Apple Inc.

Jayasurya S Vadrevu

Eswar Priyadarshan

Kenley Sun

Dan Grigorovici

Ravikiran Chittari

Omar T Abdala

Irfan Khasim Mohammed

Jeremy W Rothman-Shore

Andrew Miller

Joseph Cuccinelli

Robert M Schulman

Prasenjit Mukherjee

Rakesh K Aggarwal

Richard R Curtis

John L Jorgensen

In some implementations, a computing device can detect changes in map data based on device activity data received from a mobile device. For example, the device activity data can include location data that describes locations where the mobile devices have traveled, direction, speed, and/or other data. Based on the received location data, the computing device can determine whether stored map data for a particular area accurately reflects the real world characteristics of the particular area. The device activity data can identify user behavior with respect to the mobile device. For example, the characteristics of a real world geographic area may influence how users use their mobile devices (e.g., which applications are used) in the geographic area. The computing device can analyze the user behavior identified in the device activity data to detect changes in the real world characteristics of the geographic area.

Active change detection for geospatial entities using trend analysis

A method for facilitating the rendering of a web page on a mobile device includes providing an enhanced DOM tree for the web page that includes web page components and their display coordinates. A rule set is applied to the DOM tree, thereby selecting components for display on the mobile device. A mobile-device-specific version of the source code is generated based on the selected components.

Displaying content on a mobile device

A present technology intelligently retargets invitational content to a user by maintaining a user profile that includes data descriptive of the user's interaction with invitational content previously presented to the user and making decisions regarding retargeting based on an analysis of the user profile. The information in the user profile is not limited to whether or not the user completed a conversion action associated with invitational content presented. Rather, the profile is expanded to include such information as where on the conversion continuum the user abandoned the process and details of how the invitational content was presented to the user, e.g. colors used, situation, and message. When presented with a request for invitational content, the system uses the profile information to influence which content is selected and how it is presented to the user. This enables the system to re-present invitational content in a form and/or situation where the user is more likely to complete the conversion action.

Presenting content packages based on audience retargeting

Systems and methods are provided for selecting invitational content for users based on their short-term and their long-term features. In operation, responsive to a request from a user terminal for a content package a journal of events associated with a user. Thereafter, short-term and long-term features in the journal are identified and tagged with pre-defined tags indicating a type of content associated with the patterns. The tags are then used to select invitational content by selecting content based on tags for the identified short-term features associated with a threshold level of activity or tags for the identified long-term features.

Selection and delivery of invitational content based on prediction of user interest

The present technology is directed to improving the conversion rate of invitational content that is provided to the user of an interactive, content-receiving-and-displaying device. The content of a large number of primary-content sources is analyzed and keyword and/or other context-providing information is extracted from the primary-content sources. The keyword and/or other context-providing information is used to index the primary-content sources into an index according to a hierarchical taxonomy; the hierarchical taxonometric index is used to identify primary-content sources with which a given item of invitational content correlates; and the given item of invitational content is delivered to a user in response to the user accessing a primary-content source with which the given item of invitational content correlates.

Indexing and tag generation of content for optimal delivery of invitational content

Systems and methods are provided for delivering invitational content based on a prediction of the intent of a user. In particular, partial action sequences are identified in a journal of events associated with the user. Thereafter, the partial sequences are analyzed and scored based on their degree of proximity to completion. Based on this scoring, a queue of invitational content can then be generated, where the scoring can be used to select and order the invitational content for the user. In some configurations, the information in the journal can be used to determine future time intervals at which sequences will be completed by the user. Consequently, a queue can be adjusted to provide delivery of appropriate invitational content at these future time intervals.

Selection and delivery of invitational content based on prediction of user intent

Disclosed are systems and methods for responding to a web page request from a mobile device by providing the network address of a server hosting content formatted for the mobile device. The systems and methods include means and ways for redirecting a request for URL resolution from a DNS server to an enhanced DNS server with facilities to determine the kind of the requesting device, e.g., whether the requesting device is fixed or mobile.

Routing network requests based on requesting device characteristics

Segments used to select content to be targeted to a user are recursively refined based on continuously derived user characteristics. Based on information gathered from new requests for targeted content and/or user interaction with previously delivered content the user is assigned to one or additional targeted segments. The targeted segments can be used to select content to be delivered to the user based on the user's assignment to the targeted segments. Accordingly, each user is grouped into one or more targeted segments and based on the user's inclusion in those segments, requests for targeted content can be served to the user.

Population segmentation

Systems and methods are provided for audience targeting based on a performance history of invitational content from secondary content providers, such as advertisements. In operation, responsive to request from a user for content package, a queue of available invitational content is retrieved. Thereafter, based at least on a performance history of the available invitational content in the queue, a context of the primary content, and a performance history of invitational content previously presented to other users, the queue can be at least partially reordered to provide an adjusted queue. The invitational content for the content package can then be selected based on the adjusted queue.

Network-based targeted content delivery based on queue adjustment factors calculated using the weighted combination of overall rank, context, and covariance scores for an invitational content item

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Saratoga, CA, United States of America

Jayasurya S Vadrevu