Abstract: Disclosed is a novel system and method for indicating a probability of errors in multimedia content. The system determines a user state or possible user distraction level. The user distraction level is indicated in the multimedia content. In one example, work is monitored being performed on the multimedia content. Distractions are identified while the work is being monitored. A probability of errors is calculated in at least one location of the multimedia content by on the distractions that have been identified. Annotations are used to indicate of the probability of errors. In another example, the calculating of probability includes using a function F(U,S,P) based on a combination of: i) a determination of user state (U), ii) a determination of sensitivity (S) of user input, and iii) a determination of user characteristics stored in a profile (P).

Abstract: A program code execution is monitored. Variable type and value information the one or more variables in the program code take during the execution of the program code are stored, and compiled over multiple execution of the program code as historical run-time execution traces. A code editor user interface may present the historical run-time execution traces for inspection, whether or not the program code is currently executing. Statistical properties associated with the variable type and value information may be computed. Future variable type and value the one or more variables might take during future execution of the program code may be predicted.

Abstract: A program code execution is monitored. Variable type and value information the one or more variables in the program code take during the execution of the program code are stored, and compiled over multiple execution of the program code as historical run-time execution traces. A code editor user interface may present the historical run-time execution traces for inspection, whether or not the program code is currently executing. Statistical properties associated with the variable type and value information may be computed. Future variable type and value the one or more variables might take during future execution of the program code may be predicted.

Abstract: Detecting propensity profile for a person may comprise receiving artifacts associated with the person; detecting profile characteristics for the person based on the artifacts; receiving a plurality of predefined profiles comprising a plurality of characteristics and relationships between the characteristics over time, each of the plurality of predefined profiles specifying an indication of propensity; matching the profile characteristics for the person with one or more of the plurality of predefined profiles; and outputting one or more propensity indicators based on the matching, the propensity indicators comprising at least an expressed strength of a given propensity in the person at a given time.

Abstract: A system, method and computer program product for composing persistent object instances that link resources across multiple, disparate systems. An example method includes associating resources with namespace-URLs and object instances. One of the namespace-URLs is designated as primary namespace-URL. A web-based object API is provided through which the object instance can be accessed. The web-based object API uses the primary namespace-URL as an identifier of the object instance.

Abstract: Disclosed is a novel system and method for indicating a probability of errors in multimedia content. The system determines a user state or possible user distraction level. The user distraction level is indicated in the multimedia content. In one example, work is monitored being performed on the multimedia content. Distractions are identified while the work is being monitored. A probability of errors is calculated in at least one location of the multimedia content by on the distractions that have been identified. Annotations are used to indicate of the probability of errors. In another example, the calculating of probability includes using a function F(U,S,P) based on a combination of: i) a determination of user state (U), ii) a determination of sensitivity (S) of user input, and iii) a determination of user characteristics stored in a profile (P).

Abstract: Detecting propensity profile for a person may comprise receiving artifacts associated with the person; detecting profile characteristics for the person based on the artifacts; receiving a plurality of predefined profiles comprising a plurality of characteristics and relationships between the characteristics over time, each of the plurality of predefined profiles specifying an indication of propensity; matching the profile characteristics for the person with one or more of the plurality of predefined profiles; and outputting one or more propensity indicators based on the matching, the propensity indicators comprising at least an expressed strength of a given propensity in the person at a given time.

Abstract: Disclosed is a novel system and method for indicating a probability of errors in multimedia content. The system determines a user state or possible user distraction level. The user distraction level is indicated in the multimedia content. In one example, work is monitored being performed on the multimedia content. Distractions are identified while the work is being monitored. A probability of errors is calculated in at least one location of the multimedia content by on the distractions that have been identified. Annotations are used to indicate of the probability of errors. In another example, the calculating of probability includes using a function F(U,S,P) based on a combination of: i) a determination of user state (U), ii) a determination of sensitivity (S) of user input, and iii) a determination of user characteristics stored in a profile (P).

Abstract: A program code execution is monitored. Variable type and value information the one or more variables in the program code take during the execution of the program code are stored, and compiled over multiple execution of the program code as historical run-time execution traces. A code editor user interface may present the historical run-time execution traces for inspection, whether or not the program code is currently executing. Statistical properties associated with the variable type and value information may be computed. Future variable type and value the one or more variables might take during future execution of the program code may be predicted.

Abstract: A set of to-do items may be obtained. A specified window of time may be received. A subset of the to-do items may be automatically prioritized as candidate tasks to be performed during the specified window of time. A prioritized subset of the to-do items may be presented. Based on one or more criteria, the mode of interaction with a user with respect to the to-do items may be in virtual universe.

Abstract: A set of to-do items may be obtained. A specified window of time may be received. A subset of the to-do items may be automatically prioritized as candidate tasks to be performed during the specified window of time. A prioritized subset of the to-do items may be presented. Based on one or more criteria, the mode of interaction with a user with respect to the to-do items may be in virtual universe.

Abstract: A method of providing a user interface with recipient status information, in one aspect, may comprise detecting a message (e.g., online message such as instant messaging, chat, etc.) being initiated by a first user to a second user; gathering information associated with the second user; analyzing the gathered information; predicting a state of the second user based on the analyzing; and determining a notification action based on the predicted state of the second user, the notification action notifying the first user of the second user's state; and presenting a notification comprising one or more of graphical, textual, auditory, or tactile indications or combinations thereof to the first user.

Abstract: A system and computer product for validating the consistency between quantitative and natural language textual evaluations. An example method involves computing a numeric score for a textual evaluation, comparing the numeric score to a quantitative evaluation, and producing a rating based on the similarity of the two evaluations.

Abstract: A system and computer product for validating the consistency between quantitative and natural language textual evaluations. An example method involves computing a numeric score for a textual evaluation, comparing the numeric score to a quantitative evaluation, and producing a rating based on the similarity of the two evaluations.

Abstract: Real-time microfinancing, in one aspect, concerns the fulfillment of a funding request in real time. The funding request is matched against a candidate set of funding providers based one or more criteria specified by the funding providers. The candidate set of funding providers are notified. The funds may be transferred from one or more accounts of one or more of the candidate set of funding providers to an account of the funding requester.

Abstract: A system, method and computer program product for product that enables users of broadcast messaging systems to more expediently and efficiently find communities, both for subscribing and for sending messages. The system, method and computer program product provides an end-user with the ability to send messages for delivery to more targeted communities of messaging users. In this aspect, the system and method determines one or more attributes of messaging activity associated with one or more communities of users communicating messages in a messaging system; and, displays via an interface, a graphical representation of the attributes and inter-relationships between the attributes. The user may then select via the interface a recipient community for receiving a message to be sent based on the graphical representation displayed.