Patent application number | Description | Published |
20080215966 | ADAPTIVE SERVER-BASED LAYOUT OF WEB DOCUMENTS - A server anticipates and pre-computes different layouts of online documents and stores them in cache. The layouts are specifically optimized for viewing across a range of display sector sizes. For each document, the layouts are stored in a directory that includes a common dictionary file and a separate layout file for each display sector size. Furthermore, a client requests a document from the server which in response sends the client a handler module which runs in the background on the client, detects the current size of the display sector being used by the client to display pages of the requested document and sends a request to the server for the document's dictionary file and specific layout file corresponding to the current display sector size. In response, the server retrieves these files from cache and sends them to the client. The handler then creates the document from these files. | 09-04-2008 |
20110202427 | Device-Pairing by Reading an Address Provided in Device-Readable Form - A system is described for allowing a user, operating a trusted device, to remotely log into a server via a potentially untrustworthy client. The system operates by establishing a first secure connection between the client and the server. The system then establishes a second secure connection between the device and the server through the client. The user then remotely logs into the server over the second secure connection using the device. The second secure connection is tunneled within the first secure connection, preventing the untrustworthy client from discovering personal information associated with the user. According to one feature, prior to forming the second secure connection, the user can establish a pairing relationship with the client by reading an address of the client using any kind of reading mechanism. According to another feature, the device can receive marketing information in the course of a transaction. | 08-18-2011 |
20120117404 | Decentralized Sleep Management - Techniques for employing a decentralized sleep management service are described herein. In some instances, each computing device of a group of computing devices periodically shares information about itself with each other computing device of the group. With this information, each computing device within the group that is awake and capable of managing other devices selects a subset of devices to probe. The devices then probe this subset to determine whether the probed devices are asleep. In response to identifying a sleeping device, the probing device takes over management of the sleeping device. Managing the sleeping device involves informing other devices of the group that the sleeping device is being managed, in addition to monitoring requests for services on the sleeping device. In response to receiving a valid request for a service hosted by the sleeping device, the managing device awakens the sleeping device and ceases managing the now-woken device. | 05-10-2012 |
20130246637 | Device-Pairing by Reading an Address Provided in Device-Readable Form - A system is described for allowing a user, operating a trusted device, to remotely log into a server via a potentially untrustworthy client. The system operates by establishing a first secure connection between the client and the server. The system then establishes a second secure connection between the device and the server through the client. The user then remotely logs into the server over the second secure connection using the device. The second secure connection is tunneled within the first secure connection, preventing the untrustworthy client from discovering personal information associated with the user. According to one feature, prior to forming the second secure connection, the user can establish a pairing relationship with the client by reading an address of the client using any kind of reading mechanism. According to another feature, the device can receive marketing information in the course of a transaction. | 09-19-2013 |
20140136626 | Interactive Presentations - The description relates to interactive presentation feedback. One example can associate multiple mobile devices with a presentation. This example can receive feedback relating to the presentation from at least some of the mobile devices and aggregate the feedback into a visualization that is configured to be presented in parallel with the presentation. The example can also generate another visualization for an individual mobile device that generated individual feedback. | 05-15-2014 |
20150019204 | FEATURE COMPLETION IN COMPUTER-HUMAN INTERACTIVE LEARNING - A collection of data that is extremely large can be difficult to search and/or analyze. Relevance may be dramatically improved by automatically classifying queries and web pages in useful categories, and using these classification scores as relevance features. A thorough approach may require building a large number of classifiers, corresponding to the various types of information, activities, and products. Creation of classifiers and schematizers is provided on large data sets. Exercising the classifiers and schematizers on hundreds of millions of items may expose value that is inherent to the data by adding usable meta-data. Some aspects include active labeling exploration, automatic regularization and cold start, scaling with the number of items and the number of classifiers, active featuring, and segmentation and schematization. | 01-15-2015 |
20150019461 | INTERACTIVE SEGMENT EXTRACTION IN COMPUTER-HUMAN INTERACTIVE LEARNING - A collection of data that is extremely large can be difficult to search and/or analyze. Relevance may be dramatically improved by automatically classifying queries and web pages in useful categories, and using these classification scores as relevance features. A thorough approach may require building a large number of classifiers, corresponding to the various types of information, activities, and products. Creation of classifiers and schematizers is provided on large data sets. Exercising the classifiers and schematizers on hundreds of millions of items may expose value that is inherent to the data by adding usable meta-data. Some aspects include active labeling exploration, automatic regularization and cold start, scaling with the number of items and the number of classifiers, active featuring, and segmentation and schematization. | 01-15-2015 |
20150242761 | INTERACTIVE VISUALIZATION OF MACHINE-LEARNING PERFORMANCE - Methods, computer systems, computer-storage media, and graphical user interfaces are provided for visualizing a performance of a machine-learned model. An interactive graphical user interface includes an item representation display area that displays a plurality of item representations corresponding to a plurality of items processed by the machine-learned model. The plurality of item representations are arranged according to scores assigned to the plurality of items by the machine-learned model. Further, each of the plurality of item representations is visually configured to represent a label assigned to a corresponding item. | 08-27-2015 |