Abstract: An example apparatus includes an audience size calculator circuitry to determine a first census-level audience size, and an impression count calculator circuitry to determine a first census-level impression count.

Abstract: Methods, systems, and media for dynamically detecting mobile environment information are provided.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for a content acquisition system to recommend for acquisition a subset of content items selected from a set of content items available for purchase in relation to a content recommendation system currently used in a media environment. The content acquisition system may include a content recommendation system simulator to estimate an impact function value for a potential subset of content items of the set of content items available for purchase based on the currently used content recommendation system. Afterwards, an acquisition recommender can recommend for acquisition a subset of content items based on an optimized objective function value calculated based on an optimization model while meeting one or more budget constraints.

Abstract: A system and method to determine a sentiment score associated with a review element extracted from a first review posted by an end-user system to a first review platform of the plurality of review platforms, where the first review is associated with a merchant system. In view of a review response template associated with the merchant system, a first review response is generated, the first review response including a set of values corresponding to a set of response components, where a value of the set of values includes the review element. The first review response to the first review platform is distributed via a first application program interface associated with the first review platform. Feedback relating to the first review response is received. One or more terms of the review response template are adjusted in view of the feedback to generate an updated review response template.

Abstract: A method and a system for arranging a user multi-session from a plurality of user sessions, where the sessions are received from a plurality of computerized client devices communicatively coupled via a communication network to at least one content server. At least some of the client devices may be operated by a same user, and the data content may include at least part of data communicated between any client device and any content server. The method including dividing the received data content into a plurality of sessions, where at least two sessions are associated with the same user, selecting at least two sessions received from at least two respective client devices associated with the same user, and associating the selected at least two sessions to form a multi-session.

Abstract: A disclosed workload distribution method determines a yield index for each microservice associated with a containerized application executing on a potentially heterogeneous cluster information handling systems. Each microservice is then assigned to one of N priority categories based on its yield index, where three is an acceptable, but not exclusive, value of N. Resource configuration profiles are maintained for each of the priority categories. Each resource configuration profile assigns a resource configuration to each microservice. An information handling resource associated with a particular microservice is configured in accordance with the resource configuration assigned to the particular microservice by a particular resource configuration profile corresponding to the yield index. In this manner, workloads can be assigned and resources configured in accordance with the containerized application's priorities as exposed by the value indices.

Abstract: In a system configured to enable mutual communications between a contents server and a video display device, the contents server is configured to accumulate a plurality of video contents, receive operator analysis information transmitted from the video display device, select at least one video content from the plurality of accumulated video contents based on the operator analysis information received by an operator information receiving unit, and transmit the selected content to the video display device. The video display device is configured to receive a digital broadcast wave, select a digital broadcast program, acquire the operator analysis information of the video display device, transmit the acquired operator analysis information to the contents server, receive the video content transmitted from the contents server, and select and display one of the digital broadcast program selected by a digital broadcast program selector and the video content received by a video contents receiving unit.

Abstract: Television is the largest advertising category in the United States with over 65 billion spent by advertisers per year. A variety of different targeting algorithms are compared, ranging from the traditional age-gender targeting methods employed based on Nielsen ratings, to new approaches that attempt to target high probability buyers using Set Top Box data. The performance of these different algorithms on a real television campaign is shown, and the advantages and limitations of each method are discussed. In contrast to other theoretical work, all methods presented herein are compatible with targeting the existing 115 million Television households in the United States and are implementable on current television delivery systems.

Abstract: Systems and methods for the optimized allocation of content on a content distribution system according to a content distribution plan are described. In some embodiments, a management system may be configured to generate an optimized schedule for content distribution, such as an advertising campaign. For a television distribution schedule, an impressions forecast may be generated based on the available inventory and historical audience measurement information, such as television ratings for a television advertising campaign. An optimized schedule may be generated based on the impressions forecast and content may be distributed according to the optimized schedule. Measurement information relating to the distribution according to the optimized schedule may be analyzed and used to generate a re-optimized schedule, for example, that may be used to schedule the advertising campaign on a subsequent day.

Abstract: Systems and methods utilizing a classification model and a ranking model are disclosed. A user identifier is received and a user profile is generated. The user profile includes a plurality of user features. The user profile is classified into a classification using a trained classification model. The trained classification model receives a first subset of the plurality of user features. A set of communication elements is ranked using a trained ranking model. The trained ranking model receives a second subset of the plurality of user features. An electronic communication including a plurality of interface elements is generated. The plurality of interface elements includes at least one communication element selected from the ranked set of communication elements in descending ranked order. A type of the electronic communication is selected based on the classification of the user profile.

