Transaction modification based on modeled profiles is described. In an example, transaction data can be received by a payment processing system. The payment processing system can generate, using a trained model, profiles. Based at least in part on (i) receiving an indication that a buyer and a merchant are engaged in, or likely to be engaged in, a transaction and (ii) determining that a characteristic of the transaction corresponds to a profile, generating a communication to enable the buyer or the merchant to modify the transaction in association with processing of the transaction.

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.

Methods and systems are provided herein for recommending a media asset based on a geographic location at which that media asset was frequently consumed. For example, the system may monitor a location, such as New York City or Times Square, to determine popular media assets watched there, such as “The Avengers,” and when another user visits New York City, the system may then notify the user that the movie, such as “The Avengers,” is associated with New York City. The system stores the geographic locations associated with the media asset in the database based on the consumption of the media asset so that other users may be notified which media assets are associated with each geographic location.

A method including obtaining historical revenue per click (RPC) data. The method also can include generating hourly RPC prediction data for a predetermined time period based on the historical RPC data. The method additionally can include determining (i) time intervals from within the predetermined time period and (ii) a respective modifier for each of the time intervals, based on the hourly RPC prediction data. The acts method can include uploading the time intervals and the respective modifiers for the time intervals to a dayparting system of a search engine. Other embodiments are described.

Systems and methods are presented for managing electronic promotion correspondence sent to consumers. A system may manage electronic promotion correspondence sent on a per-consumer basis. The system may access multiple electronic promotion correspondences generated for a particular consumer, select an electronic promotion correspondence from among the multiple electronic promotion correspondences, and determine to send the electronic promotion correspondence to the consumer according to any number of factors. The system may determine a target time to send the first electronic promotion correspondence to the consumer and selected communication channel to send the electronic promotion correspondence through.

A first data packet can be received from an origination terminal at a remote server operatively coupled to the origination terminal and an end user terminal. The first data packet can have a plurality of offers and image or video data acquired by an image/video sensor. The image or video data can be processed by the remote server using an image processing algorithm to estimate a current idle time associated with the origination terminal. One or more aspects of the plurality of offers can be controlled by the remote server based on the current idle time. A second data packet including the plurality of offers can be transmitted to the end user terminal by the remote server. A selection of a preferred offer of the plurality of offers can be received from the end user terminal at the remote server. The preferred offer can be provided to the origination terminal.

In some examples, a processor may access past order information for a plurality of merchants to determine, for an upcoming time period, a number of orders predicted to be received by the merchants. The processor may determine geographic locations of delivery agent devices, each associated with a respective delivery agent. The processor may compare, for the upcoming time period, a number of active delivery agents with the number of orders predicted to be received. Based at least on determining a predicted shortage of active delivery agents for the upcoming time period, the processor selects a first delivery agent of the plurality of delivery agents to pick up a first order from a first pickup location of a first merchant and a second order from a second pickup location of a second merchant, and sends a message to a first delivery agent device associated with the first delivery agent.

Systems and methods are provided herein for displaying recommendations that are temporally relevant to activities of a user and are contextually relevant to a portion of viewed media. This may be accomplished by a media guidance application identifying activities a user has planned, as well as respective times for which each of the plurality of activities was planned to be performed by the user. The media guidance application may filter the activities by determining which of the first plurality of activities has a corresponding respective time that is within a threshold period of time. The media guidance application may then identify characteristics of each filtered activity and of a media asset that the user is consuming at the present moment, and may compute whether the characteristics match. If the characteristics match, the media guidance application may generate for display a recommendation relating to the respective activity.

Techniques and arrangements for generating, distributing and managing promotion campaigns are described. A promotion server may generate the promotion campaigns based on input from a merchant. The input may include a request to generate the promotion campaign, a merchant preference, or other information shared between the merchant and the promotion server. The promotion campaign may include promotions, such as coupons, discounts, or the like, to encourage transactions with a merchant. The promotions may be generated based on merchant specified criteria, a merchant transaction history, customer preferences, a customer transaction history, and/or other information processed by the promotion server. The promotions of the promotion campaign may be distributed via one or more channels, such as electronic mail, website publication, receipts, etc. Each promotion of the promotion campaign may be linked to a particular customer, thereby limiting the number of times a particular customer can take advantage of the promotion campaign.

A system for using metadata from a video signal to associate advertisements therewith, comprising (i) a segmentation system to divide the video signal into video clips, (ii) a digitizing system for digitizing the video clips, (iii) a feature extraction system for extracting audio and video features from each video clip, associating each audio feature with respective video clips, associating each video feature with respective video clips, and saving the audio and video features into an associated metadata file, (iv) a web interface to the feature extraction system for receiving the video clips, and (v) a database, wherein video signals and associated metadata files are stored and indexed, wherein the associated metadata file is provided when a video player requests the corresponding video signal, enabling selection of a relevant advertisement for presentment in conjunction with respective video clips based on the associated audio and video features of the respective video clip.