Abstract: Systems and methods may provide for establishing a data usage budget based on one or more of user input and historical usage data, wherein the data usage budget distinguishes between usage types and distinguishes between connection types. Additionally, a data usage of one or more client devices may be monitored in accordance with the data usage budget. In one example, the usage types are designated as one or more of a high bandwidth usage and a low bandwidth usage and the connection types are designated as one or more of a capped connection and a non-capped connection.

Abstract: A method for input detection at a computing device includes receiving, from a camera, a plurality of images depicting a user hand. The plurality of images are processed to detect a plurality of user intent parameters, including a predefined activation gesture performed by the user hand. Responsive to the plurality of user intent parameters satisfying a gesture input activation condition, the plurality of images are processed to detect a movement of the user hand consistent with a predefined input gesture. The predefined input gesture is mapped to a computer control action, and the computer control action is performed in response to the predefined input gesture.

Abstract: Systems and methods may provide for establishing a data usage budget based on one or more of user input and historical usage data, wherein the data usage budget distinguishes between usage types and distinguishes between connection types. Additionally, a data usage of one or more client devices may be monitored in accordance with the data usage budget. In one example, the usage types are designated as one or more of a high bandwidth usage and a low bandwidth usage and the connection types are designated as one or more of a capped connection and a non-capped connection.

Abstract: Systems and methods may provide for establishing a data usage budget based on one or more of user input and historical usage data, wherein the data usage budget distinguishes between usage types and distinguishes between connection types. Additionally, a data usage of one or more client devices may be monitored in accordance with the data usage budget. In one example, the usage types are designated as one or more of a high bandwidth usage and a low bandwidth usage, and the connection types are designated as one or more of a capped connection and a nan-capped connection.

Abstract: Systems and methods may provide for establishing a data usage budget based on one or more of user input and historical usage data, wherein the data usage budget distinguishes between usage types and distinguishes between connection types. Additionally, a data usage of one or more client devices may be monitored in accordance with the data usage budget. In one example, the usage types are designated as one or more of a high bandwidth usage and a low bandwidth usage, and the connection types are designated as one or more of a capped connection and a nan-capped connection.

Abstract: Systems and methods may provide for establishing a data usage budget based on one or more of user input and historical usage data, wherein the data usage budget distinguishes between usage types and distinguishes between connection types. Additionally, a data usage of one or more client devices may be monitored in accordance with the data usage budget. In one example, the usage types are designated as one or more of a high bandwidth usage and a low bandwidth usage, and the connection types are designated as one or more of a capped connection and a non-capped connection.

Abstract: Systems and methods may provide for establishing a data usage budget based on one or more of user input and historical usage data, wherein the data usage budget distinguishes between usage types and distinguishes between connection types. Additionally, a data usage of one or more client devices may be monitored in accordance with the data usage budget. In one example, the usage types are designated as one or more of a high bandwidth usage and a low bandwidth usage, and the connection types are designated as one or more of a capped connection and a non-capped connection.

Abstract: Methods, systems, and computer program products that inform the user as to how best to speak or otherwise interact with others in a particular social context. Sensors may be used to capture information about a user's surroundings in near real time. This information represents contextual inputs that may be used to identify the particular social context. Once the context is identified, one or more behavioral recommendations may be generated, particular to this context, and provided to the user. In an embodiment, a determination of behavioral recommendations may also be informed by the user's input of a persona which he wishes to express in this context.

Abstract: Systems and methods may provide for establishing a data usage budget based on one or more of user input and historical usage data, wherein the data usage budget distinguishes between usage types and distinguishes between connection types. Additionally, a data usage of one or more client devices may be monitored in accordance with the data usage budget. In one example, the usage types are designated as one or more of a high bandwidth usage and a low bandwidth usage, and the connection types are designated as one or more of a capped connection and a non-capped connection.

Abstract: Embodiments of apparatus and methods for configuring user customizable operational features of a vehicle are described. In embodiments, an apparatus may include a communication module configured to be disposed in the vehicle, and communicate with a mobile device a user. The apparatus may further include a controller configured to be disposed in the vehicle and coupled with the communication module, to obtain from the mobile device, one or more preferences of the user for one or more user customizable features of the vehicle, and adjust the one or more user customizable operational features of the vehicle based at least in part on the one or more preferences of the user obtained. Other embodiments may be described and/or claimed.

Abstract: Methods, systems, and computer program products that inform the user as to how best to speak or otherwise interact with others in a particular social context. Sensors may be used to capture information about a user's surroundings in near real time. This information represents contextual inputs that may be used to identify the particular social context. Once the context is identified, one or more behavioral recommendations may be generated, particular to this context, and provided to the user. In an embodiment, a determination of behavioral recommendations may also be informed by the user's input of a persona which he wishes to express in this context.

Abstract: Systems and methods may provide for establishing a data usage budget based on one or more of user input and historical usage data, wherein the data usage budget distinguishes between usage types and distinguishes between connection types. Additionally, a data usage of one or more client devices may be monitored in accordance with the data usage budget. In one example, the usage types are designated as one or more of a high bandwidth usage and a low bandwidth usage, and the connection types are designated as one or more of a capped connection and a non-capped connection.

Abstract: Embodiments of apparatus and methods for configuring user customizable operational features of a vehicle are described. In embodiments, an apparatus may include a communication module configured to be disposed in the vehicle, and communicate with a mobile device a user. The apparatus may further include a controller configured to be disposed in the vehicle and coupled with the communication module, to obtain from the mobile device, one or more preferences of the user for one or more user customizable features of the vehicle, and adjust the one or more user customizable operational features of the vehicle based at least in part on the one or more preferences of the user obtained. Other embodiments may be described and/or claimed.

Abstract: A user interface content personalization system is described. An apparatus may comprise a content personalization application operative on a processor circuit to present personalized content on a user interface. The content personalization application may comprise a content descriptor component operative to associate content with one or more content descriptors; a content search component operative to present search results on a user interface, the search results being selected from the content based on one or more search terms; a descriptor selection component operative to receive, by the transceiver, a descriptor selection enabled by a graphical user interface element accessible from the user interface; and a search results personalization component operative to generate personalized search results based on the descriptor selection, the search results personalization component to provide personalized search results on the user interface without re-entry of the one or more search terms.

Abstract: A method, device, and system for generating a list of recipe recommendations includes determining the type and quantity of ingredients available to a user of a mobile computing device or smart storage. The available ingredients may be determined using text input or voice input from the user. A camera may also be used to capture images of the available ingredients for analysis. The list of recipes may be generated as a function of the type and quantity of available ingredient(s), meal preferences of the user, and the context of the meal. Recipe complements and/or supplements may be suggested in response to the user selecting a recipe from the list of recipe recommendations.