Abstract: Provided is an operating method of an advertisement management device, the operating method including: based on log data of a plurality of users collected from a certain game, setting at least one group for the certain game; registering advertisement information to be provided to the at least one group; requesting a plurality of platform servers capable of providing advertisements to provide the advertisement information for each of the at least one group; obtaining, from the plurality of platform servers, feedback information of advertisements provided for each of the at least one group; and based on the feedback information, performing management of the advertisement information registered for each of the at least one group.

Abstract: A method of delivering advertising in an online environment includes determining a context of a user operating a client computer to interact with an e-commerce website, where the determined context representing an intent of the user to locate a product for purchase, defining a relation between one or more of a plurality of advertisements and the product based on at least one of a plurality of relevance types, and displaying, to the user, at least one of the advertisements having the relation to the product.

Abstract: Supplemental content can be determined through a server-side process, wherein a primary content provider can obtain the supplemental content from a supplemental content provider before any of the content is sent to the client device initially requesting the primary content. A primary content provider submits a request that can include an authorization token for the primary content provider, a publisher token including a proxy identifier for the user, application, or client device, and other relevant information. The supplemental content provider can verify the information and select targeted content based on the information. The supplemental content can then be provided to the primary content provider for incorporation with the primary content. The primary content provider can adjust the layout or selection before sending to the client device for display.

Abstract: A computer-implemented method of partitioning a blockchain network into shards is disclosed. The method comprises the steps of identifying a transaction id of a blockchain transaction and allocating the transaction to a shard based on the transaction id.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform determining a respective interaction metric between at least two respective keywords of a plurality of keywords; constructing, using each respective interaction metric, as determined, a graph comprising a plurality of nodes connected by at least one edge; identifying one or more clusters of nodes using the graph; optimizing each cluster of nodes of the one or more clusters of nodes; and facilitating altering a graphical user interface (GUI) of an electronic device based upon a cluster of nodes of the one or more clusters of nodes, as identified and optimized. Other embodiments are disclosed herein.

Abstract: Methods and apparatuses are described for automated optimization and personalization of customer-specific communication channels using feature classification. A server captures historical interaction data comprising a channel type, a user identifier, an interaction date, and a user response value. The server generates a channel feature vector for each combination of channel type, user identifier, and interaction date. The server identifies features from the channel feature vectors for each different channel type and aggregates the features into a common feature vector. The server executes a trained classification model on the common feature vectors to select user identifiers for each different channel type that have an engagement probability value at or above a corresponding threshold.

Abstract: Certain aspects of the present disclosure relate to methods and systems for optimized delivery of communications including content to users of a software application. The method also includes obtaining, by a customer engagement platform (CEP), a set of cohort selection criteria for identifying a user cohort to deliver the content; identifying, by a data analytics platform (DAP), the user cohort to communicate with in accordance with the set of cohort selection criteria; identifying, by the DAP, one or more communication configurations for communicating with one or more sub-groups within the user cohort; and to each user of the user cohort, transmitting one or more communications based on the content and a corresponding communication configuration for a sub-group that may include the corresponding user; and measuring engagement outcomes associated with usage of the corresponding one or more communication configurations in communication with each of the sub-groups.

Abstract: Method and computing device for performing dynamic digital signage campaign optimization. Screen data associated to screens controlled by the computing device and requirements of active campaigns are stored at the computing device. The screen data comprise characteristics of the screens and screen activity data defining the activity the screens for the active campaigns. The computing device receives requirements of a candidate campaign and generates a mathematical model based on the requirements of the candidate campaign, the requirements of the active campaigns, and at least some of the screen data. The mathematical model is transmitted to a mathematical solver and a mathematical solution generated by the mathematical solver is received. The computing devices generates configuration data for the candidate campaign based on the mathematical solution.

Abstract: An initial list of candidate items automatically evaluated and chosen for an end-user is provided. A selection of one or more items in the initial list of candidate items is received from an expert user different than the end-user to include in an item group set for the end-user. Eligible items are evaluated to identify an additional item to include in the item group set based at least in part on an expert judgement prediction machine learning model trained to predict based at least in part on the one or more items already in the item group set a likelihood of a certain item being evaluated would be selected for inclusion in the item group set. Based on the evaluation, the additional item is included in the item group set. Member items in the item group set are indicated.

Abstract: A campaign management system manages campaign datasets, wherein a campaign dataset corresponds to selections and instructions for executing an online campaign. A campaign dataset might be created by a human or a machine, or multiple humans and computers in a crowd-sourcing approach. Campaign datasets can be processed to determine an expected quality metric, a post-run quality metric, and a confidence level. A campaign comparator can compare campaign datasets to identify similar campaign datasets so that an expected quality metric, a post-run quality metric, and/or a confidence level from one campaign dataset can be imputed to another campaign dataset.

