Abstract: There are provided systems and methods for automatic determination of card data based on network category codes. A user may engage in a transaction with another user, such as a purchase of goods, services, or other items a merchant using a physical payment card. An online transaction processor may receive information from processing of the payment card over an electronic card network so that the online transaction processor may determine data for the payment card. The data may be determined over a time period, which may be dynamically adjusted based on additional data for the user, time period, and/or payment card. The data is further identified and determined based on network category codes for different transaction data when processed over the electronic network. Thereafter, categories of data may be selected to provide benefits back to the user's account or payment card.

Abstract: Techniques and arrangements for generating multi-merchant loyalty programs and dynamically enrolling customers into a multi-merchant programs. The multi-merchant loyalty programs can be generated based on a determination that the merchants in respective programs are complementary, and/or the merchants being located within a threshold distance of one another. In some instances, a customer can be automatically enrolled in a multi-merchant loyalty program responsive to conducting a transaction with one of the merchants in the program. After enrollment, the customer can receive incentives to conduct transactions with the merchants in the program.

Abstract: A system may receive information representing a first item and an item price of the first item from a first user device operated by a buyer. The first item may be available for sale by a merchant of a brick-and-mortar store. A plurality of sellers may be identified, the plurality of sellers may list a second item as being available for sale at the calculated reduced item price in an item listing for the second item. Moreover, the second item may be similar to the first item. A reduced item price may be calculated based on the item price of the first item received from the user device, the reduced item price representing a price lower than the item price of the first item. The item listing for the second item available for sale may be presented to the first user device operated by the buyer.

Abstract: A system and method capable of learning dynamic user and advertisement behavior for more effective click-through rate prediction. The system and method include at least one processor configured to obtain at least one item data, wherein the at least one item data comprises at least one explicit feedback to a user interaction event and other data associated with an item. The at least one processor also uses an interaction model that incorporates the obtained at least one item data to generate a user response prediction for a user and another interaction event.

Abstract: Methods and systems for identifying characteristics of a user (e.g., a seller) based on Natural Language Processing (NLP). Transaction data of buyers may be collected to generate a sequence paragraph of seller name information for each buyer. NLP techniques such as word2vec may be used to vectorize the seller name information to determine relationships between sellers. Industry information may be determined using the vectors. Reliability checks may be performed to determine whether the data is robust to label the determined data.

Abstract: A method for tracking and incentivizing wellness activity using a fitness tracking device includes; synchronizing, with at least one processor, the user wellness data corresponding to a time period from the fitness tracking device by receiving at least one communication from the fitness tracking device; in response to synchronizing the user wellness data, determining, with at least one processor, whether the user is a participating user; and in response to the determination that the user is a participating user, automatically communicating, with at least one processor, at least one activity message comprising the user wellness data of the user over the time period to at least one transaction processing server. Various other systems and methods for tracking and incentivizing wellness activity using a fitness tracking device are disclosed.

Abstract: Methods, systems, and apparatuses may provide for the auto-determination of partial usage of a physical environment and use derived intelligence to take various actions. This may allow for partial resulting maintenance of the physical environment based on a single use or use over time.

Abstract: Described are systems and methods for dynamic integration and presentation of advertising content and media content. The method includes receiving a request for media content from a remote computing device and providing, in response to the request, an interactive advertising unit. The interactive advertising unit includes a first content layer including the requested media content and a media player, a second content layer including the advertising content, wherein the advertising content comprises static content and interactive content, an integration module configured to display the requested media content in the media player, and reveal the advertising content in an area extending from a boundary of a playback window of the media player, wherein revealing the advertising content includes moving web page content to accommodate the advertising content. The method includes transmitting the interactive advertising unit for presentation on the remote computing device.

Abstract: The present disclosure provides systems and methods for personalizing a campaign to a recipient based on interactive surveys. A link to the interactive survey, unique to each recipient, is sent to each recipient to track survey responses. The systems and methods may track the answers, the time spent in each section, and the recipient's eye movement. Based on the tracked information, the systems and methods identify one or more interests of the recipient and match a related product to that interest. The systems and methods generate a campaign for the recipient based on the identified interests for the related product.

Abstract: Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for classifying merchants. In one embodiment a method is provided comprising providing, a first promotion specifying a redemption and a charge monetary values, the redemption monetary value being specified by redemption parameters of the first promotion and a value indicative of a total amount of funds purchased in response to accepting an instance of the first promotion, wherein the funds purchased can be redeemed for offerings of one or more merchants specified by the promotion, the charge monetary value being a monetary value charged for accepting the first promotion, and providing a first classification classifying the first promotion as a promotion having a redemption monetary value that may be used to purchase offerings of the one or more merchants over the course of multiple transactions.

Abstract: A method and a system for facilitating reuse or recycling of a packing bag are provided. A server links one or more details of the packing bag with a user identifier of a user based on an issuance of the packing bag to the user. The packing bag is associated with an identity tag that stores the one or more details of the packing bag. The server detects an occurrence of a first event associated with the packing bag. The first event corresponds to the reuse of the packing bag by the user or submission of the packing bag by the user for recycling. Based on the detection of the first event, the server credits one or more reward points to a reward point account that is associated with the user identifier of the user. The reward points credited to the reward point account are redeemable by the user.

