Systems and methods for commanding an execution of a plurality of transactions in response to an improved at least one execution parameter are disclosed. An example system may include a controller having a transaction detection circuit to interpret a plurality of transaction request values, and transaction descriptions for a proposed or an imminent transaction, including a cryptocurrency type value and a transaction amount value. A transaction support circuit may interpret a support resource description including at least one supporting resource for the plurality of transactions. A support utilization circuit may operate an expert system configured to use machine learning to continuously improve at least one execution parameter for the transactions relative to the support resource description. A transaction execution circuit may command execution of the plurality of transactions in response to the improved execution parameter.

Systems and methods for predicting a present facility outcome based on historical facility outcomes. An example system may include a production facility with a production task and a controller. The controller may include a facility description circuit to interpret historical facility parameter values and corresponding outcomes. The controller may further include a facility prediction circuit with an adaptive learning system to train a facility production predictor in response to the historical facility parameter values and corresponding outcome values. The facility description circuit may also interpret present state facility parameter values and the facility prediction circuit operates the adaptive learning system to predict a present state facility outcome value in response to the present state facility parameter values. The adaptive learning system may determine input values related to outcome values, remove input values that are unpredictive of outcomes, and determine relationships between the input and output values.

Systems and methods for adjusting a configuration of a facility AI component to produce a favorable facility output value. An example system may include a facility with a core task and a controller. The controller may include a facility description circuit to interpret historical facility parameter values, facility resource profiles, and corresponding historical facility outcome values. The controller may further include a facility prediction circuit to operate an adaptive learning system configured to train a facility artificial intelligence (AI) configuration circuit in response to the historical facility parameter values and the corresponding outcome values. The facility description may also interpret a plurality of present state facility parameter values and the AI configuration circuit may adjust, in response to present state facility parameter values, facility resource profiles and a configuration of a facility AI component to produce a favorable facility output.

A computer-implemented method and system for generating a confidence indicia. The method may comprise obtaining information associated with one or more items available for selection via user interaction with a user interface of a computing device operating in a computing environment. The computing environment may provide access to resources that store information about at least one characteristic of the one or more items, wherein the at least one characteristic is measurable. A trust level may be determined for a characteristic of a first item based on one or more computerized processes that evaluate values associated with the at least one characteristic across a set of values provided by users who considered at least one of the first item or a second item. The first item and the second item are associable according to a common category.

A social networking system presents users with a content items and ad requests, which may include targeting criteria specifying a topic. Interactions by users who were presented with an advertisement from an ad request including targeting criteria specifying the topic are stored by the social networking system and used to identify a cluster group of additional users having characteristics similar to characteristics of users who were presented with the advertisement from the ad request including targeting criteria specifying the topic and who interacted with the advertisement. The social networking system determines scores for additional users in the cluster group based on measures of similarity between the additional users and the users who were presented with the advertisement and who interacted with the advertisement. Based on the determined scores, the social networking system associates additional users in the cluster group with the topic.

When a server serves web pages and/or software application pages with digital ads to client devices, a system determines viewability scores for individual ad insertion spaces on the pages. The system determines viewability scores for each field based on the time at which at least a threshold percentage or ratio of the field's pixels where viewable and not off-screen or obscured by another open window. The system or the server may then select digital ads to serve to each field based on the field's viewability score.

A method and system is disclosed for storing and manipulating customer transaction data received from a plurality of sources. The method may use a computer system comprising a storage device for storing the customer transaction data and a processor for processing the customer transaction data. The method may comprise receiving the customer transaction data, the customer transaction data relating to spending characteristics; appending customer demographic information to the customer transaction data, the customer demographic information including customer demographic variables; organizing the customer transaction data within a predetermined organizational structure; aggregating the customer transaction data based on at least one of customer demographic variables and spending characteristics; and creating a customer profile based on the customer transaction data.

A method and system for providing network based target advertising and encapsulation having a method for targeting advertising. When no ad in the inventory at the right of first refusal ad server is appropriate to the determined demographic, the method includes: identifying the content server at the right of first refusal ad server based on the ad request; determining a default ad server based on the identified content server, the default ad server being independent, separate, and distinct from the right of first refusal ad server; sending a pass request from the right of first refusal ad server to the default ad server; forwarding the ad request from the content server to the default ad server in response to the pass request; and serving a default ad service ad from the default ad server to the user node in response to the forwarded ad request.

A system and method for providing dynamic pay-for-placement advertisements via graphics-enabled email that generates a display of advertisements when the email newsletter is opened so the advertisements displayed are based on rankings at the time the email is opened instead of when the email was generated and transmitted. In one embodiment, a graphical-content email having one or more embedded advertisement image references is provided to one or more email recipients. The advertisement image reference, in one embodiment, may include query string parameters indicating the context of the image reference and/or portion of the image reference (i.e., identifying the image reference as being part of a particular newsletter email), a position of the image reference in the email display, and the like. A URL reference also may be included with each advertisement image reference (.e.g., one URL for each advertisement portion of the image to be retrieved by the advertising image reference).

A social networking system may provide user metrics for unknown dimensions to an external system using received hash codes from user devices performing actions on the external system. Embodiments of the invention receive hash codes generated by external systems that are embedded in redirect Uniform Resource Locators (URLs) that are executed by user devices. The social networking system may match the received hash codes to identifying information about users, e.g., user identifiers. The user profile information may be reported to external systems based on hash codes in an aggregated format without disclosing identifying information about users. In one embodiment, a hash code may include identifying information of an administrator of an external system to enable the administrator to merge information about users of the social networking system with other unknown dimensions of information about the users that is known by the external system.