Abstract:
A software streaming platform may be implemented that predictively chooses units of a program to download based on the value of downloading the unit. In one example, a program is divided into blocks. The sequence in which blocks of the program historically have been requested is analyzed in order to determine, for a given history, what block is the next most likely to be requested. Blocks then may be combined into chunks, where each chunk represents a chain of blocks that have a high likelihood of occurring in a sequence. A table is then constructed indicating, for a given chunk, the chunks that are most likely to follow the given chunk. Based on the likelihood table and various other considerations, the value of downloading particular chunks is determined, and the chunk with the highest expected value is downloaded.
Abstract:
A system and method for identifying and establishing preferred modalities or channels for communications based on participants's preferences and capabilities is provided. In one approach, the system attempts to optimize the inferred or directly accessed preferences of a contactee given the accessed or inferred preferences, capabilities and goals of the contactor while keeping the rationale and context of the contactee private. Such optimization can be achieved using preferences and policies concerning handling the attempted contact based on a deterministic specification or through inferring context, content and task under uncertainty by employing decision-theoretic inferences to attempt to maximize the expected utility of the communication to the contactee. The methods may include a consideration of metadata within a standard schema that is transmitted along with a communication attempt, representing information about such attributes as the identity of the contactor, the task at hand, the overall context of the contactor, and the communication capabilities available to the contactor. The invocation of the communication service may be performed in a variety of ways, including single button invocations, and via a communication service that is more deeply integrated with other applications and functionalities. The service can also include automated rescheduling of communications based on a consideration of forecasts of availability of both the contactor and contactee.
Abstract:
Systems and methods of pre-launching applications in a computer system, said applications being likely to be activated by a user from a terminated and/or suspended process state, are disclosed. The pre-launching of an application may be based on the assessed probability of the application being activated - as well as the level of availability of system resources to affect such pre-launching. Applications may be pre-launched based on these and other conditions/considerations, designed to improve the user's experience of a quick launch of applications in the background. Several prediction models are presented to provide a good estimate of the likelihood of an application being activated by a user. Such prediction models may comprise an adaptive predictor (based on past application usage situations) and/or a switch rate predictor (based on historic data of an application being switched and, possibly, having a decay rate applied to such switch rate measure).
Abstract:
Systems and methods for distributing shared electronic coupons are provided. According to one aspect, the electronic coupon may include a coupon benefit display region displaying a textual and/or graphical representation of a coupon benefit. The electronic coupon may further include a candidate display region displaying a list of one or more friends of user who are determined to be redeemer candidates from among friends in a social network profile or address book of the user. Each redeemer candidate friend in the list has an associated selector, and selection by the user of a selector corresponding to a friend causes the client device to send a message to a coupon server to instruct the coupon server to send the electronic coupon to a client device of the selected friend. Predictive models generated through machine learning may aid in selecting the user to which coupons are distributed and the redeemer candidates.
Abstract:
A long-term personal agent program, executable as network service and/or on one or more user computing devices and related method for identifying opportunities and making recommendations on behalf of one or more users, are disclosed herein. In one example, the personal agent program includes a monitoring engine configured to monitor and interpret a user's activities over time with a plurality of sensing and logging methodologies according to user authorization, use of statistical methods for learning to understand a user's goals and behavioral patterns from data, and use of procedures for computing the expected value of information guiding sensing and logging in different contexts. The personal agent further may include a recommendation methodology configured to make suggestions and to take actions on behalf of the user, in the present moment as well as for future times, based on inferences about user goals and opportunities in the world.
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:
Various embodiments are described for computerized advertising systems and methods. The system may include an ad server that includes an impression campaign engine configured to associate a target user profile with a plurality of computing devices. The ad server is also configured to receive a multi-step impression plan including a plurality of triggers from an advertiser. Each trigger is associated with a different advertisement to be served to at least one of the plurality of devices. The system also includes an ad serving engine configured to serve a first advertisement to a first device in response to making an inference from sensors or detecting a first trigger, and a second advertisement to a second device in response to a second inference or detecting a second trigger, according to the impression plan. A predictive model developed from machine learning may be used to develop a learning- based multi-step impression plan.
Abstract:
The claimed matter provides systems and/or methods that enable sellers and buyers to take mutual advantage of the relationship of the location of seller outlets to routes that mobile buyers take to other destinations. The system can include devices that identify sellers capable of fulfilling a buyer's product or service requirements, generate value functions for the seller based on bidding functions acquired from the seller and related to the product or service requirements of the buyer, compare the value functions associated with multiple sellers to identify a successful seller, and notify the buyer of the location of the successful seller by modifying a route to a pre-established destination to include directions to the successful seller.
Abstract:
A method and apparatus is provided for collecting data and generating synthesized data from the collected data. For example, a request for an image may be received from a requestor and at least one data capture device may be identified as capable of providing at least a portion of the requested image. A request may be sent to identified data capture devices to obtain an image corresponding to the requested image. Multiple images may be received from the data capture devices and may further be connected or stitched together to provide a panoramic, 3-dimensional image of requested subject matter.
Abstract:
A general event composing and monitoring system that allows high-level events to be created from combinations of low-level events. An event specification tool allows for rapid development of a general event processor that creates high-level events from combinations of user actions. The event system, in combination with a reasoning system, is able to monitor and perform inference about several classes of events for a variety of purposes. The various classes of events include the current context, the state of key data structures in a program, general sequences of user inputs, including actions with a mouse-controlled cursor while interacting with a graphical user interface, words typed in free-text queries for assistance, visual information about users, such as gaze and gesture information, and speech information. Additionally, a method is provided for building an intelligent user interface system by constructing a reasoning model to compute the probability of alternative user's intentions, goals, or informational needs through analysis of information about a user's actions, program state, and words. The intelligent user interface system monitors user interaction with a software application and applies probabilistic reasoning to sense that the user may need assistance in using a particular feature or to accomplish a specific task. The intelligent user interface also accepts a free-text query from the user asking for help and combines the inference analysis of user actions and program state with an inference analysis of the free-text query. The inference system accesses a rich, updatable user profile system to continually check for competencies and changes assistance that is given based on user competence.