Abstract: A product offered by the advertisement is displayed to the consumer in a multi-retailer cart which allows the consumer to select the product from among a plurality of retailers identified in the multi-retailer cart that offer the same or similar products and the mobile. The plurality of retailers to be displayed in the multi-retailer cart is determined by application of any of several factors that include the current location of the consumer, where those retailers that are most proximate to the consumer are displayed; incentives that are uniquely available based on consumer location; profile information associated with the consumer, such as retail preferences, affinity memberships; retailer factors, such as the availability of discounts, coupons, availability of the product in inventory, etc. The retailers may be ranked in the cart based on any one or more of these factors, and/or based upon payment of a promotion fee.

Abstract: A computational approach is proposed herein for controlling a user interface for rendering of interactive graphical control elements representing offers and coupons that are inserted into a computational payment process. In particular, the offers and coupons can interact with stored payment information resident (or tokens thereof) on a digital wallet data structure. The approach can be implemented as a computing system, a computing method operable on a computing system, or a computer program product affixed in the form of a non-transitory computer readable medium storing machine-interpretable instructions.

Abstract: The disclosed systems and methods provide a system for dynamically serving personalized content for presentation across computing devices of different guests in an online retail environment. A server system can: retrieve, from a data repository, a subset of predefined content stories having a predetermined activation status and guest purchase data for at least a portion of guests in the online retail environment, the guest purchase data indicating products each guest purchased, determine product embeddings for each story in the subset, each embedding indicating a product linked to the story, determine, based on applying a guest story similarity (GSS) model to the guest purchase data for each guest, a similarity score between the guest purchase data and the embeddings that indicates a likelihood the guest would purchase products embedded in the story, and serve a content story having a similarity score that satisfies one or more guest personalization criteria.

Abstract: External notifications of events that take place within a virtual space may be provided to users. External notifications may be sent, for example, via email, text message, instant message (external from the virtual space), push notification and/or through other external communication media. These external notifications may be generated based on parameters, such as user parameters, event parameters, and/or other parameters. The parameters may include one or more parameters that are dynamic and/or one or more parameters that are static. The notifications may include incentive offers. The incentive offers may include offers of virtual items within the virtual space. The incentive offers may require a response to the notification for redemption. The incentive offers may enhance engagement with the virtual space by users.

Abstract: A system and a method for allocating energy credits is provided. The system includes circuitry that identifies a vehicle identifier associated with an electric vehicle and retrieves usage data comprising battery charging records for the electric vehicle. Each record includes a charging time-period, quantity of electrical power used, and geographic location. The circuitry determines a carbon intensity score for the electrical power consumed during each charging time-period based on the usage data. An adjusted quantity of electrical power for allocation of energy credits is determined based on the carbon intensity score and usage data. The circuitry transmits a request to an energy credit provider for allocation of energy credits against the vehicle identifier based on the adjusted quantity.

Abstract: Methods and apparatus are disclosed regarding an e-commerce system that places customers into a plurality of clusters and tailors services provided to a customer based on the cluster in which the customer is placed. In one embodiment, the e-commerce system defines the clusters based on purchase history data for customers having sufficient purchase history data. The e-commerce system then places customers without sufficient purchase history data into one of the defined clusters based on demographic data for the customer and demographic data for the customers in the cluster.

Abstract: A computing platform may receive, from a user device, historical shopping information indicating previously purchased items and/or previous routes within shopping environments for a first user of the user device. The computing platform may input, into a shopping gamification model, the historical shopping information, which may output shopping recommendation information indicating one or more of: recommended items or recommended routes within a first shopping environment. The computing platform may send, to the user device, a shopping gamification interface that includes the shopping recommendation information and one or more commands directing the user device to display the shopping gamification interface. The computing platform may receive, from the user device, user feedback information indicating acceptance or rejection of the shopping recommendation information by the first user. The computing platform may update, based on the user feedback information, the shopping gamification model.

Abstract: Methods, systems, and media for identifying automatically refreshed advertisements are provided. In some embodiments, a method for modifying advertisement spending is provided, the method comprising: receiving advertisement delivery information associated with a plurality of advertisements displayed on a web page; generating a distribution of an amount of time that the plurality of advertisements were displayed on the web page using the advertisement delivery information; identifying a deviation in the generated distribution; determining whether the deviation correlates to an automatic refresh command performed by one or more browser applications; and providing an indication corresponding to the plurality of advertisements that were displayed on the web page in response to the automatic refresh command based on the determination.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations including: reducing, using a multilayer perceptron, a dimension of feature embeddings for an item to generate a representation vector; extracting, using a recurrent neural network, sequential data from traffic features for the item; inputting the representation vector and the sequential data into a multilayer neural network, wherein the first scoring layer outputs one or more first performance metrics based on offline learning; and re-purposing the output of the second ReLU activation function of the multilayer neural network by feeding the output of the second ReLU activation function into a second scoring layer to output one or more second performance metrics based on online learning. Other embodiments are disclosed.

Abstract: An automated teller machine (ATM) includes a network interface, an input/output device configured to exchange data with a customer, and a processing circuit comprising a processor and memory.

