A method for enabling a value-added transaction involving a vehicle and a merchant via a mobile device is disclosed. Merchant information may be broadcasted from a merchant terminal. Vehicle specific data may be received at the merchant terminal identifying the vehicle in response to the broadcasted merchant information. Transaction data may be provided to the mobile device to initiate an intended transaction. Payment data may be received from the mobile device at the merchant terminal in response to the provided transaction data. Before completing the intended transaction, a value-added transaction offer may be provided to the mobile device. In response to the provided value-added transaction offer, an acceptance of the value-added transaction offer may be received. The intended transaction and the value-added transaction offer may be completed as a single transaction.

Computer-implemented methods of providing personalized recommendations to a user of items available in an online system, and related systems. First-level features including context features are computed based upon context data. A first-level machine learning model is then evaluated using the first-level features to generate predictions of user behavior in relation to a plurality of individual items available via the online system. A list of proposed item recommendations is constructed based upon the predictions. Second-level features are computed based upon the context data and list features based upon the list of proposed item recommendations and the corresponding predictions generated by the first-level machine learning model. A second-level machine learning model is evaluated using the second-level features to generate a prediction of user behavior in relation to the list of proposed item recommendations. A personalized list of item recommendations is provided based upon the prediction generated by the second-level machine learning model.

In an information processing system (1), a browsing device (30A, 30B) acquires open information the user wishes to browse, and notice information accompanying the open information and notified to the user from a shopping mall server (10). The browsing device (30A, 30B) displays on a screen the open information and a cursor of which the position changes based on instruction from the user. The browsing device (30A, 30B) displays the notice information in front of the open information when a predetermined start condition is satisfied. The browsing device (30A, 30B) continues to display the notice information while the cursor is positioned within a notice region where the notice information is displayed. The browsing device (30A, 30B) ends the display of the notice information when the cursor does not move into the notice region within a predetermined holding time since the user gives the first instruction to move the position of the cursor after the display of the notice information started.

A digital image depicting a digital representation of a scene is captured by an image sensor of a vehicle. An identification system recognizes a real-world object from the digital image as a target object based on derived image characteristics and identifies object information about the target object based on the recognition. The identification provides the object information to the vehicle data system of the vehicle so that the vehicle data system can execute a control function of the vehicle based on the received object information.

The ELECTRONIC COUPON ISSUANCE AND REDEMPTION APPARATUSES, METHODS AND SYSTEMS (ECIR) transforms user coupon purchase and redemption request inputs via ECIR components into coupon issuance, transaction, and analytics outputs. In some embodiments, the ECIR may receive an inventory request from a coupon program manager, including at least a virtual coupon issue criteria. The ECIR may generate one or more account identifiers, and transmit the account identifiers to the coupon program manager. The ECIR may receive, from the coupon program manager, an issue request along with the purchase information, which may include one or more purchase identifiers corresponding to one or more buyers. The ECIR may determine when the received purchase information satisfies the virtual coupon issue criteria. when it satisfies the criteria, the ECIR may issue one or more virtual coupons having the one or more account identifiers, and transmit the issued virtual cards to the coupon program manager.

A system and method for providing an eCommerce provider with the ability to efficiently determine, retrieve, and compile rollup information from each vendor using the eCommerce provider is presented. Event are monitored to set a trigger when the event occurs. A rollup can be initiated regarding the item in question. Price and shipping information from each vendor of a particular item is collected and tabulated. Each item from each vendor can be verified to determine if any information is missing or is otherwise incorrect. The offerings from each vendor is ranked by a variety of different criteria. When the item in question is displayed to a user, the vendor being displayed is based on the ranking. Other embodiments also are disclosed.

In a method of matching a consumer to available benefits, benefit information is received for at least one benefit that an affiliate knows is offered by an enabling organization. From a consumer, enabling organization information is received pertaining to an enabling organization with which the consumer is affiliated. Consumer information is received from the consumer, including consumer identification information for identifying the consumer and consumer interest data for identifying an interest of the consumer. The consumer information, enabling organization information, and benefit information are stored in a computer memory. The consumer interest data, enabling organization information, and benefit information are analyzed automatically to determine whether any enabling organization to which the consumer is affiliated is offering a benefit for the consumer that is applicable to the consumer interest data. A message is displayed to inform the consumer of an available benefit applicable to the consumer interest data.

A wireless device is enabled to provide offers. The wireless device receives card data for a financial account card and stores the card data in a memory associated with the wireless device. Responsive to using the card data in a transaction at a first merchant location, the wireless device receives transaction line-item data from a computing system associated with the first merchant location. The wireless device determines merchant information for a second merchant location and determines an offer associated with the second merchant location based on the line-item data and the merchant information for the second merchant. The wireless device presents the offer when the wireless device is near the second merchant location.

Systems, methods, and computer-readable media are disclosed for generating an online advertising campaign based on one or more advertising campaign parameters and selecting an advertisement of the advertising campaign for presentation in an available advertising slot. The advertising campaign parameter(s) may include one or more product identifiers. Advertisements of the advertising campaign may be presented in advertising slots available on network resources such as product detail pages associated with the product identifiers.

A scalable recommendation engine includes stateless processors in communication with at least one memory server that stores contextual data. A router is configured to direct a recommendation request to a first stateless processor, which is configured to generate a recommendation using contextual data from the memory server. A controller monitors the available processing bandwidth of the stateless processors and deploys an additional stateless processor if the available processing bandwidth is less than a minimum available processing bandwidth threshold. The controller can remove from deployment a stateless processor if the available processing bandwidth is greater than a maximum pre-determined available processing bandwidth threshold.