WEB-AUTHORIZATION USING ENHANCED COOKIE
Granted: August 1, 2024
Application Number:
20240259377
A method is provided for authenticating a user. A request to access a resource is received from a user agent. A cookie associated with the request is identified. The cookie includes a first subset of data that was previously used to authenticate the user. The cookie is validated based on the first subset of the data. Responsive to validating the cookie, a second subset of the data is retrieved from server-side storage. A risk decision is generated based on the first subset and the second…
GENERATING AND DISPLAYING TEXT IN A VIRTUAL REALITY ENVIRONMENT
Granted: August 1, 2024
Application Number:
20240257453
A transcript of an audio conversation between multiple users (e.g., two users) is generated. The transcript is displayed in real time within a VR environment as the conversation takes place. A virtual selection tool is displayed within the VR environment to allow for a selection of different portions of the transcript. In addition, a virtual keyboard and or virtual panels with characters may be displayed and the virtual selection tool may be used to make selections from these displays as…
SYSTEMS, METHODS, AND ARTICLES FOR CUSTOMIZATION AND OPTIMIZATION OF RECOMMENDATION ENGINE
Granted: August 1, 2024
Application Number:
20240257267
Systems and methods or determining tax recommendations for a taxpayer by using a tax calculation graph to identify tax variables that a taxpayer can control and modify, including a recommendation engine configured to analyze a tax calculation graph which is calculated using tax data of the taxpayer. An identified tax variable can be analyzed by determining nodes of the graph affecting a value of the identified tax variable, providing a user interface enabling at least one modification to…
EFFICIENT REAL TIME SERVING OF ENSEMBLE MODELS
Granted: August 1, 2024
Application Number:
20240256984
A method implements efficient real time serving of ensemble models. The method includes receiving an input and processing the input with an abridged model to generate a set of component scores and an abridged score. The method further includes processing the set of component scores with a deviation threshold to select one of the abridged score and an ensemble score as an output and presenting the output.
MACHINE LEARNING MODEL ARCHITECTURE FOR COMBINING NETWORK DATA AND SEQUENTIAL DATA
Granted: August 1, 2024
Application Number:
20240256830
A method including building a graph data structure storing network data from a relational data structure that stores sequential data describing object identifiers and relationships between the object identifiers. The method also includes generating, from the sequential data, a features matrix for the object identifiers. The method also includes building a machine learning model layer including a long short-term memory neural network (LSTM) programmed to take, as input, the features…
MACHINE LEARNING ENSEMBLE FOR PROCESSING DIVERGENT INPUT DOMAINS FOR AUTOMATED SCHEDULING SYSTEMS
Granted: July 18, 2024
Application Number:
20240242184
A method including receiving a selected domain from a set of domains. The method also includes selecting, based on the selected domain, a selected machine learning model from among a set of machine learning models. Each of the machine learning models is configured to receive, as input, a dataset of past time-dependent data and generate, as output, a corresponding predicted quality measure for each of a number of time periods. The selected machine learning model is trained using training…
MACHINE LEARNING MODELS USING CLICKSTREAM-BASED FEATURES FOR ANONYMOUS USERS
Granted: July 18, 2024
Application Number:
20240241915
Systems and methods for inferring recommendations and experiences for anonymous users of an online website are disclosed. Anonymous users of the online website are assigned anonymous user identifiers, and the browsing activity of the anonymous users is converted into features and aggregated over time. The anonymous users' interactions are monitored and used to generate labels that are combined with the feature dataset to produce a training dataset which is used to train a machine…
LEARNING USER ACTIONS TO IMPROVE TRANSACTION CATEGORIZATION
Granted: July 4, 2024
Application Number:
20240221089
A method may include executing a baseline classifier on unreviewed transaction features of an unreviewed transaction record to obtain a baseline account identifier, and executing a comparison model on (i) an unreviewed transaction vector of the unreviewed transaction record and (ii) reviewed transaction vectors to obtain comparison scores. The reviewed transaction vectors may correspond to reviewed transaction records each having a user-approved account identifier. The method may further…
SYSTEMS AND METHODS FOR BLOCKING DECRYPTION CAPABILITIES IN SYMMETRIC KEY ENCRYPTION
Granted: June 20, 2024
Application Number:
20240205001
Systems and methods that may be used to provide policies and protocols for blocking decryption capabilities in symmetric key encryption using a unique protocol in which key derivation may include injecting a random string into each key derivation. For example, a policy may be assigned to each client device indicating whether the client device has been assigned encryption only permission or full access permission to both encrypt and decrypt data. The disclosed protocol prevents client…
SHAREABLE AND NESTED TRANSACTIONS ON HASH CHAINS
Granted: June 13, 2024
Application Number:
20240193588
A method for using shareable and nested transactions on hash chains includes appending a data block of a transaction of a first hash chain to a second hash chain. The second hash chain originates from a tail block of the first hash chain. The method further includes removing the data block from the transaction by setting a tail block identifier of the second hash chain to a previous block appended to one of the first hash chain and the second hash chain prior to the data block. The…
