Patent application number | Description | Published |
20120331090 | COMPUTING SYSTEM FOR MANAGING DATA - Various embodiments are described for systems and methods for managing data. The system may include a device group configured for peer-to-peer communications, the device group including a computing device and one or more peer computing devices. The system includes a cross device application programming interface (API) that is implemented as a device group API client executed on the computing device and each of the peer computing devices. Each device group API client includes a permissions module that is configured to determine whether a request satisfies a device-group-specific permission for access to data stored on any device associated with the device group. Upon authorization of the request, a file storage module is configured to retrieve and output the requested file. | 12-27-2012 |
20130006738 | SHARED ELECTRONIC INCENTIVES AND COUPONS LEVERAGING SOCIAL CONNECTIONS AND SHEPHERDING - 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 the 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. | 01-03-2013 |
20130006754 | MULTI-STEP IMPRESSION CAMPAIGNS - 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. | 01-03-2013 |
20130006794 | ONLINE MARKETPLACE WITH OFFER/BID POOLING - Systems and methods for facilitating purchase transactions through real-time dynamic marketplace sessions are provided. A method may include pooling offers for goods/services to form a pooled offer, and pooling bids to form a pooled bid. The pooled offer and the pooled bid may be matched to form a pooled offer/bid pair. Methods for inducing and using predictive models for successful configuration of properties and participants with machine learning procedures that operate on data about successful and unsuccessful offers may be employed. A real-time dynamic marketplace session may be established between offer agents associated with the pooled offers and bid agents associated with the pooled bids. Upon a successful conclusion to the negotiation, a purchase transaction for the pooled offer/bid pair may be processed. | 01-03-2013 |
20130006904 | PERSONAL LONG-TERM AGENT FOR PROVIDING MULTIPLE SUPPORTIVE SERVICES - 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, the use of statistical methods for learning to understand a user's goals and behavioral patterns from data, and the 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. | 01-03-2013 |
20130117272 | SYSTEMS AND METHODS FOR HANDLING ATTRIBUTES AND INTERVALS OF BIG DATA - Data management techniques are provided for handling of big data. A data management process can account for attributes of data by analyzing or interpreting the data, assigning intervals to the attributes based on the data, and effectuating policies, based on the attributes and intervals, that facilitate data management. In addition, the data management process can determine relations among data in a data collection and generate and store approximate results concerning the data based on the attributes, intervals, and the policies. | 05-09-2013 |
20130159228 | DYNAMIC USER EXPERIENCE ADAPTATION AND SERVICES PROVISIONING - The subject disclosure generally relates to dynamic user experience adaptation and services provisioning. A user experience component can provide a user experience (UX) to a user. The UX can include, but is not limited to, an operating system, an application (e.g., word processor, electronic mail, computer aided drafting, video game, etc.), a user interface, and so forth. A monitoring component can monitor feedback generated in association with interaction with the user experience by the user. An update component can analyze the feedback, and update a user model associated with the user based at least in part on the analysis, and an adaptation component can modify the user experience based at least in part the user model. | 06-20-2013 |