methods to deliver personalized services to a user of a mobile device at a particular time and/or location.

Abstract: Systems and methods for recognizing and/or predicting activities of a user of a mobile device are disclosed. In certain embodiments, the systems and methods may predict a future activity and/or location of a mobile device user based on current and/or historical device data and/or other personal information relating to the user. In some embodiments, probabilistic determinations and/or other statistical models may be used to predict future activities and locations of a mobile device user. The disclosed systems and methods may further utilize location and/or activity recognition and/or prediction methods to deliver personalized services to a user of a mobile device at a particular time and/or location.

Abstract: A user device obtains a set of one or more public key certificates for a server received from a directory service, and a current public key certificate of the server received from the server. The user device compares the current public key certificate received from the server with the set of public key certificates received from the directory service. If the current public key certificate of the server matches one of the public key certificates in the set of public key certificates for the server, the authenticity of the server is confirmed, and communications are permitted between the user device and the server. Communications between the user device and the server may be prevented unless the current public key certificate from the server matches a public key certificate in the set of public key certificates received from the directory service.

Abstract: Systems and methods for recognizing and/or predicting activities of a user of a mobile device are disclosed. In certain embodiments, the systems and methods may predict a future activity and/or location of a mobile device user based on current and/or historical device data and/or other personal information relating to the user. In some embodiments, probabilistic determinations and/or other statistical models may be used to predict future activities and locations of a mobile device user. The disclosed systems and methods may further utilize location and/or activity recognition and/or prediction methods to deliver personalized services to a user of a mobile device at a particular time and/or location.

Abstract: A GUI (Graphic User Interface) application recognition and interaction system enables application-agnostic and device-agnostic recognition and interaction through use of image and text pattern recognition. The GUI device includes a GUI client application that provides wide range of functionalities. The GUI device includes smartphones, tablet computers, laptop and desktop computers, game consoles, and other GUI-enabled processor-based devices, and virtual machines (VM) and devices provided by VM hypervisors. The GUI application recognition and interaction system leverages artificial intelligence, machine learning, and other algorithms and methods to enable automatic recognition of common user interface elements and page types such as menus, login, status and error, and associated application flows in a GUI application, and enable interaction with the GUI app based on recognized application flows information, configurations, and previously automatically detected application flows.

Abstract: Methods, systems, computer-readable media, and apparatuses may provide a mobile device with the ability to locally detect fraudulent activity by an unauthorized user. A mobile device may include a fraud detection module that may build a historical usage pattern of a user of the mobile device. The fraud detection module may monitor usage of the mobile device for multiple parameters and record events pertaining to the parameters. Periodically or in response to each event, the fraud detection module may compute a current usage pattern using each of the current parameter values. The fraud detection module may compare the current usage pattern with the historical usage pattern and may use the comparison result to compute a confidence score. The fraud detection module may then compare the confidence score with a preset confidence score to determine whether fraudulent activity is occurring at the mobile device.

Abstract: Systems and methods for recognizing and/or predicting activities of a user of a mobile device are disclosed. In certain embodiments, the systems and methods may predict a future activity and/or location of a mobile device user based on current and/or historical device data and/or other personal information relating to the user. In some embodiments, probabilistic determinations and/or other statistical models may be used to predict future activities and locations of a mobile device user. The disclosed systems and methods may further utilize location and/or activity recognition and/or prediction methods to deliver personalized services to a user of a mobile device at a particular time and/or location.

Abstract: Systems and methods for recognizing and/or predicting activities of a user of a mobile device are disclosed. In certain embodiments, the systems and methods may predict a future activity and/or location of a mobile device user based on current and/or historical device data and/or other personal information relating to the user. In some embodiments, probabilistic determinations and/or other statistical models may be used to predict future activities and locations of a mobile device user. The disclosed systems and methods may further utilize location and/or activity recognition and/or prediction methods to deliver personalized services to a user of a mobile device at a particular time and/or location.

Abstract: A user device obtains a set of one or more public key certificates for a server received from a directory service, and a current public key certificate of the server received from the server. The user device compares the current public key certificate received from the server with the set of public key certificates received from the directory service. If the current public key certificate of the server matches one of the public key certificates in the set of public key certificates for the server, the authenticity of the server is confirmed, and communications are permitted between the user device and the server. Communications between the user device and the server may be prevented unless the current public key certificate from the server matches a public key certificate in the set of public key certificates received from the directory service.

