Systems and methods are provided for retail environments. In one implementation, a non transitory computer-readable medium may include instructions that when executed by a processor cause the processor to perform a method. The method may include determining product availability data indicative of an availability of one or more products on at least one retail shelf in a retail store; using the product availability data to generate a synthetic visual representation of the one or more products on the at least one retail shelf; presenting the synthetic visual representation on a display; receiving from a user an input indicative of a selection of at least a portion of the synthetic visual representation; and in response to receiving the input, presenting on the display an actual image corresponding to the selected at least a portion of the synthetic visual representation, wherein the actual image was acquired with an image sensor.

A system is disclosed for presenting advertisements for products and related products for a consumer based on the products being purchased.

A social networking system provides content items to a user via a feed that may include one or more sponsored content items. Multiple sponsored content items may be included in a set that is presented in the feed via a scrollable content unit that presents a sponsored content item from the set and presents additional sponsored content items from the set when user interaction is received. To place sponsored content items in the feed, the social networking system scores a set of sponsored content items based on prior user interactions with content presented via scrollable content units and a bid amount of a sponsored content item in the set. The set of sponsored content items is ranked among other sponsored content items based on its score. If the set of sponsored content items is selected for inclusion in the feed, the social networking system orders the sponsored content items in the set for presentation via the scrollable content unit.

Systems, and methods for selecting advertisements based on party size and/or engagement are provided. An Internet-connected media display device may be detected as displaying media. An up-to-date party size in a monitored space may be determined based on frequency response data by a wireless access point located close to the space. An up-to-date engagement level may also be determined with respect to each individual in the space based on frequency response data by the wireless access point. An advertisement database may be filtered for a qualifying advertisement based on the identified party size and engagement levels.

A machine is configured to generate in real time personalized online banner images for users based on data pertaining to user behavior in relation to an image of a product. For example, the machine receives a user selection indicating one or more data features associated with the user. The one or more data features include a data feature pertaining to user behavior in relation to an image of a product. The machine generates, using a machine learning algorithm, a data representation of the machine learning algorithm based on the one or more data features including the data feature pertaining to user behavior in relation to the image of the product. The data representation includes one or more data features pertaining to one or more characteristics of online banner images. The machine generates an online banner image for the user based on the data representation.

Systems, methods, and computer program products are provided for auctioning advertising inventory for various applications, including for mobile applications. In various embodiments, a request for an advertisement is received at a first server from a client device. The request is sent, from the first server, to two or more remote servers. A bid value and an asset to be presented at the client device is received from each of the two or more remote servers. A highest bid is determined from the received bid values. Whether the asset associated with the highest bid is compliant based on the request is determined. When the asset is determined to be compliant, the asset is sent to the client device.

An apparatus, system, and methods for displaying information and advertisements in public or private venues including a body portion adapted to a seat structure or other seat supported apparatus, either as a base unit or a retrofit apparatus, wherein the seat structure or seating apparatus may provide the structure and housing for electronics necessary to power and control an electronic display that may be disposed on an adjustable modular bracket system that may be attached to a seat, a seat back, a cupholder, a cupholder attachment apparatus, a portable or mobile device attachment apparatus, which may be accessible, visible, and/or useable by a patron at a public venue.

Described herein is a method and system for automated, context sensitive and non-intrusive insertion of consumer-adaptive content in video. It assesses ‘context’ in the video that a consumer is viewing through multiple modalities and metadata about the video. The method and system described herein analyzes relevance for a consumer based on multiple factors such as the profile information of the end-user, history of the content, social media and consumer interests and professional or educational background, through patterns from multiple sources. The system also implements local-context through search techniques for localizing sufficiently large, homogenous regions in the image that do not obfuscate protagonists or objects in focus but are viable candidate regions for insertion for the intended content. This makes relevant, curated content available to a user in the most effortless manner without hampering the viewing experience of the main video.

In accordance with some aspects of the present disclosure, search input is received from a first user device of a first user (e.g., a first mobile communication device). A location of a second user is determined (e.g., a location of a second mobile communication device). A search is performed using the search input and the location of the second user, and one or more search results are provided to the first user device based on the search. A purchase confirmation for an item included in the one or more search results is received, and pickup information is communicated to a second user device of the second user, enabling the second user to pick up the item from a merchant location.

Embodiments relate to configuring artificial-intelligence (AI) decision nodes throughout a communication decision tree. The decision nodes can support successive iteration of AI models to dynamically define iteration data that corresponds to a trajectory through the tree