Abstract: An information delivery system comprises a receiver component that receives information about the movement, velocity, acceleration, and/or locations over time of a user. A computation component using a predictive model generates a probability distribution relating to one or more of when the user will next be stopped, how long the user will be stopped, how long a pattern of motion, such as walking, driving in stop and go traffic, and smooth highway motion will last, based at least in part upon signals about motion over time. The system can further comprise an alerting component that determines when to provide the user with information based at least in part upon the probability distribution over some aspect of motion or cessation of motion, and optionally the content, or tagged or inferred urgency or importance, of a message or communication.

Abstract: Architecture that employs probabilistic and/or decision-theoretic model(s) of application usage to predict application use and in view of bounded or limited-availability memory. The model(s) is applied with cost-benefit analysis to guide memory management in an operating system, in particular, for both decisions about prefetching and memory retention versus deletion or “paging out” of memory of lower priority items, to free up space for higher value items. Contextual information is employed in addition to computer action monitoring for predicting next applications to be launched. Prefetching is optimized so as to minimize user perceived latencies.

Abstract: The present invention relates to a system and methodology to facilitate collaboration and communications between entities such as between automated applications, parties to a communication and/or combinations thereof. The systems and methods of the present invention include a service that supports collaboration and communication by learning predictive models that provide forecasts of one or more aspects of a users' presence and availability. Presence forecasts include a user's current or future locations at different levels of location precision and usage of different devices or applications. Availability assessments include inferences about the cost of interrupting a user in different ways and a user's current or future access to one or more communication channels. The predictive models are constructed from data collected by considering user activity and proximity from multiple devices, in addition to analysis of the content of users' calendars, the time of day, and day of week, for example.

Abstract: The present invention relates to a system and methodology to facilitate collaboration and communications between entities such as between parties to a communication, automated applications and components, and/or combinations thereof. The systems and methods of the present invention include a service that supports collaboration and communication by learning predictive models that provide forecasts of one or more aspects of a user's presence and availability. Presence forecasts include a user's current location or future locations at different levels of location precision and of the availability to users of different devices or applications. Availability assessments include inferences about the cost of interrupting a user in different ways and a user's current or future access to one or more communication channels that may be supported by one or more devices with appropriate capabilities.

Abstract: A system and method is provided to facilitate communication and collaboration by considering the timing of a user's activities on one or more clients via accessing, from a centralized server, information about the user's client-server interactions. The systems and methods can harness existing protocols and data exchange used in legacy client-server applications for email, making available to one or more client-side message routing applications, information about a user's interactions with email across multiple clients. Applications include considering the time since the last client-server interaction to guide decisions about if, when, and how to route messages so as to limit the mobile relay of information a user has already seen, providing information to colleagues about a user's current or past “inbox presence,” and forecasting the time until a user will have access to a device or communication channel.

Abstract: The present invention relates to a system and method to facilitate providing computer users with efficient access to electronic notifications while minimizing disruption in the context of ongoing tasks. A notification system provides visual information heralds that provide summarizations of notifications to users. An information controller considers the importance or urgency of content and a user's current and/or recent activities in decisions about the rendering and positioning of the information herald on a display screen or screens in order to facilitate user processing of the summarized notifications with minimal disruption to ongoing tasks.

Abstract: The present invention relates to a system and method to facilitate efficient and automated processing of messages. A bulk filter is provided to categorize one or more received messages according to a range of classification, the range spanning from at least a bulk classification of values to at least a non-bulk classification of values. A second filter is provided to further classify the received messages in order to automatically facilitate processing of the messages. The range of classification includes a continuum of values based on a likelihood that the received messages are determined to tend toward or fall within the bulk classification of values or toward/within the non-bulk classification of values. Also, the bulk filter or filters can include an adjustable threshold setting to determine or define differences between the bulk classifications and the non-bulk classifications.

Abstract: The present invention relates to a system and methodology to facilitate collaboration and communications between entities such as between automated applications, parties to a communication and/or combinations thereof. The systems and methods of the present invention include a service that supports collaboration and communication by learning predictive models that provide forecasts of one or more aspects of a users' presence and availability. Presence forecasts include a user's current or future locations at different levels of location precision and usage of different devices or applications. Availability assessments include inferences about the cost of interrupting a user in different ways and a user's current or future access to one or more communication channels. The predictive models are constructed from data collected by considering user activity and proximity from multiple devices, in addition to analysis of the content of users' calendars, the time of day, and day of week, for example.