Abstract: Aspects relate to delivering directed content using frequency capping concepts without third-party cookie technology or other user-identifiable information. Systems and methods are described for determining an estimated number of impressions a user may view or experience based on historical, anonymized data. A covisitation graph is used to estimate the number of times an unidentified user may see an item of directed content, within in a predetermined period of time, based on a single visit to a particular website. The covisitation graph accounts for and also provides for estimated views of the item of directed content on other websites deemed related to the particular website. Therefore the estimated delivery rate for that website can be calculated and used to enforce frequency capping principals.

Abstract: Techniques are disclosed for advantageously forecasting an inventory of a product having a particular duration (e.g., video content). The technique can include determining the particular configuration (e.g., maximum number of impressions, maximum amount of time permitted) of breaks identified within an impression log. Based on the number of breaks and the configurations of the breaks, the technique can forecast a future inventory of the product. In some implementations, the disclosed technique can identify an amount of a previous break that was not filled with video content. These forecasts can enable product sellers to better communicate with their customers, negotiate supply contracts, price their products, plan for business operations, etc.

Abstract: Aspects of the subject disclosure may include, for example, a technique for processing a decision network that includes obtaining an index encoding a mapping from potential values of an input parameter to decision parameters of the network's predicates, wherein the mapping associates potential values of the input parameter with decision parameters affected by those potential values; evaluating decision parameters affected by specified values of the input parameter, including identifying each decision parameter to which the index maps at least one specified values of the input parameter, and setting the values of those decision parameters in accordance with the input parameter's specified values; and analyzing the decision network, including evaluating the predicates of one or more of the decision nodes based on the values of the predicates' decision parameters, and determining, based on the values of the evaluated predicates and a topology of the decision network, that a particular terminal node encodes the n

Abstract: Systems and methods for providing an impression inventory trading platform are described. A specification of impression inventory for sale is received from a seller, the impression inventory having associated therewith a plurality of attributes. Each attribute is specified as either visible or hidden to a potential impression inventory buyer. The impression inventory specification and visible attributes associated therewith are provided to one or more potential impression inventory buyers via a user interface, and negotiation for purchase of the impression inventory is facilitated between the seller and one or more of the potential impression inventory buyers via the user interface.

Abstract: Aspects of the subject disclosure may include, for example, a technique for processing a decision network that includes obtaining an index encoding a mapping from potential values of an input parameter to decision parameters of the network's predicates, wherein the mapping associates potential values of the input parameter with decision parameters affected by those potential values; evaluating decision parameters affected by specified values of the input parameter, including identifying each decision parameter to which the index maps at least one specified values of the input parameter, and setting the values of those decision parameters in accordance with the input parameter's specified values; and analyzing the decision network, including evaluating the predicates of one or more of the decision nodes based on the values of the predicates' decision parameters, and determining, based on the values of the evaluated predicates and a topology of the decision network, that a particular terminal node encodes the n

Abstract: Aspects of the subject disclosure may include, for example, receiving a request to forecast allocations for a new descriptor, the new descriptor differing from preexisting descriptors, each of the preexisting descriptors being associated with a subset of locations of a network of locations, each location corresponding to an electronic segment in electronic canvases, and the new descriptor being associated with a new subset of locations of the network of locations, identifying one or more affected descriptors having one or more overlapping subsets of locations of the network of locations and one or more non-overlapping subsets of locations of the network of locations, determining a forecast of allocated locations in each of the one or more affected descriptors; identifying, according to the forecast, at least a portion of allocated locations in the one or more overlapping subsets of locations that are displaceable resulting in a number of displaceable allocations, and determining, according to the number of di

Abstract: A method and system for capturing and reviewing advertisement information on a mobile device are provided. An advertisement is requested to be served to a user of an application on a user device and, in response to the request, the advertisement and metadata associated with the advertisement are received at the device. The application presents the received advertisement, and a visual representation of the advertisement is captured. Specifically, the visual representation depicts the advertisement as it was originally displayed to the user. The visual representation and associated metadata are stored on the user device for subsequent retrieval. Further, an interface control is provided that allows the user to ban a particular advertisement from being shown again across multiple devices.

Abstract: Aspects of the subject disclosure may include, for example, receiving from a campaign manager device information defining a line item in an online advertising system, including receiving information defining constraints for the line item. The subject disclosure may further include collecting browsing history information for targetable users matching the constraints for the line item, generating a machine learning model to rank the targetable users and building a new segment based on users ranked by the model. The subject disclosure may further include providing, to the campaign manager device, a recommendation to add the new segment to the line item, receiving from the campaign manager device an indication to attach the new segment to the line item, and subsequently, providing advertisement content to targeted users according to the line item including the new segment. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving an indication of a selection of a first advertisement included within a first content item from a communication device, transmitting terms of purchase associated with the first advertisement responsive to the receiving of the indication of the selection of the first advertisement, selecting a second content item based on an indication of the first content item and/or a context associated with the communication device, transmitting the second content item to the communication device responsive to the selecting of the second content item, obtaining an indication of a transaction completed for a purchase from the communication device, selecting a second advertisement responsive to the indication of the transaction, and transmitting the second advertisement to the communication device. Other embodiments are disclosed.