Abstract: In a system configured to enable mutual communications between a contents server and a video display device, the contents server is configured to accumulate a plurality of video contents, receive operator analysis information transmitted from the video display device, select at least one video content from the plurality of accumulated video contents based on the operator analysis information received by an operator information receiving unit, and transmit the selected content to the video display device. The video display device is configured to receive a digital broadcast wave, select a digital broadcast program, acquire the operator analysis information of the video display device, transmit the acquired operator analysis information to the contents server, receive the video content transmitted from the contents server, and select and display one of the digital broadcast program selected by a digital broadcast program selector and the video content received by a video contents receiving unit.

Abstract: In general, in one aspect, a method includes compiling user interaction statistics for a set of content items displayed in association with a first target media document having a non-textual portion, at least some of the content items associated with one or more keywords, based on the interaction statistics, associating the first target media document with at least some of the keywords associated with the content items, and based on a common attribute of the first target media document and a second target media document having a non-textual portion, associating the second target media document with at least some of the keywords assigned to the first target media document. Other aspects include corresponding systems, apparatus, and computer programs stored on computer storage devices.

Abstract: In one embodiment, a method is illustrated as including defining a set of perspective objects capable of being placed onto a modified web page, monitoring parameters of a web page, the parameters including a number of times a current object is executed on the web page, using an Artificial Intelligence (AI) algorithm to determine a perspective object with a preferred Return On Investment (ROI), and selecting the perspective object to be placed onto the modified web page.

Abstract: An image processing system for verifying that embedded digital content satisfies a predetermined criterion associated with display of the content, the image processing system a content embedding engine that embeds content in a resource provided by a content provider and that configures the resource for rendering, a rendering engine that renders the content embedded in the resource; an application interface engine that interfaces with the rendering engine and that generates a visualization of the resource and of the embedded content rendered in the resource; and an image processing engine that processes one or more pixels of the generated visualization of the resource and of the embedded content and the resource to verify that the specified visual element satisfies the predetermined criterion; and transmits verification data comprising an indication of whether the predetermined criterion is satisfied.

Abstract: Systems and methods for the selection of the promotions are provided. A set of possible offers are initially received, each including a set of variables, with each variable having a set of possible values. These form a combination of variable values for each offer. A heuristic is applied to all possible offers to reduce the number of offers being considered. The combination of variable values for these reduced number offers is converted into a vector value, which is then scored, ranked and the top ranked offers are selected for inclusion in a promotional campaign. The remaining offers are then analyzed to select additional offers to include into the promotional campaign which maximizing a determinant for the selected offers using their vectors. All selected offers are administer in a promotional test campaign across many consumer segments. Feedback from the campaign may be collected to generate a “general” offer.

Abstract: Described herein are techniques for streaming digital media content, such as music, video, or television content. In accordance with some embodiments, a server system associated with a media-providing service provides first media content to a user of the media-providing service. The server system analyzes the first media content and selects second media content for delivery in conjunction with the first media content based at least in part on the analysis of the first media content. The method further comprises providing the second media content in conjunction with the first media content.

Abstract: A method for relating different types of records. The method may include providing comparison functions, wherein each comparison function corresponds to a semantical class, and wherein a computational cost is associated with each comparison function. The method may include determining one or more attribute pairs between the different types of records. The method may include sorting the comparison functions according to a determined accuracy. The method may include selecting a set of comparison functions associated with semantical classes according to a predefined rule. The method may include determining a total computational cost based on the computational cost of the selected set of comparison functions. The method may include determining whether two or more records are related using the selected set of comparison functions. The method may include relating the two or more records. The method may include determining a rate of false negative records.

Abstract: A device may receive an image. The device may utilize an episodic memory to determine a first classification associated with the image. The device may utilize a semantic memory to determine a second classification associated with the image. The device may determine an accuracy associated with utilizing the semantic memory to determine the second classification. The device may determine that the image is associated with the first classification when the accuracy fails to satisfy a threshold accuracy. The device may determine that the image is associated with the second classification when the accuracy satisfies the threshold accuracy.

