Techniques described herein are directed to interactive elements displayed in multimedia content. In an example, it is determined that multimedia content displays an item offered for sale by a merchant. Based on so determining, an interactive element is rendered that displays a representation of the item offered for sale by the merchant in place of a portion of the multimedia content. When an interaction by a user with the interactive element is detected, a graphical user interface is displayed that is configured to allow the user to purchase the item.

Systems, methods, and apparatuses for implementing, managing, controlling, or otherwise processing customer recurrence data for transactions, such as a transaction between a customer and a resource provider, e.g., a merchant.

In general, embodiments of the present invention provide systems, methods and computer readable media for recommending contextually relevant promotions to consumers in order to facilitate their discovery of promotions that they are likely to purchase from a promotion and marketing service.

Aspects of the subject disclosure may include, for example, receiving, from a first client device, a recommendation pertaining to an advertisement, storing a sender identification in association with an identification of the advertisement, wherein the sender identification includes an identification of the first client device, an identification of a first user of the first client device, or a combination thereof, determining that a score associated with the recommendation exceeds a threshold at least in terms of a likelihood of relevance of the advertisement to a second user of a second client device, based on the determining, transmitting the advertisement to the second client device based on the identification of the advertisement, and based on the determining, transmitting the sender identification to the second client device. Other embodiments are disclosed.

The present invention relates to a meal service management system and an operating method therefor, the system being capable of providing information on food ingested by a user to whom a meal service is to be provided and customized information related thereto, and managing food leftover in a meal service. According to an embodiment of the present invention, a scanner device is used such that a user to whom a meal service is to be provided and a food tray before and after meals are identified, and thus a meal service amount and a leftovers food amount are acquired, and leftovers food information of each user and useful information associated therewith are provided on the basis of the same, and thus users can easily determine their eating habits, nutritional status and the like and the users can be induced to attempt reducing leftovers food by themselves.

To promote a merchant's products on a social networking system, a promotion engine receives data from a merchant site regarding the merchant site's users' activities. The users' purchases of a promoted product are correlated with the user's activities performed in connection with a related product. An automated process running on a computer system then determines promotion criteria for the promoted product, based at least in part on the activities performed in connection with the related product. A promotion for the promoted product is generated and communicated to a social networking system, which displays the promotion to one or more users of the social networking system based on the determined promotion criteria.

An augmented reality customer interaction system includes a transparent panel having a first side and a second side that is opposite to the first side, and a camera device configured to capture visual data from an area adjacent to the second side of the transparent panel. The visual data includes identifying features of a customer located in the area with respect to the second side of the transparent panel. The system further includes a projection system configured to project information on the first side of the transparent panel. The information projected on the first side of the transparent panel may include customer interaction data retrieved from a data store based on the identifying features of the customer.

Advertising audience segment creators, including methods, systems, and apparatuses for automated creation of audience segments in advertising platforms are disclosed herein. Data may be received at a processor of an application server from a remote device. The data may be related to a user of the remote device. An audience member may be retrieved from an audience database. The audience member may correspond to an external identifier of the user. The audience database may be stored on an electronic storage device. The audience member may be assigned to an event. The assigning of the audience member to the event may be based on the data. Assigning the audience member to the event may be based on a refresh interval. The refresh interval may be of an audience segment. The audience segment may be refreshed. The event may be synchronized with an external advertising platform.

A method of providing a content and advertisement customized to a passenger boarding a vehicle includes: receiving passenger information about a passenger from a user terminal of a passenger in a vehicle by a server; determining a passenger's preference based on the passenger information, and selecting a plurality of pieces of content information and a plurality of pieces of advertisement information according to the determined passenger's preference by the server; calculating an estimated travel time for the vehicle to arrive at a destination based on the passenger information by the server; creating a playlist by selecting the content information and the advertisement information such that the total sum of the replay time is at least equal to the estimated travel time among a plurality of pieces of selected content information and a plurality of pieces of selected advertisement information; and transmitting the created playlist to the passenger terminal.

In general, embodiments of the present invention provide systems, methods and computer readable media configured to use a per-set level optimization of the rank order of promotions to be recommended to a consumer. In some embodiments, machine learning is used offline to generate a predictive diversity model that receives one or more similarity rank features associated with a promotion (e.g., category, price band) as input, and produces an output multiplier to be applied to the promotion's respective associated relevance score (e.g., a relevance score representing a prediction of the promotion's conversion rate without diversity features). At run time, per-set optimization of the ordering of a set of promotions is implemented by adjusting the respective associated relevance scores of the promotions using the diversity model and then re-ordering the set of promotions based on their respective adjusted relevance scores.