Abstract: A customizable notification system permits a user of a mobile device to configure notification preferences for different accounts and services that the user subscribes to, such as notification from email, instant messaging, and social networks. A notification viewer on the mobile device provides an aggregated view of notifications coming from different sources, customized according to the user's preferences, such as filter preferences and delivery preferences.

Abstract: A system implementing a method for providing sponsored information on an electronic device determines information of interest to the user as relevant information, accesses sponsored information, and provides sponsored information based on said relevant information.

Abstract: A customizable notification system permits a user of a mobile device to configure notification preferences for different accounts and services that the user subscribes to, such as notification from email, instant messaging, and social networks. A notification viewer on the mobile device provides an aggregated view of notifications coming from different sources, customized according to the user's preferences, such as filter preferences and delivery preferences.

Abstract: Techniques for allocating individually executable portions of executable code for execution in an Elastic computing environment are disclosed. In an Elastic computing environment, scalable and dynamic external computing resources can be used in order to effectively extend the computing capabilities beyond that which can be provided by internal computing resources of a computing system or environment. Machine learning can be used to automatically determine whether to allocate each individual portion of executable code (e.g., a Weblet) for execution to either internal computing resources of a computing system (e.g., a computing device) or external resources of an dynamically scalable computing resource (e.g., a Cloud). By way of example, status and preference data can be used to train a supervised learning mechanism to allow a computing device to automatically allocate executable code to internal and external computing resources of an Elastic computing environment.

Abstract: In accordance with one aspect of the invention, web workers and local storages can be extended to a cloud-based environment. This allows web workers to be executed on any of a number of different cloud platforms located in a cloud, leveraging available resources to provide a quicker and more efficient processing environment for the various web workers. The present invention also provides these functionalities in a way that is transparent to not just the user, but also to the web page developer as well, eliminating the need for the web page developer to be aware of the cloud-based environment and design the web page for use therewith.

Abstract: A method and system for providing access to information via a supplementary device is provided. User access to primary information via a primary device is monitored. Key information related to the primary content is obtained by extracting and analyzing metadata sources for the primary information. Then, supplementary information related to the primary information is obtained based on the key information. The supplementary information is provided for user access via the supplementary device.

Abstract: A method and a system for searching for information using an electronic device, such as a consumer electronic device, that can be connected to a network. Such searching for information involves determining a context for a search for information, forming a search query based on the context of search for information, and performing a contextual search based on the search query. Performing the contextual search further includes performing a query refinement.

Abstract: A method and system for providing information to a user of a device on a local network is provided. This involves obtaining information about current user activity on the local network, obtaining contextual information about current user activity on the local network and obtaining additional information interrelated to the contextual information and the user activity information. Then correlations are identified between the additional information, the contextual information and the user activity information. The correlations are used in forming a query to search for information related to the current user activity, to provide to the user.

Abstract: In a first embodiment of the present invention, a method of interpreting a situation of a user of an electronic device is provided, comprising: gathering social data related to the user; monitoring one or more physical sensors on the electronic device in order to gather physical data related to the user; mapping structured data in the social data and the physical data to internal data types; extracting features from unstructured social data; identifying attributes related to the features; obtaining values for the identified attributes; interpreting movement of the user by examining the physical data; and detecting a situation of the user by fusing the movement of the user with the identified attributes of the features of the unstructured social data and features of structured social data.

Abstract: A system implementing a method for providing sponsored information on an electronic device determines information of interest to the user as relevant information, accesses sponsored information, and provides sponsored information based on said relevant information.

Abstract: A method and system for facilitating information searching for a user of an electronic device is provided. Facilitating searches involves obtaining information about the user interests, identifying potential data of interest to the user, extracting data related to the data of interest to the user, and collecting the extracted related data for presentation to the user on the device.