Abstract: A method of generating a fixed-price variable-offer multi-tier thread generator may include receiving, a by a computer processor(s), at least a fixed price, a thread expiration criteria and specification for at least two offerings for the fixed price. Each of the at least two offerings correspond to one of at least two tiers of offerings, where the fixed price entitles a first member and any subsequent members on a thread to redeem a qualified offer associated with a qualified tier, in exchange for paying the fixed price, upon the occurrence of at least one thread expiration criteria. The at least one product or service offerings the thread qualifies for, upon the occurrence of the at least one thread expiration criteria, may be dependent upon a total number of members, including the first member who starts a thread from the thread generator and any subsequent members who join the thread and who have agreed to pay the fixed price.

Abstract: Arrangements for detecting anomalies and dynamically generating a response are presented. In some examples, attribute data including a plurality of source elements may be received. The source element data may be received from a plurality of source computing systems. The attribute data, including the source element data, may be analyzed using machine learning techniques to identify any anomalies in the attribute data. If an anomaly is detected, a notification may be generated including data associated with the anomaly, a user associated with the anomaly and the like. The notification may be transmitted to a computing device for display. In some examples, if an anomaly is detected, data associated with the anomaly may be compared to pre-stored rules to determine whether a pre-stored rule applies to the identified anomaly. If a pre-stored rule applies, an instruction or command may be generated and transmitted to one or more source computing devices or systems.

Abstract: A computer implemented method for displaying shoppable advertisements based on search query including receiving the search query from a user; retrieving an image comprising plurality of purchasable products related to the search query from a database; calculating a product relevance score for each of the plurality of products within each image based the search query; ranking each of the plurality products based on the product relevance score; selecting a subset of products based on the ranking; displaying the image comprising the plurality of products; and displaying the shoppable advertisements for the selected subset of products on a user device.

Abstract: A system for monitoring advertisements has a security camera and sensor that are positioned to monitor an area surrounding the advertising structure with the advertisement. The camera and sensor can be controlled by a control module. The control module can activate the camera in response to receiving a signal from the sensor indicating activity in the area surrounding the advertising structure. The camera can capture images of the area surrounding the advertising structure and provide the images to the control module. The control module can then provide the images to a server for access by a user.

Abstract: This application relates to apparatus and methods for automatically determining and providing, for a given anchor item, a ranking of items. The ranking may include sponsored items. In some examples, a computing device receives a request for items for an anchor item. The computing device determines a relevancy of a plurality of recommended items and sponsored items. The computing device also determines a cost value for the sponsored items. The computing device determines ranking values for the plurality of recommended items and sponsored items based on the relevancy values and the cost values, and ranks the items based on the ranking values. In some examples, the computing device updates the final item ranking based on the application of one or more rules. The computing device transmits the final item ranking to a web server. The web server displays advertisements for the items in ranked order.

Abstract: Embodiments relate to an intelligent computer platform to utilize machine learning techniques to minimize compliance risk. Features are extracted from one or more data sources across two or more domains and activity data is identified. Features are identified within the activity data which are used to create one or more models. Domain activity impact is measured and a risk probability is calculated. A policy is generated based on the calculated risk probability and one or more compliance activities are orchestrated. One or more encoded actions are executed in compliance with the orchestration.

Abstract: An information processing apparatus extracts at least one store from a plurality of stores in accordance with an order in which degrees of safety for a target vehicle are ordered as starting from higher degrees of safety, by using information which indicates the degree of safety relevant to situations to be provided if a user visits the store and the user leaves the store by using the vehicle with respect to each of the plurality of stores belonging to a predetermined category; and provides, to the user who gets on the target vehicle, information which prompts the user to visit the at least one store.

Abstract: Aspects of the subject disclosure may include, for example, a method comprising obtaining, by a processing system including a processor, device design information for a device depicted in media content; obtaining a first image for inclusion in a depiction of the device; and obtaining display information regarding an apparent size and orientation of a display of the depicted device. The processing system adjusts the first image in accordance with the device design information and the display information, and inserts the adjusted first image into the media content, thereby generating a second image comprising the display of the depicted device with the adjusted first image shown on the display. The method also includes altering the adjusted first image in accordance with changes in the apparent size or orientation of the display of the depicted device, and delivering the second image to a user device. Other embodiments are disclosed.

Abstract: An on-line marketplace provides systems and methods for a mutually beneficial messaging campaign with one or more merchants, in order to promote the merchants' products. One aspect of the messaging campaign includes augmenting the merchants' budgets across multiple commercial channels. The channels may include merchant-operated channels, marketplace-operated channels, and/or third party channels. The marketplace selects when and how to augment the merchants' budgets. The augmented budget comprises an overall content budget for the messaging campaign, including a first budget portion provided by the merchant(s) and a second budget portion provided by the on-line marketplace. The augmented budget may be determined based on a weighted combination of goals of the marketplace and one or more merchants. The augmented budget may be segmented into static and dynamic portions, in which the dynamic portion is varied between channels to determine variables to optimize budget allocation and message performance.