Abstract: A multi-modal e-commerce system for providing artificial intelligence (AI)-based ticket booking to a plurality of users, comprising a system application running on a user device and an AI-enabled engine. The system application includes a hybrid interface, which includes a first interface and a second interface. The first interface is configured to receive user input in a natural language via a chatbot. The AI-enabled engine processes the user input to generate a searchable query. It uses the searchable query from the user input as one or more keywords to identify a plurality of results. A textual output is generated in the natural language on the first interface based on the plurality of results, and a visual output is generated on the second interface based on the plurality of results. The plurality of results is based on user demographics, preferences, and user feedback from an event database.

Abstract: The methods and systems disclosed herein relate generally to temporally prioritizing queries of queue-task partitions based on distributions of flags assigned to bits corresponding to access rights.

Abstract: The present disclosure generally relates to controlling access to resources by selectively processing requests stored in a task queue to prioritize certain requests over others, thereby preventing automated scripts from accessing the resources. More specifically, the present disclosure relates to a normalization and prioritization system for controlling access to resources by queuing resource requests based on a client-defined normalization process that uses one or more data sources.

Abstract: The present disclosure generally relates to a method that involves in training a machine-learning model using historical data to generate predictive outputs for future routing performance. The method determines optimal routing values based on the model's predictions and uses a reinforcement learning algorithm to select these values from a set of candidates. A positive transmission feedback is generated when a data packet is successfully transmitted, which updates the selection model, thereby refining future routing decisions. The determined routing values are transmitted to a network management system to optimize data packet routing through the network.

Abstract: Systems and methods may use models to generate predictions of specific access rights for users. Further, systems and methods may generate the predictions in an environment in which the availability of the specific access rights change frequently. The access rights, predicted using embodiments described herein, may be both available and associated with user affinities. An interface associated with the primary load management system may be configured to display the predicted access rights for a user operating a user device.

Abstract: The present disclosure generally relates to securing access to resource and access rights using cryptography and the blockchain. Certain embodiments of the present disclosure generally relate to systems and methods that enhance the security of resource access using hierarchical deterministic (HD) cryptography and the blockchain. Certain embodiments of the present disclosure relate to systems and methods that securely and anonymously represent the identity of a user and the user's access code data on a distributed ledger represented across the blockchain.

Abstract: Communications over short-range connections are used to facilitate whether access to resources is to be granted. For example, upon device discovery of one of an electronic user device and an electronic client device by the other device over a Bluetooth Low Energy connection, an access-enabling code associated with a user device or account can be evaluated for validity and applicability with respect to one or more particular resource specifications. User identity can be verified by comparing the user against previously obtained biometric information.

Abstract: Methods and systems disclosed herein relate generally to evaluating resource loads to determine when to transform queues and to specific techniques for transforming at least part of queues so as to correspond to alternative resources.

Abstract: Systems and techniques for leveraging a virtual distributed trustless database using access-enabling codes. The computations use private codes. Each computation includes the information from all previous computations so that a chain of computations is maintained and controlled. A central system insures that dual computations do not occur.

Abstract: A method for detection and use of device identifiers to enhance the security of data transfers between electronic devices. A first electronic device can transmit access data to a second electronic device. The access data can be associated with a first access code that can be generated based at least in part on data representing a device identifier of the first electronic device. A device identifier can uniquely identify the first electronic device from a plurality of electronic devices. Transferring the access data can involve transforming the first access code into a second access code that can include data representing a device identifier associated with the second electronic device. Transforming the first access code into the second access code can facilitate access to a resource associated with the access data for a second user, but not for a first user.

Abstract: A system that facilitates access control at venues through cohort affinity grouping. It verifies users' authenticity by comparing credentials stored in a database, then identifies related users based on social graph data, such as past attendance and social media activity. By determining correlation values among users, it forms cohorts associated with the venue's resources. Users select and join cohorts, and access rights are transmitted accordingly. A smart queue system triggers notifications for check-in, optimizing the process based on predefined intervals. Any member's check-in request triggers check-in for the entire cohort, streamlining entry. The system assigns queue numbers and notifies users of seating arrangements, fostering a cohesive user experience.

