A platform security system and method improve security by binding an identity of a self-contained certificate signing request (SC CSR) requestor to the SC CSR to prevent malicious tampering, such as man-in-the-middle attacks. In at least one embodiment, the requestor, such as a client computer system or other source of a request, requests certificates from a certificate authority (CA). Binding the identity of the SC CSR to the requestor can prevent unauthorized system and/or data access and potentially resultant unauthorized access, malicious tampering, such as man-in-the-middle attacks, and other unauthorized actions or observations. Validation can be performed at the CA on the SC CSR to determine the integrity of the requestor and authorization to receive certificates before the CA sends the certificate to the requestor.

Data transformation caching in an artificial intelligence infrastructure that includes one or more storage systems and one or more graphical processing unit (GPU) servers, including: identifying, in dependence upon one or more machine learning models to be executed on the GPU servers, one or more transformations to apply to a dataset; generating, in dependence upon the one or more transformations, a transformed dataset; storing, within one or more of the storage systems, the transformed dataset; receiving a plurality of requests to transmit the transformed dataset to one or more of the GPU servers; and responsive to each request, transmitting, from the one or more storage systems to the one or more GPU servers without re-performing the one or more transformations on the dataset, the transformed dataset.

A method and system for controlling a display enables the sponsor of an advertisement to score displayed leads by either swiping left of right in the area of a touchscreen where the lead is displayed, to move a slider to indicate a value of the lead, or to otherwise input a score or rating. The method and system also allows a user to verify the accuracy of a displayed lead type identification, and to submit a corrected lead type identification to the provider if the initial identification is incorrect, for use as input to a neural network that performs the lead type identification.

Content creation and deployment collaboration techniques are described. In one or more implementations, metadata that describes the creation of the content may be associated with the content. The content may then be provided from a content creation service to a content deployment service for deployment as part of a marketing activity. Deployment data obtained from this tracking may be utilized to support a variety of functionality, such as by content creators to determine which of their content has been successfully employed as part of marketing activities, marketers may also use knowledge of the deployment of the content to choose content to be included in a marketing activity as well as select content creators that are best suited to provide this content, used to configure badges, by retailers and manufacturers, and so forth.

A system for building a targeted audience for a present online advertising campaign is disclosed. The system comprises a database for storing data related to each of the plurality of products with each product associated with a previous online advertising campaign and a processor in communication with the database and configured to execute computer-readable instructions causing the processor to utilize the data to identify at least one previous online advertising campaign as being similar to the present online advertising campaign, learn from the identified previous online advertising campaign(s) to predict a probability of conversion of each of a plurality of customers when exposed to an impression of the present online advertising campaign, and build the targeted audience for the present online advertising campaign based on the predicted probability of conversion. A method for building a targeted audience for a present online advertising campaign is also disclosed.

An influence system for predicting advertisement impact for campaign selection. For each campaign, an advertising probe campaign is operated by sending an advertisement to each entity in a treatment group of entities. A control group of entities which excludes the treatment group entities is selected and no campaign advertising content is sent to the treatment group entities. An influence model is created for each campaign by comparing features of the respective advertising probe campaign's treatment group converters to features of the control group converters. A campaign is selected for an opportunity to expose a specified entity to advertising based on the result of applying each respective campaign's influence model to features of the specified entity. Advantageously, a campaign operator can make good use of a rare, high quality advertising opportunity by allotting it to an advertising campaign based on a likelihood of influencing the specified entity.

The disclosed computer system provides a selectively programmed Web architecture that implements a procedure and method for selectively serving to a Web page one or more electronic ads wherein the selection process is governed in part by application of a statistical algorithm. In a preferred embodiment of the inventive technology, the system manages and serves electronic ads for affiliated Web page publishers and advertisers. A computer-implemented method in accordance with the disclosed technology receives a request for an electronic advertisement for a Web page, wherein the Web page is associated with a Web page publisher, one or more electronic ads are selected using a statistics based approach, and the one or more electronic ads are communicated to the Web page for display.

Electronic documents are classified and compared according to their temporal qualities. The content of a document relating to an event is analyzed to identify temporal components. These components can be compared with corresponding counterparts in other documents to identify a relative temporal order. The invention can be used in environments such as automated news aggregators, search engines, and other electronic systems which compile information having temporal qualities.

A system and method for providing big data analytics responsive to dynamically-changing data models are provided. The method includes parsing, based on a logical data schema, a user query into a plurality of sub-queries; sending the plurality of sub-queries to a plurality of data stores, wherein each data store is selected based on a physical data schema of a dynamic data schema; receiving a plurality of sub-result datasets, wherein each sub-result dataset corresponds to a sub-query; and combining the plurality of sub-result datasets into a single resulting data set based on a logical schema of the dynamic data schema, wherein the combining includes at least any of: an aggregation operation and a join operation.

In accordance with one or more aspects of selecting between client-side and server-side market detection, a determination is made at a device as to which of a client-side detected market and a server-side detected market is to have priority for a service. An application of the device is configured in accordance with a client-side market configuration setting if the client-side detected market has priority, and is configured in accordance with a server-side market configuration setting if the server-side detected market has priority.