Provided is a two-dimensional (2D) image processing method including obtaining a 2D image, processing the obtained 2D image by using a trained convolutional neural network (CNN) to obtain at least one camera parameter and at least one face model parameter from the 2D image, and generating a three-dimensional (3D) face model, based on the obtained at least one camera parameter and at least one face model parameter.

Techniques and mechanisms described herein facilitate providing dynamic digital object placement in a video stream. An exchange network for engagements within video streaming content is maintained, and a number of engagement entities and content providers are connected to the exchange network. An engagement proposal is received from an engagement entity in the exchange network, containing media assets for an engagement and proposed engagement information. Content provider requirements are also received from a content provider in the exchange network, containing content provider requirements and one or more engagement surfaces associated with a video stream. The exchange network determines that the received engagement proposal matches the received content provider requirements. Once the exchange network matches the two entities, the media assets from the engagement entity are dynamically inserted into the video stream published by the content provider by mapping the media assets to the one or more engagement surfaces.

The present disclosure is directed to a system and method to allow sellers of products to establish individual products in a multilevel marketing (MLM) commission system, where the product is offered and sold to a first purchaser—who then actively by requesting a code, or passively, through the purchase of the product, becomes a user of the commission system. This user is provided a code such that the code may be passed onto followers of the registered user. The registered user will be allowed to advertise the product to a second purchaser and the second purchaser will be allowed to purchase the product and provide advertisements to other purchasers. Commissions paid to respective downline purchasers for a single product may be limited by a preset number of defined levels. After a product is purchased, commissions are paid out to each respective purchaser according to the defined commission levels. The system may integrate with other MLM organizations, detect potential product conflicts, and alter the commission plan for users that are members of that organization.

An example system disclosed herein includes an analyzer to determine a first priming characteristic of media at a first location based on first neuro-response data and determine a second priming characteristic of the media at the second location based on second neuro-response data. The example system includes a selector to select a third location in the media after the first location or a fourth location in the media after the second location as a candidate location for introduction of advertising material based on the first priming characteristic and the second priming characteristic. The selector is to select the third location when the first priming characteristic indicates increased receptivity to the advertising material at the first location relative to the second priming characteristic and select the fourth location when the second priming characteristic indicates increased receptivity to the advertising material at the second location relative to the first priming characteristic.

Methods and systems for generating recommendations are disclosed. In some examples, from a set of positive reviews associated with a merchant offering, at least one attribute is identified and associated with the set of positive reviews, based on reviewer profiles associated with each respective positive review. The attribute is associated with the merchant offering. A match is determined between a customer attribute in a first customer profile and the at least one attribute. A set of recommendations is generated to be presented, via a customer electronic device, to a customer associated with the first customer profile, the set of recommendations including the merchant offering associated with at least one attribute.

Disclosed are methods, systems, and non-transitory computer-readable medium for optimizing user experience with respect to email journeys. For example, a method may include determining a first development subset, a first quality assurance subset, and a first production subset of a first plurality of user identifiers; determining and transmitting a first development set of messages, a first quality assurance set of messages, and a first production set of message; determining a development performance indicator, a quality assurance performance indicator, and a production performance indicator based on one or more messages received in response to the transmitted first development set of messages, first quality assurance set of messages, and first production set of message, respectively.

An example operation includes one or more of retrieving a first amount of energy, by an originating transport, of a minimum amount of energy on a target transport, based on an expended energy by the originating transport to reach a meeting location, provide a needed service, and an estimated expended energy by the originating transport to return to an original location, and retrieving a second amount of energy, by the originating transport, of the minimum amount of energy on the target transport, based on a factor related to providing the service, wherein the factor is greater than the expended energy and the estimated expended energy.

One or more computing devices, systems, and/or methods for generating dynamic content item recommendations are provided. Content item information, extracted from message data, is aggregated to calculate popularity and attributes of content items. The content items are ranked based upon the popularity and attributes to generate a ranked list of content items. Exploration traffic is served utilizing a set of eligible content items selected from the ranked list of content items. An eligible content item is promoted for participation in auctions for serving non-exploration traffic based upon the eligible content item being served a threshold number of times.

A customer who manages a social media service may interact with a business regarding a product. A computerized system associated with the business may detect this interaction and analyze a social media network of the customer on the social media service. The system may identify a set of users that are connected to the customer on the social media network with high potential to promote and/or consume the product of the business. The system may track social media messages sent to these users by the customer regarding the product as the social media messages traverse through the social media service and result in sales. The system may provide an incentive to the customer in response to the social media message resulting in a sale.

A method including receiving a digital promotion payload from a brand manufacturer for at least one branded consumer packaged good, the digital promotion payload including a digital promotion value associated with the branded consumer packaged good, is provided. The method includes receiving a bid request to the digital promotion engine, providing a bid response to the bid request, the bid response including the digital promotion payload, and receiving, from the supply side platform, a confirmation that the bid response has been selected from one or more bids from different digital advertising entities. The method includes providing a command to the supply side platform to deliver the digital promotion payload to a mobile device accessing a resource from the mobile display publisher, and loading the digital promotion value to a frequent shopper identification in response to a consumer interaction with the digital promotion payload detected from the mobile device.