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: Systems, methods and computer-readable media for a decentralized application system that enables participating parties to automate the buying and selling of TV media units and/or aggregated TV and premium video audiences is described. The value-based TV/premium video media exchange application system allows the participants to interact with the system directly and/or automate transactions and execution between systems, while ensuring proper governance over each participants own rules and economics associated with the transactions, as well as individual campaign constraints and requirements. The decentralized application system significantly lowers current transaction and execution barriers, timing and costs, while providing a highly accountable and trusted system across all of the exchange participants.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for categorizing a data set. An example method includes receiving first electronic information comprising objective indicia of quality associated with the data set and second electronic information comprising subjective indicia of quality associated with the data set. The example method further includes generating third electronic information comprising analytical indicia of quality associated with the data set based on the first electronic information and the second electronic information. The example method further includes generating a data quality rating for the data set based on the first electronic information, the second electronic information, and the third electronic information. Subsequently, the example method includes generating a data quality categorization for the data set based on the data quality rating.

Abstract: An edge gateway system securely delivers and exposes data generated by and/or related to a process plant for consumption by external systems, and includes a field-facing component that sends, to an edge-facing component of the system, a collection of data types defined based on configurations of the process plant and represented using a syntax that is native to the one or more external systems. The field-facing component streams process plant-related content data indicated by one or more interest lists to the edge-facing component, where the streamed data is expressed using the collection of data types. Each interest list may include multiple types of data (e.g., control, I/O, diagnostic, device, historical, etc.) that collectively represent a particular named entity of the plant. Accordingly, the streamed data is securely delivered and exposed, via the edge-facing component, to the external systems.

Abstract: Methods, systems, and media for dynamically detecting mobile environment information are provided.

Abstract: A computer-implemented, network-connected content recommender generating content recommendations for a plurality of content servers hosted by one or more customers, the content recommender comprising: one or more processors; a memory storing instruction that, when executed by the one or more processors, cause the recommender to perform operations comprising: receiving a plurality of content recommendation requests from a querying one of said customer content servers via a plurality of input streams, each input stream including a data repository; outputting data, from the memory, associated with the content recommendation requests; receiving some or all of the data associated with said content recommendation requests; generating a first model-specific recommendation result from a first set of the plurality of received data; generating a second model-specific recommendation result from a second set of the plurality of received data; combining the first model-specific recommendation results with the second model

Abstract: Aspects of the present disclosure relate to machine learning techniques for continuous implementation and training of a machine learning system for identifying the natural language meaning of visual content. A computer vision model or other suitable machine learning model can predict whether a given descriptor is associated with the visual content. A set of such models can be used to determine whether particular ones of a set of descriptors are associated with the visual content, with the determined descriptors representing a meaning of the visual content. This meaning can be refined based on a multi-armed bandit tracking and analyzing interactions between the visual content and users associated with certain personas related to the determined descriptors.

Abstract: Systems and methods are disclosed for optimizing data element usage according to user-defined objectives, comprising receiving a plurality of user-defined objectives associated with a group of data elements; receiving one or more constraints associated with the group of data elements, wherein at least one of the constraints comprises resources apportionable to each data element in the group of data elements; apportioning at least a portion of the resources to each data element in the group of data elements in a manner that meets the one or more constraints; receiving metrics associated with the performance of the group of data elements in meeting the plurality of user-defined objectives; determining an effectiveness of each data element in the group of data elements for meeting the plurality of user-defined objectives; and automatically revising the at least a portion of resources associated with each data element in the group of data elements.

Abstract: In an example embodiment, a method for processing payments made via an electronic payment processing system is provided. An example method includes obtaining training data from a data source. The training data relates to prior purchases made via the electronic payment processing system, wherein the data source includes, in some examples, only a checkout page in a purchase transaction funnel. Features associated with a negative user action in relation to prior purchases are identified. A machine learning algorithm produces a dynamic transactional behavior score indicative of a probability that a purchase will invoke a negative user action.

Abstract: Aspects of the subject disclosure may include, for example, a method including obtaining an advertisement package, wherein the advertisement package defines an interactive extended reality advertisement and includes a plurality of optional features; obtaining information about a user, their equipment, and their environment; creating an interactive extended reality advertisement by choosing a selected feature of the plurality of optional features according to the user information; and presenting the interactive extended reality advertisement to the user equipment. Other embodiments are disclosed.

Abstract: Systems, apparatus, methods, and computer program products are provided for optimized and effective leading messages, which may be an email subject that may provoke a consumer to access the body portion of an email message. A system may include circuitry configured to programmatically determine a predicted access rate for a leading message when the leading message is provided as a portion of a promotional message. Circuitry may be configured to track historical data indicating the access rates of leading messages and/or leading message terms. The circuitry may be configured to leverage the historical data to determine predicted access rates for leading messages, such as based at least in part on historical access rates associated with one or more leading message terms of the leading message.

