An online system provides a content data model to content providers for optimizing content creation. The content data model is a hierarchical model with multiple levels for content creation, e.g., campaign level, content item set level and content item level. At each level of the content data model, a content provider can specify certain information concerning the content creation at that level, such as optimization goal for each level. The information specified at each level of the content data model is applied to all elements under that level by the online system during the content creation process. With the content data model, a content provider can efficiently design creative campaigns by specifying objectives, optimization goals, target audiences and budgets, etc., at different design levels. The online system dynamically optimizes content item creation based on information about creatives to be included in a content item for a target user.

Described herein is a method and system for generating product descriptions of vehicles. A request for a customized vehicle publication is received, which includes at least a vehicle type, a set of standard features, and a set of optional features. One or more story templates associated with the vehicle type input are automatically received, where each of the story templates have populatable fields corresponding to the vehicle type, the set of standard features, and the set of optional features. The story templates have a theme correlated to usage of a vehicle having the vehicle type. A selection of a story template is received, and the vehicle characteristics are automatically populated. The completed vehicle product description is then provided.

An advocacy system uses trained machine learning models to create messages that are sent to advocates or policymakers to achieve desired outcomes for an organization. Desired outcomes can include, for example: an advocate sending a message to a policymaker or legislative representative advocating in favor or the organization's position on an issue; a policymaker acting or voting in favor of the organization's position on an issue; or an advocate making a financial contribution to the organization. The machine learning models can be configured to select possible message characteristics or features that the system will include/use in creating/sending messages to/for individual senders and recipients. The machine learning models can be trained based on message characteristics, personal profile characteristics of senders/recipients, and outcomes from previously sent messages. Personal profile characteristics of senders/recipients can indicate correlations between certain message characteristics and certain outcomes of sending messages.

Systems and methods for providing campaign driven offer distribution include receiving, from a service provider device associated with a service provider, first campaign information for a first campaign. A first offer that has been configured to be irredeemable by the first customer and that includes a first offer condition associated with the first campaign information that must be satisfied to reconfigure the first offer to be redeemable by the first customer is provided for display on a first customer device. A notification indicating the first offer condition has been satisfied is received. In response to receiving the notification indicating the first offer condition has been satisfied, the first offer is reconfigured to be redeemable by the first customer. A notification indicating a status change with the first offer that causes the first offer to be displayed on the first customer device is communicated to the first customer device.

Disclosed are systems and methods for improving interactions with and between computers in content providing, searching and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework for performing automatic detection of surfaces in video frames resulting in the creation of a seamless in-video ad experience for viewing users. The disclosed framework operates by leveraging available surfaces in videos to show advertisements in compliance with publisher protection, compliance and policy in a fully automatic, end-to-end solution. The disclosed framework evidences a streamlined, automatic and computationally efficient process(es) that modifies digital content at the surface level within the frames of the content in compliance with the digital rights of the owners of the content being merged via the disclosed augmentation.

Systems, devices, media, instructions, and methods for computer based automated content generation, curation, and presentation are described. In one embodiment a content collection is generated with a first continuous presentation group by associating a first content element from a first content message of the plurality of content messages and a second content element from a second content message of the plurality of content messages to associate the first content element and the second content element as the first continuous presentation group. Advertising element placement within the presentation order for the first media collection is determined, and adjusted to avoid interrupting the continuous presentation group. In other embodiments, various advertising patterns are used and adjusted based on curated presentation groups within content collections.

Devices, systems, and methods are provided for use in interpreting, converting, generating, embedding, presenting, storing and otherwise using mini-banner content. For at least one embodiment, a mini-banner content system may include a secondary content system element which executes non-transient computer executable instructions to configure: a content interpreter to interpret secondary content, identify aspect information, and output the aspect information; a content converter, which when receiving aspect information at least one of retrieves a first element corresponding to the aspect information and/or generates a second element corresponding to the aspect information, and generates a mini-banner content element based upon results of the retrieving operation and/or the generating operation.

An information processing device applies a machine learning model to content for a specific thing for sale to generate changed content in which a predetermined portion other than the specific thing for sale in the content is changed, provides a user with the changed content having been generated, and applies a machine learning model to content for another thing for sale and changes a predetermined portion other than the other thing for sale in accordance with an action of the user with respect to the changed content in the content for the other thing for sale to generate changed content for the other thing for sale.

This document describes the autonomous collection, generation, distribution, and management of online web content. The devices, systems, and methods described herein can be used to collect and generate online web content and communications in an automatic and autonomous manner. Specifically, the disclosed methods, devices, and systems may be employed to produce one or more communications and/or advertising campaigns, as well as for monitoring, managing, defining the efficiency, effectiveness, and workability of the campaign with respect to generating predicted user engagements, thereby accurately determining the cost benefits of the communication campaign. The system may track, evaluate, and provide analytic results that may then be used to better guide the system parameters for customizing autonomous communications directed one or more characteristics of a defined target audience.

The present disclosure is directed to positioning animated images within a dynamic keyboard interface. In particular, the methods and systems of the present disclosure can: receive, from a user device on which an application is executed, data indicating a context of: the application, and/or a dynamic keyboard interface provided in association with the application; identify, based at least in part on the data indicating the context, a plurality of different animated images, including an animated image comprising an advertisement, for presentation by the dynamic keyboard interface; communicate, to the user device, data indicating the plurality of different animated images; receive, from the user device, data indicating a selection of the animated image comprising the advertisement; and determine, based at least in part on the data indicating the selection and the data indicating the context, a position within the dynamic keyboard interface for presenting the animated image comprising the advertisement.