Abstract: In accordance with some embodiments of the disclosed subject matter, methods, systems, and media for setting and using an advertisement frequency cap based on causal conversions or impact of advertisements are provided.

Abstract: A product purchase system includes a first communication terminal carried by an advertising user, a second communication terminal provided to be movable with a vehicle, and a server. The first communication terminal sends advertisement product information indicating a product worn or held by the advertising user to the server. The second communication terminal sends a product search request including second position information and second time information to the server. The second position information indicates a position of the vehicle when a specific action performed by an occupant in the vehicle is detected while the vehicle is moving. The second time information indicates a clock time when the specific action is detected. The server extracts candidate product information from the advertisement product information, based on the second position information and the second time information. The server then sends the extracted candidate product information to the second communication terminal.

Abstract: A system of promoting or gifting a specific product or service by a person. The system includes a network and an e-commerce/customer social media and networking platform coupled to the network. The platform includes a social networking platform providing social networking services to a plurality of users communicating with the e-commerce/customer social media and networking platform via the network and an e-commerce module for performing online purchase transactions of goods and services published on the e-commerce/customer social media and networking platform. The e-commerce module displays products or services for sale to the plurality of users and enacts purchase transactions of a product or service selected by a purchasing user. Endorsements received from the purchasing user may be published to a plurality of members observing the purchasing user. The system may also provide a gifting feature to enable users to send gifts to other users.

Abstract: Methods and systems for improved and efficient campaign message management are disclosed. Via an automated process, the system can generate, classify and sort a browsable collection of diverse, high-performing campaign messages, e.g., emails and SMS messages. Such messages can prompt a prospective campaign generator to create quality content for his/her own campaigns. Furthermore, varied and relevant exemplary campaigns can be shown to different users in response to his/her unique needs or expressed interests.

Abstract: The disclosed embodiments provide systems, methods, and techniques for managing merchandising cards. A merchandising card may be, for example, a gift card, loyalty card, or the like. Consistent disclosed embodiments, a system for managing merchandising cards may include one or more memory devices storing instructions and one or more processors configured to acquire, from a device over a network, a plurality of locations associated with the device, the device locations being acquired at different instances in time within a predetermined period of time. Additionally, the one or more processors may be configured to calculate an overall merchant confidence rating for a merchant using the device locations. Further, the one or more processors may be configured to, based on the overall merchant confidence rating, determine that the merchant matches a merchant that is associated with merchandising card, and send a reminder a user of the device.

Abstract: Described are a system, method, and computer program product for generating a synthetic control group. The method includes receiving transaction data associated a first set of transaction accounts in a first time period and generating a synthetic control group including a subset of transaction accounts. The method also includes determining, for each transaction account of the synthetic control group, a propensity score representative of a likelihood of said transaction account being associated with a test group, and a predictive spending score for a second time period. The method further includes balancing the synthetic control group and altering at least one operational parameter of a computer-implemented advertisement program to be executed in a second time period based on the transaction data and the synthetic control group. The method further includes executing the computer-implemented advertisement program in the second time period based on the at least one operational parameter that was altered.

Abstract: Methods, systems, and computer programs are presented for eliminating bias while training an ML model using training data that includes past experimental data. One method includes accessing experiment results, for A/B testing of a first model, that comprise information regarding engagement with a first set of items presented to users, each item being presented within an ordered list of results. A position bias is calculated for positions within the ordered list of results where the items were presented. A machine-learning program is trained to obtain a second model using a training set comprising values for features that include the calculated position bias. The method includes detecting a second set of items to be ranked for presentation to a first user, and calculates, using the second model, a relevance score for the second set of items, which are ranked based on the respective relevance score and presented on a display.

Abstract: A multidimensional knowledge transfer model for predicting CTR of a computational ad, the multidimensional knowledge transfer model comprises: a pre-processor for building an ad group node graph based on similarities among ad group nodes, an ad campaign node graph from merging the ad group node graph, and an ad account node graph from merging the ad campaign node graph. The multidimensional knowledge transfer model further comprises a multi-knowledge CTR prediction model for each of the ad account, ad campaign, and ad group layers. The multi-knowledge CTR prediction model predicts the respective node's CTR from the ad account node graph, ad campaign node graph, or ad group node graph, features of the audience group, and features of the node having its CTR predicted appended with the hidden vector of its parent node extracted from the upper layer multi-knowledge CTR prediction model.

Abstract: Methods and apparatus are disclosed regarding an e-commerce system that places customers into a plurality of clusters and tailors services provided to a customer based on the cluster in which the customer is placed. In one embodiment, the e-commerce system defines the clusters based on purchase history data for customers having sufficient purchase history data. The e-commerce system then places customers without sufficient purchase history data into one of the defined clusters based on demographic data for the customer and demographic data for the customers in the cluster.

Abstract: Systems are disclosed for determining contextual segments for targeting contextual advertising in metaverses. The system can deploy an observer avatar in a metaverse to capture information inside a portion of a metaverse from behaviors and interactions of a target user avatar. The observer avatar can capture audio, video, images, and text perceived by the observer avatar in the area of the user avatar, along with metadata describing the captured information. Using the captured observations, the system can determine contextual segments classifying the portion of the metaverse. Using a library of the contextual segments, advertisers can distribute contextually targeted advertisements.