Abstract: A server and method of providing an object for accessing a service of a service provider are provided. The server includes a context model providing unit configured to provide to the service provider at least one context model that is associated with the service, which is used by a device or a user, and a situation in which the device or the user uses the service; a purchase request receiving unit configured to receive a purchase request submitted by the service provider for a context model which is selected from among the at least one context model; and an object generation unit configured to generate the object for accessing the service of the service provider. The generated object is matched with the context model associated with the purchase request received from the service provider.

Abstract: Techniques for integrating freshness and relevance within a programmatic relevance service are discussed herein. Some embodiments may include a relevance service system, including one or more batch processors and one or more online processors. The one or more batch processors may be configured to track message recipient behavior from electronic clickstream data, and generate models of functions that predict access probability for individual users. The one or more online processors may use the access probability calculated in batch to facilitate on demand deal ranking adjustments that account for freshness as informed by the predicted access probability for communications sent to the user.

Abstract: Techniques for synchronization for cross-context digital item containers and collaboration are provided, receiving a user command to share a particular digital item from a first portfolio of digital items with a second portfolio of digital items. In response receiving the command to share the digital item, making a digital copy of it and placing it in the second portfolio of digital items. Subsequently, an alteration is made to the digital item and a determination is made with whom to share the alteration among those with whom the digital item had been previously shared. Those alterations can be accepted (or rejected) by the other portfolios. When they are accepted, they are applied to the digital copy.

Abstract: Methods and apparatus to generate audience measurement data from population sample data having incomplete demographic classifications are disclosed.

Abstract: Techniques for using a machine-learned model to personalize content item density. In one technique, an entity that is associated with a content request is identified. Multiple sets of content items are identified that includes content items of different types. A first position of a first slot is determined in a content item feed that comprises multiple slots. A second position of a previous content item is determined, in the content item feed, that is of a first type. A difference between the first position and the second position is determined. Based on the difference, a gap sensitivity value that is associated with the entity and is different than the difference is determined. Based on the gap sensitivity value, a content item from the multiple sets of content items is selected and inserted into the first slot. The content item feed is transmitted to a computing device to be presented thereon.

Abstract: This invention relates to using topological analysis of a graph representing a multi agent computer simulation in order to allocate agents to a multiprocessing computer system so as to optimize the calculation of the simulation.

Abstract: The disclosed embodiments include methods, systems, and articles of manufacture for providing offers for linked transactions. Transaction data corresponding to a first product physically purchased using a financial service account and product identification data identifying the first purchased product are received. The transaction data and the product identification data are associated. A consumer that purchased the first product is determined based on at least the transaction data. Follow-on purchase to offer for sale to the consumer based on the product identification data is determined and a follow-up purchase offer to purchase the follow-on product is generated. The consumer is provided with the follow-on purchase offer to enable the consumer to purchase the follow-on product in an electronic commerce purchase transaction.

Abstract: An account identification apparatus sets browsing authority for each of accounts such that browsing permission/prohibition is different for each of Web pages. Furthermore, the account identification apparatus causes a user terminal having accessed a predetermined Web site to transmit a request to each of the Web pages so as to acquire information about browsing permission/prohibition for each of the Web pages with regard to the user terminal and uses the acquired information about browsing permission/prohibition to identify an account with which the user terminal has logged in.

Abstract: A method of adjusting a resource competition threshold for qualifying resource competition participants in resource competition is described. Processing circuitry of an apparatus obtains first competition data associated with a first time period, obtains a first optimal threshold according to the first competition data, and set the resource competition threshold according to the first optimal threshold. The processing circuitry obtains second competition data associated with a second time period, and obtains a second optimal threshold according to the second competition data. When a difference between the second optimal threshold and the resource competition threshold is greater than a difference threshold, the processing circuitry obtains third competition data and updates the resource competition threshold according to the third competition data.

Abstract: Systems and methods are presented for determining non-promotion content to include in an electronic promotion correspondence sent to a consumer. A promotion program offering system may access a set of promotions generated for a target consumer and determine the effect of presenting non-promotion content with one or more of the promotions. The promotion program offering system may determine selected promotions and/or non-promotion content to include in the electronic promotion correspondence according to any number of criteria, e.g., to maximize the probability the target consumer purchases one or more promotions in the electronic promotion correspondence.

Abstract: A system and method in accordance with exemplary embodiments may include advertiser auctions based on segmentation informed by purchase data, including a financial institution, one or more advertisers, and a bidding server to facilitate advertiser bidding. Additionally, a system and method in accordance with exemplary embodiments may pool customer and/or transaction information in one or more databases. The system and method in accordance with exemplary embodiments may also utilize a bidding server to permit advertisers to bid on access to information or the ability to present an advertisement and/or offer to a customer.