Methods and systems are provided for providing an alternative payment platform, including method and systems for providing a platform for presenting an alternate offer to a user who is engaged with a primary offer and receiving an indication of the user's engagement with the alternate offer, wherein the user's engagement with the alternate offer serves as an alternative form of payment for an item associated with the primary offer. Such methods and systems may further include methods and systems for selecting one or more alternate offers engagement with which serves as an alternative form of payment for an item associated with a primary offer, presenting the selected alternate payment offers to a user, receiving an indication of engagement with at least one of the alternate offers, receiving payment in exchange for presenting the accepted offer and providing payment to the offeror of the primary offer.

Methods and systems are provided for providing an alternative payment platform, including method and systems for providing a platform for presenting an alternate offer to a user who is engaged with a primary offer and receiving an indication of the user's engagement with the alternate offer, wherein the user's engagement with the alternate offer serves as an alternative form of payment for an item associated with the primary offer. Such methods and systems may further include methods and systems for selecting one or more alternate offers engagement with which serves as an alternative form of payment for an item associated with a primary offer, presenting the selected alternate payment offers to a user, receiving an indication of engagement with at least one of the alternate offers, receiving payment in exchange for presenting the accepted offer and providing payment to the offeror of the primary offer.

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.

Concepts and technologies are disclosed herein for providing augmented reality shopping displays. A processor can execute a shopping service. The processor can receive a request for display data. The processor can analyze shopping data to identify data sources, the shopping data can include user data associated with the requestor, and the data sources can include an offer source. The processor can obtain collected data from the data sources identified, the collected data including an offer. The processor can generate display data based upon the collected data and the shopping data, and provide the display data to a user device. The display data can identify the offer.

An ad is placed in a movie, by analyzing inherent characteristics of the movie, analyzing viewed characteristics of the movie, analyzing viewer characteristics of a viewer of the movie, obtaining advertiser preferences for placement of the ad in the movie, determining costs of placing the ad in the movie based on the inherent characteristics of the movie, the viewed characteristics of the movie, the viewer characteristics and the advertiser preferences, and placing the ad in the movie in accordance with the inherent characteristics of the movie, the viewed characteristics of the movie, the viewer characteristics, the advertiser preferences and the determined costs.

A method of creating custom video sequences includes presenting an ecommerce website to a customer and automatically collecting electronic customer data from the ecommerce website by a server system. The electronic customer data describes at least one customer interaction with the ecommerce website is automatically collected concurrently with customer interaction(s). The method further includes, concurrently with automatically collecting the electronic customer data, creating a customer profile of a customer based on the electronic customer data, determining a set of offering descriptors based on at least one customer descriptor, automatically selecting a subset of video segments from a plurality of video segments based on the set of offering descriptors, and automatically sequencing the subset of video segments into a custom video. The method further includes automatically modifying a web page of the ecommerce website by inserting the custom video into the web page.

A system including one or more processors and one or more non-transitory computer-readable media storing computing instruction that, when executed on the one or more processors, cause the one or more processors to perform operations: generating, using a training procedure, labels based at least in part on price band activity data from a time period; training, using the training procedure, an affinity prediction model of a machine learning architecture; analyzing, using the affinity prediction model of the machine learning architecture, as trained, the price band activity data indicating interactions of a user with items; and generating, using the labels and the affinity prediction model of the machine learning architecture, as trained, one or more price affinity predictions for one or more items for the user. Other embodiments are disclosed herein.

A method of creating custom video sequences includes presenting an ecommerce website to a customer and automatically collecting electronic customer data from the ecommerce website by a server system. The electronic customer data describes at least one customer interaction with the ecommerce website is automatically collected concurrently with customer interaction(s). The method further includes, concurrently with automatically collecting the electronic customer data, creating a customer profile of a customer based on the electronic customer data, determining a set of offering descriptors based on at least one customer descriptor, automatically selecting a subset of video segments from a plurality of video segments based on the set of offering descriptors, and automatically sequencing the subset of video segments into a custom video. The method further includes automatically modifying a web page of the ecommerce website by inserting the custom video into the web page.

A method comprising: obtaining a service point location, the service point location being associated with a logical identifier assigned to end-user equipment used in an attempt to make an online transaction; obtaining at least one authorized transaction point location, the at least one authorized transaction point location being associated with transaction object information provided via the end-user equipment; comparing the service point location to each of the at least one authorized transaction point location; and performing an action related to validation of the online transaction based on a result of the comparing. Also provided is an apparatus for implementing this method.

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.