HUMAN TO AVATAR TRANSFORMATION
Granted: May 30, 2024
Application Number:
20240177361
A method, computer program product, and system are provided. A request to initiate a virtual environment for a first user is received from a first application via a network connection with a first user device, a request. The first user is represented by a first avatar within the virtual environment. Based on the request, session data of the first application for the first user is identified. A second user is selected based on the session data. The second user is represented by a second…
USER INTERFACES WITH AUTO-POPULATION TOOLS FOR TIME TRACKING USING MOBILE DEVICES
Granted: May 30, 2024
Application Number:
20240177098
A mobile device application for time tracking provides a dynamic display that auto-populates descriptions (e.g., a job description, a task description) for the hours to be entered. For instance, when a user clocks-in using the application, an auto-population engine executed by the mobile device analyzes the history of time entries by the user and generates a list of likely descriptions for the current entry. The list is displayed as selectable objects. When the user selects an object,…
DATASET RANKING BASED ON COMPOSITE SCORE
Granted: May 30, 2024
Application Number:
20240176788
A method implements a dataset rank metric for measuring dataset relevance. Metadata is identified for a plurality of datasets. A graph structure is generated in storage. The graph structure includes a multitude of nodes connected by a multitude of edges. Each node of the multitude of nodes representing a respective dataset of a multitude of datasets, the multitude of edges connecting the multitude of nodes according to a data lineage determined from metadata of the multitude of datasets.…
TABLES TIME ZONE ADJUSTER
Granted: May 30, 2024
Application Number:
20240176787
A method includes processing a set of query texts to identify a set of expressions, where each expression references a set of columns of datetime data in a datastore. The method also includes training a statistical model to determine a distribution of the datetime data for each column that was identified. The method further includes processing the set of expressions to generate a directed graph including more than one nodes and a plurality of edges, where each node represents one of the…
STACKED MACHINE LEARNING MODELS FOR TRANSACTION CATEGORIZATION
Granted: May 2, 2024
Application Number:
20240144050
A two-stage machine learning model is used to for categorization of a dataset, such as transactions. A plurality of complementary base machine learning models are used to generate initial inference results and associated measures of inference confidence from the dataset, which are collected as a meta dataset. Each of the complementary models is associated with a different part of the dataset in which it has a higher accuracy in that part than the other models. The meta dataset is…
PRIOR INJECTIONS FOR SEMI-LABELED SAMPLES
Granted: May 2, 2024
Application Number:
20240143996
Systems and methods for training machine learning models are disclosed. An example method includes receiving a semi-labeled set of training samples including a first set of training samples, where each training sample in the first set is assigned a known label, and a second set of training samples, where each training sample in the second set has an unknown label, determining a first loss component, the first loss component providing a loss associated with the first set, determining a…
INPUT VALIDATION USING MATHEMATICAL EXPRESSIONS
Granted: May 2, 2024
Application Number:
20240143778
A method implements input validation using mathematical expressions. The method includes receiving an input string, scanning the input string to locate a hit string matching a hit expression from a validation package, and converting the hit string to a list of values corresponding to characters from the hit string. The method further includes validating the hit string by evaluating a validation expression from the validation package using the list of values to generate a validation…
EFFICIENT COUNTERFACTUAL SEARCH
Granted: May 2, 2024
Application Number:
20240143596
A method implements efficient counterfactual search. The method includes receiving a request corresponding to an input vector, processing the input vector with a model to generate an output vector that does not correspond to a selected class, and processing the input vector using a component, of a plurality of components, to generate a counterfactual vector to the selected class. The plurality of components includes a number of dimensions that is less than a number of features of the…
SHALLOW-DEEP MACHINE LEARNING CLASSIFIER AND METHOD
Granted: April 18, 2024
Application Number:
20240127026
A method including receiving a natural language query from a user interface of a chatbot. The method also includes generating an input vector by performing vectorization on the natural language query. The method also includes inputting the input vector to a shallow-deep classifier. The shallow-deep learning classifier includes a classification machine learning model programmed to classify the input vector as being one of a shallow machine learning classification problem and a deep…
MODELING AND MANAGING AFFINITY NETWORKS
Granted: April 11, 2024
Application Number:
20240121154
A method models and manages affinity networks. The method includes receiving real-time transaction data; processing a transaction of the real-time transaction data to identify a source node and a target node of a graph; and processing the transaction to update an affinity score of an edge from the source node to the target node. The method further includes receiving a request; selecting, responsive to the request, the target node using the affinity score after updating the affinity…