Abstract: Techniques for assessing the cost of allocation of execution and affecting the allocation of execution are disclosed. The cost of allocation of execution between a first computing device (e.g., mobile device) and one or more computing resource providers (e.g., Clouds) can be determined during runtime of the code. A computing system can operate independently of the first computing device and a computing resource provider and provide execution allocation cost assessment. Execution allocation cost can be assessed based on execution allocation data pertaining to the first computing device and computing resource providers. Power consumption of a mobile device can be used as a factor in determining how to allocate individual components of an application program between a mobile phone and a Cloud. In an Elastic computing environment, external computing resources can be used to extend the computing capabilities beyond that which can be provided by internal computing resources.

Abstract: A system implementing a method for providing sponsored information on an electronic device determines information of interest to the user as relevant information, accesses sponsored information, and provides sponsored information based on said relevant information.

Abstract: A computer-implemented method for managing video contents includes collecting a plurality of keywords related to a topic, the keywords being collected using at least one dynamic data source. One or more sub-topics of the topic are identified using the keywords collected. A topic node in a taxonomy of topics is built, the topic node including a topic identifier for the topic, a child topic identifier for the sub-topics identified, and a keyword section for one or more of the keywords collected. A plurality of videos is organized using the topic node built to assist a user in locating a video of interest.

Abstract: A customizable notification system permits a user of a mobile device to configure notification preferences for different accounts and services that the user subscribes to, such as notification from email, instant messaging, and social networks. A notification viewer on the mobile device provides an aggregated view of notifications coming from different sources, customized according to the user's preferences, such as filter preferences and delivery preferences.

Abstract: Access permission can be assigned to a particular individually executable portion of computer executable code (“component-specific access permission”) and enforced in connection with accessing the services of a service provider by the individually executable portion (or component). It should be noted that least one of the individually executable portions can request the services when executed by a dynamically scalable computing resource provider. In addition, general and component-specific access permissions respectively associated with executable computer code as a whole or one of it specific portions (or components) can be cancelled or rendered inoperable in response to an explicit request for cancelation.

Abstract: A configurable system brings Internet services, designed for PCs, to consumer electronics (CE) devices, and allows using external services such as Internet Services on CE devices. This reduces the need for input devices such as keyboards and mice, thereby making the configurable system suitable for CE devices. The configurable system relies on the structure of HTML/XML embedded in a Web page for information extraction by scrapping. Since cosmetic changes made to the Web site alter the embedded HTML/XML, the configurable system is updated whenever the Web site changes.

Abstract: Techniques for allocating individually executable portions of executable code for execution in an Elastic computing environment are disclosed. In an Elastic computing environment, scalable and dynamic external computing resources can be used in order to effectively extend the computing capabilities beyond that which can be provided by internal computing resources of a computing system or environment. Machine learning can be used to automatically determine whether to allocate each individual portion of executable code (e.g., a Weblet) for execution to either internal computing resources of a computing system (e.g., a computing device) or external resources of an dynamically scalable computing resource (e.g., a Cloud). By way of example, status and preference data can be used to train a supervised learning mechanism to allow a computing device to automatically allocate executable code to internal and external computing resources of an Elastic computing environment.

Abstract: In a first embodiment of the present invention, a method of interpreting a situation of a user of an electronic device is provided, comprising: gathering social data related to the user; monitoring one or more physical sensors on the electronic device in order to gather physical data related to the user; mapping structured data in the social data and the physical data to internal data types; extracting features from unstructured social data; identifying attributes related to the features; obtaining values for the identified attributes; interpreting movement of the user by examining the physical data; and detecting a situation of the user by fusing the movement of the user with the identified attributes of the features of the unstructured social data and features of structured social data.

Abstract: A method and system that facilitates prioritization of tasks available through the devices in a home network. The tasks are user level descriptions of the high-level actions a user and underlying devices can perform. By prioritizing tasks for a user, the present invention aims to minimize the effort required to compare and comprehend the usefulness and feasibility of tasks. In doing so, the number of tasks possible to a user can be reduced and the highest priority task for a given user and device can be used by the application software as the suggested ‘most likely’ task for the user.