Abstract: Examples of the systems and methods described herein relate to reducing latency issues associated with playing online digital video on client devices. An example method includes: determining that a client device of a user is displaying a web page; determining a likelihood that the user will select content on the web page, the content being associated with a digital video; determining that the likelihood exceeds a threshold and, based thereon: identifying the digital video associated with the content; obtaining a copy of a video file including the digital video and an initial portion that precedes the digital video; initiating a video player for displaying the digital video; determining a start location in the video file where the initial portion ends and the digital video begins; and configuring the video player to begin playing the video file from the start location when the user selects the content.

Abstract: Aspects of the subject disclosure may include, for example, monitoring a performance of a creative presented by a first plurality of client devices in conjunction with a distribution of a first content item via a first outlet, determining that the performance exceeds a threshold, responsive to the determining that the performance exceeds the threshold, identifying a second outlet to distribute the first content item, and providing the first content item to the second outlet responsive to the identifying of the second outlet. Other embodiments are disclosed.

Abstract: Systems and methods for building a device graph for cooperative device identification are disclosed. Various information is received at a computing system over a communications network, include information defining a relationship between (i) a unique identifier associated with a first device of a user and (ii) a unique identifier associated with the user, and information defining a relationship between (i) a unique identifier associated with a second device of the user and (ii) the unique identifier associated with the user. The unique identifiers associated with the devices are each mapped to the platform-wide identifier based at least in part on the unique user identifier. A device graph comprising a plurality of device nodes is constructed, with related device nodes connected by one or more edges. Nodes representing the devices are linked based on a relationship identified between them using the platform-wide identifier.

Abstract: Aspects of the subject disclosure may include, for example, receiving from a campaign manager device information defining a line item in an online advertising system, including receiving information defining constraints for the line item. The subject disclosure may further include collecting browsing history information for targetable users matching the constraints for the line item, generating a machine learning model to rank the targetable users and building a new segment based on users ranked by the model. The subject disclosure may further include providing, to the campaign manager device, a recommendation to add the new segment to the line item, receiving from the campaign manager device an indication to attach the new segment to the line item, and subsequently, providing advertisement content to targeted users according to the line item including the new segment. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving an indication of a selection of a first advertisement included within a first content item from a communication device, transmitting terms of purchase associated with the first advertisement responsive to the receiving of the indication of the selection of the first advertisement, selecting a second content item based on an indication of the first content item and/or a context associated with the communication device, transmitting the second content item to the communication device responsive to the selecting of the second content item, obtaining an indication of a transaction completed for a purchase from the communication device, selecting a second advertisement responsive to the indication of the transaction, and transmitting the second advertisement to the communication device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, determining an ad play list for an Over-The-Top video stream requested by an end user device based on a price and/or a category of a creative derived from auctions with multiple Supply-Side Platform servers. The ad play list can be determined for the ad pod according to business rules, which can include a yield policy based on increasing revenue for a publisher of the video stream, and/or which can include a competitive separation policy enforced based on the category for bid responses. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a session record including properties visited by a consumer during a sample period and extracting, from the session record, a select group of properties associated with a particular category of a predetermined taxonomy of various marketplaces. A breadth value of the select group of properties visited during the sample period is determined according to a number of unique properties of the select group of properties. A depth value of the properties visited during the sample period is also determined according to an extent of consumer interaction with content of properties of the select group of properties. A change point, indicating a state transition along a purchase cycle, is determined based on variations in distributions more than one of the breadth, depth, and recency values without relying on an assumption of a specific parametric family. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, collecting television viewership information for viewers of television content items of a television advertising campaign, collecting digital viewership information for online activity by users, joining the television viewership information and the digital viewership information, wherein the joining comprises associating household identifiers of the television viewership information with device identifiers of the digital viewership information, building a content ranking of digital content items closest to the television content items and initiating, by the processing system, a digital advertising campaign with one or more digital content items of the content ranking of digital content items attached to the digital advertising campaign. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, monitoring a performance of a creative presented by a first plurality of client devices in conjunction with a distribution of a first content item via a first outlet, determining that the performance exceeds a threshold, responsive to the determining that the performance exceeds the threshold, identifying a second outlet to distribute the first content item, and providing the first content item to the second outlet responsive to the identifying of the second outlet. Other embodiments are disclosed.

Abstract: Systems and methods for building a device graph for cooperative device identification are disclosed. Various information is received at a computing system over a communications network, include information defining a relationship between (i) a unique identifier associated with a first device of a user and (ii) a unique identifier associated with the user, and information defining a relationship between (i) a unique identifier associated with a second device of the user and (ii) the unique identifier associated with the user. The unique identifiers associated with the devices are each mapped to the platform-wide identifier based at least in part on the unique user identifier. A device graph comprising a plurality of device nodes is constructed, with related device nodes connected by one or more edges. Nodes representing the devices are linked based on a relationship identified between them using the platform-wide identifier.

Abstract: Aspects of the subject disclosure may include, for example, a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitates a performance of operations including identifying an occurrence of a linear advertisement aired on a network channel of a multichannel video programming distributor system; estimating a first subscriber audience of the multichannel video programming distributor system exposed to the linear advertisement; identifying a second subscriber audience of the multichannel video programming distributor system provided an addressable advertisement during the occurrence of the linear advertisement; and determining a residual audience from the first subscriber audience and the second subscriber audience, wherein the residual audience comprises viewers in the first subscriber audience that are not in the second subscriber audience. Other embodiments are disclosed.