Methods for generating data models using a generative adversarial network can begin by receiving a data model generation request by a model optimizer from an interface. The model optimizer can provision computing resources with a data model. As a further step, a synthetic dataset for training the data model can be generated using a generative network of a generative adversarial network, the generative network trained to generate output data differing at least a predetermined amount from a reference dataset according to a similarity metric. The computing resources can train the data model using the synthetic dataset. The model optimizer can evaluate performance criteria of the data model and, based on the evaluation of the performance criteria of the data model, store the data model and metadata of the data model in a model storage. The data model can then be used to process production data.

Methods for generating data models using a generative adversarial network can begin by receiving a data model generation request by a model optimizer from an interface. The model optimizer can provision computing resources with a data model. As a further step, a synthetic dataset for training the data model can be generated using a generative network of a generative adversarial network, the generative network trained to generate output data differing at least a predetermined amount from a reference dataset according to a similarity metric. The computing resources can train the data model using the synthetic dataset. The model optimizer can evaluate performance criteria of the data model and, based on the evaluation of the performance criteria of the data model, store the data model and metadata of the data model in a model storage. The data model can then be used to process production data.

The present invention provides a method for updating and displaying information, which comprises a matrix program that operates as a program to analyze a data list and to form a table separately by setting a plurality of keywords, then produce an alive matrix map after the analysis result is matched and the table is created; therefore, the alive matrix map can add new data lists without repeating the tedious setting steps.

The present invention provides a method for updating and displaying information, which comprises a matrix program that operates as a program to analyze a data list and to form a table separately by setting a plurality of keywords, then produce an alive matrix map after the analysis result is matched and the table is created; therefore, the alive matrix map can add new data lists without repeating the tedious setting steps.

Systems, methods, and apparatuses for automated population of responses into query fields of a form are discussed. The responses are based on data in a networked user data repository maintained by a first party, and the form is presented by a second party. A login request for access to data in the user data repository may be received from a remote computing device. If access to the data in the user data repository is authorized, descriptors for at least one of the query fields may be received, and based on the descriptors, it may be determined whether any responses to any query fields are contained in the user data repository. Query fields may be populated with responses obtained through the data repository. The user provides the second party with information that is made available to the first party without separately inputting the information into the form of the second party.

Systems, methods, and apparatuses for automated population of responses into query fields of a form are discussed. The responses are based on data in a networked user data repository maintained by a first party, and the form is presented by a second party. A login request for access to data in the user data repository may be received from a remote computing device. If access to the data in the user data repository is authorized, descriptors for at least one of the query fields may be received, and based on the descriptors, it may be determined whether any responses to any query fields are contained in the user data repository. Query fields may be populated with responses obtained through the data repository. The user provides the second party with information that is made available to the first party without separately inputting the information into the form of the second party.

Systems and methods comprising: analyzing an electronic resource to identify Entities in textual content (wherein each Entity comprises word(s)); performing machine learning operations to assign an entity type classification of a plurality of entity type classifications to at least one of the Entities; performing machine learning operations to assign each said Entity to one or more segments of the textual content that respectively comprise facts about people; performing machine learning operations to recognize relationships of the Entities to each person or business entity identified in the textual content and assign a relationship classification of a plurality of relationship classifications to at least one of the Entities associated with one of the recognized relationships; converting the electronic resource into relationship vectors based on outputs of the first, second and third classifiers; and controlling operations of a software application using the relationship vector.

Systems and techniques that facilitate keyword-object taxonomy generation and utilization are provided. In various embodiments, a system can comprise a receiver component that can access an input object class. In various aspects, the system can comprise a taxonomy component that can output one or more keyword combinations that are non-redundant and relevant to the input object class, based on querying a keyword-object taxonomy. In various instances, the receiver component can access (and/or be provided with an electronic link to) a set of recorded keyword combinations and a set of recorded object classes respectively corresponding to the set of keyword combinations. In various cases, the taxonomy component can generate the keyword-object taxonomy based on the set of recorded keyword combinations and the set of recorded object classes.

A Searchable Application Representation is generated with the exact structure, content, functionality, and behavior of the Native Mobile Applications and is searchable by Search Engines by providing metadata pointing to the Native Mobile Applications. The Search Engine searches the Searchable Application Representation. When the Search Engine finds the Searchable Application Representation, Pointer, Metadata and Search Material to Corresponding Native Mobile Application on the Internet, the Search Engine becomes aware of the Native Mobile Application and can search the Content contained in the Searchable Application Representation. The Search Engine finds and ranks Content in the Searchable Representation and Pointer, Metadata, and Search Material corresponding to such Content in the Native Mobile Application is passed to the Search Engine, which can use such information to determine the relevancy of such Content according to a certain Search Criteria.

A Searchable Application Representation is generated with the exact structure, content, functionality, and behavior of the Native Mobile Applications and is searchable by Search Engines by providing metadata pointing to the Native Mobile Applications. The Search Engine searches the Searchable Application Representation. When the Search Engine finds the Searchable Application Representation, Pointer, Metadata and Search Material to Corresponding Native Mobile Application on the Internet, the Search Engine becomes aware of the Native Mobile Application and can search the Content contained in the Searchable Application Representation. The Search Engine finds and ranks Content in the Searchable Representation and Pointer, Metadata, and Search Material corresponding to such Content in the Native Mobile Application is passed to the Search Engine, which can use such information to determine the relevancy of such Content according to a certain Search Criteria.