Methods and systems for matching a consumer to benefits offered by enabling organizations provide flexibility and utility to consumers in the marketplace for various products. Information about benefits and enabling organizations are provided and stored in a memory of a computer system. A search query including consumer interest data of a consumer, or results of such a search query, are received. The enabling organization information, benefit information, and search query or information related to the search query results are analyzed automatically in the computer system to provide analysis results, to determine whether any enabling organization to which the consumer is affiliated is offering a benefit for the consumer that is applicable to the said consumer interest data. A message is sent to the consumer including the analysis results based on the query or query results, to inform the consumer of an available benefit applicable to the consumer interest data.

A system and method for assessing personal preferences and interests of end-users by engaging one or more end-users in a game in which the end-user may be given a chance to win a product item from a collection of product items selected by the end-user.

A computer process enables a target window associated with a first domain to receive a message from a child window associated with a second domain. The message is passed using an iframe that is created within the target window. The process may, for example, be used to relay information entered by a user into the child window to the target window.

Aspects of the present disclosure involve systems, methods, devices, and the like for tokenizing offers. The current disclosure presents a system and method that can present a tokenized offer for saving and retrieving from a digital wallet. The tokenized offer may be presented on a client site for selection by a user interested in taking advantage of the promotion without having to leave the current site. The current disclosure also presents a system that can retrieve the tokenized offer saved for use with a purchase. The tokenized offer may be automatically applied and on display at the merchant site and/or retrieved from the digital wallet.

A user identifies products offered by the user to an online system. The online system identifies a product offered by the user in an image by applying a identification model to the image. If the online system identifies a product in the image with at least a maximum confidence value, the online system automatically tags the post with metadata about the product or suggests a tag to the user. If an object in the image could be one of multiple products, the online system identifies the multiple products to the user, which may be ordered based on confidences of matching the object, allowing the user to select which product is in the image. If the unlisted identifies a product in the image with less than a minimum confidence value, the online system identifies the user's offered products and suggests that the user select a product.

This application relates to apparatus and methods for automatically diversifying item advertisements, such as advertisements for items displayed on a website. In some examples, a computing device receives a plurality of recommended items to advertise with an anchor item. The computing device may determine a relevancy between each of the plurality of recommended items and the anchor item. The computing device may also determine a distance between each of the plurality of recommended items. The distances may be determined based on, for example, a category of each item. The computing device may then execute a diversity determination model based on the relevancies and distances to determine a diversified subset of the recommended items. Advertisements for the diversified subset of recommended items may then be displayed, such as on a webpage dedicated to the anchor item.

Disclosed herein are system, method, and computer program product embodiments for determining a user-preferred attribute type. An embodiment operates by maintaining user-presented attributes associated with user-presented records, wherein the user-presented attributes comprise one or more user-presented attribute types. After receiving a user-desired attribute of the user-presented attributes, a user-preferred attribute type of the user-presented attribute types is determined based on the user-presented attributes and the user-desired attribute. Thereafter, a new record and associated attribute are to be presented with the new attribute being of the user-preferred type.

Embodiments of the present invention relate to systems, methods, processes, computer program code, and means for employing the wireless or near field communication (“NFC”) functionality of mobile devices and payment terminals for use in payment, loyalty, and offer and coupon transactions.

Pre-paid transaction card systems and methods are described. A transaction system can include a transaction database to store transaction objects that represent characteristics of a pre-paid transaction card. A deal engine communicatively coupled with the transaction database can receive an image of a marker-less portion of the transaction card and derive a set of image descriptors from the marker-less portion. The deal engine can also identify transaction characteristics associated with the card from the transaction database using the image descriptors. In addition, the deal engine can construct a deal recommendation based on the transaction characteristics previously identified. The deal recommendation can be transmitted to a user, and in some cases, displayed to the user as an augmented reality image.

A system can determine a first persona for a user identity. The system can generate a web page based on the first persona, wherein respective reinforcement learning agents determine respective content of respective content modules of the website, wherein the reinforcement agents operate on an environment that comprises a group of states, a group of actions, and a group of rewards that are based on the group of states, and respective actions of the group of actions, and wherein a reward of the respective reinforcement learning agents that is increased via reinforcement learning is based on a sum of respective rewards of the respective reinforcement learning agents in transitioning the user identity to a second persona with respect to the website. The system can, in response to receiving first action data indicative of user identity interaction with the web page, transition the user identity to the second persona.