Abstract: A media control system enables a device-agnostic and source-agnostic entertainment experience through use of an internet-enabled user device. The user device includes a client application for navigating through media or entertainment content, controlling media devices according to a type of media content selected by the user, and sharing media experiences via social networks. The user device includes smartphones, tablet computers, and other internet-enabled processor-based devices. The media control system leverages the internet access of the user device to enable search and discovery of all available media content. A recommendation engine coupled to the client application learns media preferences from user behavior, generates from numerous disparate media sources recommended media choices corresponding to the media preferences, and presents the recommended media choices on the user device.

Abstract: Methods, systems, computer-readable media, and apparatuses may provide a mobile device with the ability to locally detect fraudulent activity by an unauthorized user. A mobile device may include a fraud detection module that may build a historical usage pattern of a user of the mobile device. The fraud detection module may monitor usage of the mobile device for multiple parameters and record events pertaining to the parameters. Periodically or in response to each event, the fraud detection module may compute a current usage pattern using each of the current parameter values. The fraud detection module may compare the current usage pattern with the historical usage pattern and may use the comparison result to compute a confidence score. The fraud detection module may then compare the confidence score with a preset confidence score to determine whether fraudulent activity is occurring at the mobile device.

Abstract: A media control system enables a device-agnostic and source-agnostic entertainment experience through use of an internet-enabled user device. The user device includes a client application for navigating through media or entertainment content, controlling media devices according to a type of media content selected by the user, and sharing media experiences via social networks. The user device includes smartphones, tablet computers, and other internet-enabled processor-based devices. The media control system leverages the internet access of the user device to enable search and discovery of all available media content. A recommendation engine coupled to the client application learns media preferences from user behavior, generates from numerous disparate media sources recommended media choices corresponding to the media preferences, and presents the recommended media choices on the user device.

Abstract: A media control system enables a device-agnostic and source-agnostic entertainment experience through use of an internet-enabled user device. The user device includes a client application for navigating through media or entertainment content, controlling media devices according to a type of media content selected by the user, and sharing media experiences via social networks. The user device includes smartphones, tablet computers, and other internet-enabled processor-based devices. The media control system leverages the internet access of the user device to enable search and discovery of all available media content. A recommendation engine coupled to the client application learns media preferences from user behavior, generates from numerous disparate media sources recommended media choices corresponding to the media preferences, and presents the recommended media choices on the user device.

Abstract: Systems and methods for recognizing and/or predicting activities of a user of a mobile device are disclosed. In certain embodiments, the systems and methods may predict a future activity and/or location of a mobile device user based on current and/or historical device data and/or other personal information relating to the user. In some embodiments, probabilistic determinations and/or other statistical models may be used to predict future activities and locations of a mobile device user. The disclosed systems and methods may further utilize location and/or activity recognition and/or prediction methods to deliver personalized services to a user of a mobile device at a particular time and/or location.

Abstract: A media control system enables a device-agnostic and source-agnostic entertainment experience through use of an internet-enabled user device. The user device includes a client application for navigating through media or entertainment content, controlling media devices according to a type of media content selected by the user, and sharing media experiences via social networks. The user device includes smartphones, tablet computers, and other internet-enabled processor-based devices. The media control system leverages the internet access of the user device to enable search and discovery of all available media content. A recommendation engine coupled to the client application learns media preferences from user behavior, generates from numerous disparate media sources recommended media choices corresponding to the media preferences, and presents the recommended media choices on the user device.

Abstract: The present invention is generally directed toward a system and methods of placing content, including advertising, content on a mobile device in response to an event in the operational lifecycle of the device. The event defines an opportunity between power-up and power-off when the user's attention is likely drawn to the device. The inserted content can be any media form including graphic, image, video, animation, audio or textual and can be fully interactive. The content is inserted before, during, or after an event in a minimally intrusive manner so as not to interfere with the communications features of the device. The system and method reward the user for each display of content.

Abstract: The present invention provides for a financial value transfer system wherein financial value can be transferred between an account associated with a mobile telephone user and a stored value card.