Apple Inc.

Admobius, Inc.

Dan Grigorovici

Eswar Priyadarshan

Omar T Abdala

Kenley Sun

Jayasurya S Vadrevu

Ravikiran Chittari

Prasenjit Mukherjee

Hao Duong

Irfan Khasim Mohammed

Eswar Priyadershan

The determination of a unique user is discussed in response to receiving a dataset comprising multiple user identifiers (IDs). In some cases the user IDs may be of a different type. User IDs may be compared directly to determine whether they correspond to a unique user. Network transactions and attributes associated with those network transactions may be compared to determine a probability of whether two user IDs correspond to a unique user. Network transactions and attributes associated with those network transactions may also be compared to determine that two user IDs do not correspond to a unique user.

Cookieless management translation and resolving of multiple device identities for multiple networks

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

Systems and methods for planning and booking advertising campaigns are provided. In operation, a booking engine generates a collection of proposed campaigns in response to a campaign request, where the each of the proposed campaigns corresponds to a scenario of atom availability. Such scenarios can account for possible or anticipated changes in the number and cost of atoms or any other changes of interest to the advertiser. The availability for the atoms in the campaign request can be projected using the past history and the known future unavailability of the atoms and is further modified to account for the variation in atom availability associated with each scenario. Thereafter, the booking engine can present the results for each scenario to the advertiser and allow him to select a campaign.

Forecasting and booking of inventory atoms in content delivery systems

Systems and methods for managing electronic content from multiple content providers in a dynamic environment are provided. In operation, an advertiser can plan and book an electronic advertisement campaign by providing a campaign request specifying a requested inventory slot of atoms in an inventory space and other associated data. Thereafter, a proposed campaign can be generated based on an estimated availability of the atoms and any performance criteria specified by the advertiser. Once the proposed campaign is accepted and booked, the proposed campaign can be managed along with other active campaigns. These active campaigns can be managed based on a relative priority of the campaigns and an estimated availability for the atoms in the inventory space.

Booking and management of inventory atoms in content delivery systems

Invitational content targeted to a particular behavior can be served to the user when the user is likely to reproduce a desired behavior. The user is classified into one or more spatial-temporal segments based on an analysis of the user's characteristics and the user's past behavior. When a request is made for an item of invitational content, a spatial-temporal segment is selected based on a substantial likelihood that the current context will lead to a repeat of the representative past behavior. An item of invitational content associated with the selected segment is then served to the user.

Location-intention context for content delivery

Systems and methods are provided for selecting content based on user interactions with content previously presented to a user but failing to generate a conversion. In operation, a content delivery system delivers a content package to a user terminal, where the content package includes a content designed to elicit a pre-defined response, such as a conversion. The user terminal then presents the content to a user and generates a journal of events occurring in response to the content package. The journal is then used to determine the proximity of the events in the journal to the pre-defined response. If the degree of proximity to the desired response is high, the user is likely prepared to complete the conversion and therefore a same or similar content can be selected for the user terminal. Otherwise, new content can be delivered to the user terminal.

Content delivery based on user terminal events

Systems and methods are provided for selecting contexts for new invitational content and invitational content for new contexts. In particular, a performance history of delivered invitational content in known contexts is combined with similarity measures for the delivered invitational content, with respect to a new invitational content, to generate a list of potential contexts for the new invitational content. Similarly, a performance history of in known contexts with delivered invitational content can combined with similarity measures for known contexts, with respect to a new context, to generate a list of potential content for the new context. Further, a combination of these methods can be used to pair new invitational content with new contexts.

Predicting content and context performance based on performance history of users

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

Growing community of inventors

Pleasanton, CA, United States of America

Dan Grigorovici