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.

A method may include identifying a dataset corresponding to an entity. The dataset may include characteristics of the entity, historic actions performed by the entity, and historic events involving the entity. The historic actions can be associated with one or more products or services. The method may include generating a hierarchy data structure corresponding to the entity based on the dataset. The hierarchy data structure can define a first data level for a first subset of the dataset and a second data level for a second subset of the dataset. The method may include generating a feature set based on a first featurization process applied to the first subset and a second featurization process applied to the second subset. The method may include executing a machine-learning model associated with the entity using the feature set as input.

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.

An interactive digital logistics system is disclosed that receives real-time, on-demand data with immediate and same-day availability information from businesses, then displays the information for consumers to view, select, connect, and reserve the available services or products within a specified radius of their current geographical location. Businesses can accept or decline each consumer request and the interactive digital logistics system tracks the consumer's progress to the business's location. The interactive digital logistics system also tracks the progress of each request until completion and prompts both the consumer and business to rate their experience with the other party. The interactive digital logistics system then calculates an average rating for each party which is displayed in their respective profiles.

A method for use in a media distribution system includes receiving media content at an enterprise hub from a plurality of media outlets via a communication network. The method continues by assigning a unique identifier to the media content. The method continues by receiving at the enterprise hub, from the plurality of media outlets via a communication network, a record of broadcast of the media content on a continuous ticker feed and analyzing the continuous ticker feed to detect the unique identifier. The method continues by automatically verifying if the media content broadcast as scheduled and classifying the media content broadcast. The method continues by generating and transmitting to at least a provider of the media content, from the plurality of media outlets, a displayable report of the classification of the media content broadcast.

Dynamic object customization is disclosed. A template associated with content to be published on behalf of one or more entities is obtained. The template includes at least one variable. For each entity in the one or more entities, a data store including information pertaining to the entity is queried based at least in part on the at least one variable included in the template. In response to the query, one or more data values corresponding to the at least one variable are obtained. An object is generated based at least in part on the template. The at least one variable is populated using the obtained one or more data values. The generated object is provided as output to be published on behalf of the entity.

An advertisement presentation system includes an output device provided on a mobile object, an information processing device, and a management device. The management device obtains advertisement information to be generated from the output device of the mobile object scheduled to travel via a particular location, based on related information in which attribute information of people and location information at which the people having the attributes are present are related to each other in advance, and sends the advertisement information to the information processing device. The information processing device receives the advertisement information from the management device, and outputs the advertisement information to the output device, when the mobile object is present at the particular location. The output device obtains the advertisement information from the information processing device, and outputs the advertisement information toward an outside of the mobile object, when the mobile object is present at the particular location.

An advertisement management system receives a commercial break schedule generated from a completed assignment of one or more spots, which correspond to deals including advertiser orders to place the one or more spots into one or more commercial breaks in the commercial break schedule based on constraints and placement requirements. The system determines which of one or more orders in one or more deals are targeting orders, and determine a baseline target delivery for the targeting orders based on expected viewership associated with the targeting orders. The system places a portion of the one or more spots for the targeting orders based on a lift goal over the baseline target delivery, determines a liability per pending spot for spots determined to be candidates for advertisement scheduling and reshuffles placement of a remaining portion of the one or more spots based on the liability per pending spot for the candidates.

Embodiments of the present invention disclose a method, computer program product, and system for generating a schedule for promotions using promotional windows. A set of product data associated with a plurality of products is received. Promotion data is received, and a plurality of intensity scores are calculated for the associated promotional data. A set of target product data associated with a target product is determined. A set of target promotional attributes is determined and a plurality of promotion windows are generated for display. A confidence value is determined for each generated promotion window of the plurality of promotion windows. An order list is generated for display. In response to receiving a second set of promotion data, the determined confidence value is modified for each generated promotion window of the plurality of promotion windows.

Techniques for controlling resource usage in a computing environment are provided. In one technique, a target resource usage for a particular point in time is determined for a content delivery campaign. Determining, for the content delivery campaign, a current resource usage for the particular point in time. Also, a bandwidth associated with the target resource usage at the particular point in time is determined. Based on a difference between the current resource usage and one or more boundaries of the bandwidth, a throttling factor is calculated. Based on the throttling factor, a probability of the content delivery campaign participating in a content item selection event is determined.