Abstract: A resource-access management system detects whether a user is authorized to access resources. The system may include a user device being configured to include a sensor that detects sensor data associated with the user. Further, the system includes a client qualification engine that determines whether or not a client is authorized to access the resources by comparing the sensor data with a plurality of patterns for evaluating whether or not the user is an authorized user. User scores are generated based on the compared sensor data and the plurality of patterns. Further, a composite score corresponding to the user is generated using the sensor data, plurality of patterns, and one or more additional criteria. Whether the user is granted access to the resources, presented with unauthorized user tests, or blocked from access to the resources depends on the composite score and threshold values.

Abstract: The present disclosure generally relates to Blockchain-based systems configured to process access rights to resources in a computationally efficient manner. Certain embodiments of the present disclosure generally relate to systems and methods that generate distributed applications to represent digital access rights to resources. Additionally, certain embodiments of the present disclosure generally relate to systems and methods that enhance the processing of assigning access rights using a Blockchain-based system using metadata.

Abstract: The present disclosure generally relates to a primary load management system configured to execute machine learning and artificial intelligence techniques to generate predictions of access-right requests that are or are likely to be invalid before the access-right requests are processed for assignment to users or user devices. The present disclosure relates to systems and methods that collect a data set representing characteristics of user devices as the user devices interact with various systems of the primary load management system and train a machine-learning model to predict invalid access-right requests using the collected data set. The collected data set may include a log line that represents each user device, and each log line may be labeled based on an invalidity evaluation. New access-right requests can be processed using the trained machine-learning model to determine whether or not to assign access rights in response to the access-right request.

Abstract: The present disclosure generally relates to visually varying an image using parallax image layers, and more specifically, relates to visually varying presentation of an access right displayed on a mobile device to enhance verification of access to resources. The variation of multiple layers of an image may be based on sensor data detected at the mobile device.

Abstract: The present disclosure generally relates to systems and methods that provide a network environment that enables reassignment platforms to provide authentic access rights for reassignment to user devices. More specifically, the present disclosure relates to systems and methods in which a reassignment platform can execute a protocol implemented using code (e.g., an Application Programming Interface (API)) to validate the authenticity of access rights made available for reassignment, and once reassigned, reissue the access rights to a new user and transmit those access rights to user devices natively in a mobile application.

Abstract: A method for simulating a social media account history may be provided. The method may include generating social media identification information (“social media ID”). The method may also include creating an account history for the social media ID with respect to a pre-determined entity. The creating may include identifying the social media ID with respect to at least one of a time-stamped indication of affinity for the predetermined entity. The creating may also include tagging of a photograph of the entity. The creating may also include linking of a photograph of the pre-determined entity. The creating may also include a threshold amount of streaming audio time relating to the predetermined entity. The method may also include querying the account history to determine whether the account history includes one or more parameters that indicate whether the social media ID information is related to an automated entity or a human entity.

Abstract: The present disclosure generally relates to systems and methods that intelligently generate reassignment value conditions for reassigning access rights. The systems and methods include executing a trained contextual machine-learning model to generate predictions of value components of the reassignment value condition, which once satisfied, enables an access-right requestor to have an assigned access right reassigned to the access-right requestor.

Abstract: Techniques herein attempt to provide actors with more flexible and satisfactory experiences regarding obtaining tickets for an event. A learning model may identify attributes indicative of whether a particular actor (e.g., attempting to purchase tickets to an event) possesses a desirable characteristic (e.g., is likely to attend the event). Each actor can then be evaluated to estimate whether she is a good actor (possesses the characteristic). If so, favored opportunities may be made available, such as the opportunity to buy high-demand tickets. An actor may further have the opportunity to hold or reserve tickets for a period time, during which other actors cannot purchase them. A fee for holding or reserving tickets (and/or maintaining the hold or reserve) can be dynamically set based on market factors. Opportunities to modify seat assignments to allow a group of friends to sit together may also be provided.

Abstract: The present disclosure provides systems and methods that may convert traditional tickets into secure digital assets protected by cryptographic public/private keys that deploy these tickets on a blockchain. By structuring these tickets as smart digital contracts, such system can act as a self-policing escrow while simultaneously allowing ticket issuers greater control over the tickets after the tickets leave the ticket issuers' possession. The system can incorporate specific capabilities into the digital assets to provide an increased level of multiple ownership, security granularity, and sales restrictions in ticket transactions.