Abstract:
Systems and techniques, including computer software, for retrieving information to a mobile device involve installing a data retrieval application on the mobile device. The data retrieval application includes instructions for presenting a structured data display on the mobile device, defining a structure of the structured data display, requesting selected hyperlinks included in the structured data display, and rendering markup language information received in response to the selected hyperlinks. A user request to retrieve data through the data retrieval application is received, and data is retrieved in response to the received user request. The retrieved data is displayed according to the structure of the structured data display, and a user can select a hyperlink in the displayed data to retrieve and render markup language information using the data retrieval application.
Abstract:
Ad rendering parameters for a set of two or more ads may be determined by (a) accepting, for a set of two or more ads, ad information including at least one ad feature having a value that depends on ad rendering parameters, and (b) determining ad rendering parameters for at least one ad from the set of two or more ads using the accepted ad information. Ad rendering parameters may be determined using accepted ad rendering constraints. The ad rendering constraints may include space available and/or a maximum number of ads permitted to be rendered. The act of determining ad rendering parameters may include maximizing a value associated with serving at least one ad from the set of two or more ads with ad rendering parameters subject to the ad rendering constraints. The ad rendering parameters may include sizes of the served ads, and/or a layout of the served ads.
Abstract:
The efficient allocation of advertisements, also known as creatives, on one or more web sites is provided for while ensuring that guarantees to advertisers are honored. In one embodiment, a linear program solver allocates creatives to advertising slots according to an optimizing function designed to maximize revenue for the site. The linear program solver takes as input a set of creatives, creative performance data, constraints, and slot identifiers. The output of the linear program solver is an optimized schedule not violative of any of the input constraints.
Abstract:
A computer-implemented method of providing text entry assistance data includes receiving at a system location information associated with a user, receiving at the system information indicative of predictive textual outcomes, generating dictionary data using the location information, and providing the dictionary data to a remote device.
Abstract:
Systems, methods, devices, and computer program products provide social and interactive applications for mass media based on real time ambient-audio and/or video identification. In some implementations, a method includes: receiving descriptors identifying ambient audio associated with a media broadcast; comparing the descriptors to one or more reference descriptors; and determining a rating for the media broadcast based at least in part on the results of the comparison.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predicting user interests. In one aspect, a method includes training a prediction model to generate a category prediction of a next query from a set of queries, the category prediction specifying categories to which a next query belongs, the prediction model comprising a plurality of prediction functions that each generate a category prediction of a next query, wherein the prediction functions include two or more of a time-based prediction functions that generate a category prediction based on the category data and a difference of submission times of the queries, a rank-based prediction functions that generate a category prediction based on the category data and a rank order by which the queries were received, and a category-based prediction function that generates a category prediction based on the category data.
Abstract:
Systems and techniques for producing graphical user interfaces on handheld mobile devices include generating a markup language code defining a graphical user interface component for display on the handheld mobile device and rendering the generated markup language code to produce the graphical user interface component. In some cases, the graphical user interface component includes at least one adaptable attribute based on a selection made by a user. In other cases, a graphical user interface component is generated using static markup language code or a combination of static and dynamically generated markup language code. Graphical user interface components defined by markup language codes can be displayed in an overall graphical user interface along with components that are native to the device and/or that are defined by an application development platform.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for three-dimensional shape capture. In one aspect, a method includes displaying a first, a second and a third illumination patterns on a display screen, and capturing a first, a second and a third image of an object while the first, the second and the third illumination patterns are respectively displayed. The method further includes determining the three-dimensional shape of the object based on the captured images.
Abstract:
A computer-implemented method for generating results for a client-requested query involves receiving a query produced by a client communication device, generating a result for the query in response to reception of the query, determining one or more predictive follow-up requests before receiving an actual follow-up request from the client device, and initiating retrieval of information associated with the one or more predictive follow-up requests, and transmitting at least part of the result to the client device, and then transmitting to the client device at least part of the information associated with the one or more predictive follow-up requests.
Abstract:
Implementations consistent with the principles described herein relate to ranking a set of images based on features of the images determine the most representative and/or highest quality images in the set. In one implementation, an initial set of images is obtained and ranked based on a comparison of each image in the set of images to other images in the set of images. The comparison is performed using at least one predetermined feature of the images.