Abstract:
A statistical methodology is employed for assisting people with the setting of parameters of software applications or services. With the method, information about demographics and/or about the complete or partial preferences of other people, are analyzed to infer recommendations for settings and functionality of a computer application or service. A system is reviewed with the ability to receive data regarding a plurality of users, and stores respective profiles for these users in a community store. The system can leverage off of these completed and/or partially completed profiles of parameters representing preferences about software operation in connection with building new profiles for users (new and/or existing). Data regarding a user that desires to build a new profile is employed in connection with the community profiles to facilitate the user building a personalized profile. Various statistical and/probabilistic schemes can be employed, for example, collaborative filtering techniques to identify to the user the top n settings by particular parameter(s), top m settings by popularity, top x most similar profiles to facilitate the user selecting most appropriate sub-profiles as part of a personalized profile building and selection effort.
Abstract:
Techniques provide time-aware ranking, such as ranking of information, files or URL (uniform resource locator) links. For example, time-aware modeling assists in determining user intent of a query to a search engine. In response to the query, results are ranked in a time-aware manner to better match the user intent. The ranking may model query, URL and query-URL pair behavior over time to create time-aware query, URL and query-URL pair models, respectively. Such models may predict behavior of a query-URL pair, such as frequency and timing of clicks to the URL of the pair when the query of the pair is posed to the search engine. Results of a query may be ranked by predicted query-URL behavior. Once ranked, the results may be sent to the user in response to the query.
Abstract:
Pre-computing a portion of forecasted workloads may enable load-balancing of data center workload, which may ultimately reduce capital and operational costs associated with data centers. Computing tasks performed by the data centers may be analyzed to identify computing tasks that are eligible for pre-computing, and may be performed prior to an actual data request from a user or entity. In some aspects, the pre-computing tasks may be performed during a low-volume workload period prior to a high-volume workload period to reduce peaks that typically occur in data center workloads that do not utilize pre-computation. Statistical modeling methods can be used to make predictions about the tasks that can be expected to maximally contribute to bottlenecks at data centers and to guide the speculative computing.
Abstract:
The present invention relates to a system and method to facilitate efficient and automated presentation of information to users. A decomposition component automatically decomposes an information item into sets of subcomponents in a two- or three-dimensional isometric space, and generates visualizations having interactive graphics that allow users to inspect respective subcomponents. Interface features are provided to enable hover, dwell, and clicking commands, for example, providing a variety of options to zoom in, or change configurations of the visualization in accordance with the users intentions or inferences about what they desire to see or inspect more closely. Beyond the use of decompositions into exploded views of the content of items typically viewed as singular documents, the methods can be applied to perform geometric transformations on visualizations of multiple windows and other resources based on content and activity to provide regularized visualizations of the multiple items. Such exploded views can provide visual geometric summaries of projects, and a set of handles into accessing more detail on the subcomponents of the project.
Abstract:
The present invention relates to a system and methodology to provide a glanceable, interactive user interface associated with one or more prioritized informational items or notifications. Such items can be received from external sources and/or from a notification system, wherein priorities can be assigned by the sources and/or automatically determined by a computer-based prioritization system. The notifications are then arranged and/or located in a graphical display according to the assigned priorities, thus enabling a user to quickly glance at the display and determine how many items are pending, where items have originated from, and what urgency level is associated with respective items. Various shapes, locations, colors, and sounds are utilized in a variety of ergonomic configurations, some controlled by the invocation of a variety of filters and informational lenses to enable users to easily manage a plurality of information sources.
Abstract:
An avatar generator for a virtual environment reflects a physiological characteristic of the user, injecting a degree of reality into the capabilities or appearance. Thereby, many of the incentives of the real world are replicated in a virtual environment. Physiological data that reflect a degree of health of the real person can be linked to rewards of capabilities of a gaming avatar, an amount of time budgeted to play, or a visible indication. Thereby, people are encouraged to exercise. Physiological data that reflect the health and perhaps also mood also improve social interaction in virtual environments. People seeking to meet and become acquainted with particular types of people are not thwarted by the artificiality of avatars. The physiological data can be gleaned from a third party health data collection repository, a healthcare smart card, a real-time physiological sensor (e.g., blood pressure, heart rate, blood glucose, peak flow, pedometer, etc.).
Abstract:
The present invention relates to a system and method to facilitate communications of important messages, communications, or interactions. Policies are introduced that consider a user's current situation, including the cost of interrupting the user, or directly sensed surrogates for such a cost, and decide on a suitable time, within a deadline for delivering the information or establishing a communication. Deadlines for delivery are determined based on the urgency of the information that is inferred or detected from the message sender, type, and content. If a suitable context is not detected within a deadline, the information is delivered at the deadline. If it is determined that a suitable context will not achieved within a deadline, the information is transmitted immediately. Suitable contexts for delivery can be determined via the use of one or more sensors on or near endpoint devices, including accelerometers, microphones, touch sensing, and gaze and head pose detection. Other information, including appointment status as indicated on a user's calendar, the time of day, and previously assessed patterns of availability can be employed in decisions about the deferral of alerts. Endpoint sensors, calendar information, and patterns of availability also may be used to identify the likelihood that information will be received at a device. Such information can be passed back directly or in a summary form as the likelihood of transmission success to a central notification manager or used locally in decisions about the salience and repetition of alerting.
Abstract:
Velocity information can be beneficial to various entities including other vehicles and a central traffic monitoring and routing system. Vehicles with sensors can serve as velocity probes to update speeds that are shared via a more global service. However, individuals may be reluctant to provide location and velocity information given privacy preferences. Local policies about sharing personal data are described that can be harnessed to enhance privacy while minimizing communication costs. The local data-sharing policies allow devices to monitor their own speeds and locations and to employ models and analyses that determine the value of sharing flow information with a larger service in accordance with privacy preferences, and to make local decisions as to when to respond to broadcasted queries for specific information, while minimizing the redundancy of signals from multiple vehicles.
Abstract:
Techniques and systems are provided that work to minimize the energy usage of computing devices by building and using models that predict the future work required of one or more components of a computing system, based on observations, and using such forecasts in a decision analysis that weighs the costs and benefits of transitioning components to a lower power and performance state. Predictive models can be generated by machine learning methods from libraries of data collected about the future performance requirements on components, given current and recent observations. The models may be used to predict in an ongoing manner the future performance requirements of a computing device from cues. In various aspects, models that predict performance requirements that take into consideration the latency preferences and tolerances of users are used in cost-benefit analyses that guide powering decisions.
Abstract:
The claimed subject matter relates to an architecture or extension to a window manager. In particular, the extension can provide for a window rotation feature that can be exposed as a rotate button. Additionally or alternatively, the rotation feature can be activated based upon a diverse set of conditions, events, and/or commands. Upon activation of the rotation feature, the window manager can rotate a window about an axis to expose a secondary surface that can be populated with alternative content that is distinct from the content of the primary surface of the window. In addition, the architecture provides techniques for identifying both double-sided graphical objects and potentially double-sided objects.