Apple Inc.

Kenley Sun

Eswar Priyadarshan

Dan Grigorovici

Jayasurya S Vadrevu

Thomas M Alsina

David T Wilson

Sagar A Joshi

Omar T Abdala

Nicholas James Paulson

Arvind S Shenoy

Ravikiran Chittari

James Alexander Howard

William Bedford Turner

Tony F Kinnis

Prasenjit Mukherjee

Irfan Khasim Mohammed

The content items presented to a user account as part of a media station can be recorded in a content history index, which can be requested and presented to the user account. The content history can enable a user to revisit the content items included in the content history and/or provide feedback regarding the content items. The version of the content item returned to the user can be based on the client device used to request the content item. For example, a user that was presented a content item on their mobile device, can later request to revisit the content item on their PC and receive a version of the content item best suited for presentation by the PC, rather than the version presented on the mobile device.

Revisiting content history

Systems, methods, and computer-readable storage media for invitational content geofencing. A system first sends, to a server location data associated with the system, the location data being calculated at the system. The system then receives a listing of places of interest within a geofence including a geographical perimeter for identifying places of interest in the listing, the geofence being based on the location data associated with the system. Next, the system selects a place of interest from the listing based on a location of the system. The system then presents a content item associated with the place of interest.

Content geofencing

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 describes creating and delivering a digital content package in a specified input structure to a content server for processing before distribution to client devices. The technology includes receiving one or more creatives, a targeted application, and a manifest associated with the targeted application within the digital content package. The content server uses the manifest to prepare an archive file containing selected resources related to the targeted application. The archive can be optimistically served to a client device along with one or more creatives for display on the client device and linking to the targeted application. A user selection of one of the one or more creatives can cause execution of the targeted application. Accordingly, the present technology leverages the use of the digital content package created by content providers to process new content and serve it to client devices.

Digital content bundle

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

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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Cambridge, MA, United States of America

Kenley Sun