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 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: 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: A method for transmitting ticket information to user devices based on interactions of the user devices with a ticket system, is disclosed. The method involves identifying interactions of a first user device and a second user device with the ticket system within a predefined time period. The interactions are associated with ticket requests for a resource. Interaction scores are generated and updated based on the number of interactions. Upon interaction with the first user device, a first interface containing first ticket information is transmitted within the predefined time period, determined by the first interaction score. Simultaneously, in response to the second user device interaction, a second interface with second ticket information is transmitted, determined by the second interaction score. Notably, the second ticket information includes a second quantity of available tickets for the resource, which is lesser than a first quantity in the first ticket information.

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 relates to systems and methods for communicating between devices using short-range communication links. More specifically, the present disclosure relates to systems and methods for communicating access-right data between devices for verification or transfer.

Abstract: Certain embodiments of the present disclosure relate to systems and methods that control access to system resources, such as interfaces, access rights to events, query systems, and other suitable system resources. Further, certain embodiments of the present disclosure relate to a collision detection technique that is implemented to control which and/or a number of queue positions within a queue that are processed. In some implementations, a collision may be detected when two or more users request the same access right within a defined time period.

Abstract: The present disclosure relates to enhancing load processing for facilitated assignment or modification of access-right data. More specifically, the present disclosure relates to enhancing load processing and data storage using hierarchical data structures that can store various iterations of resource objects. In some embodiments, a computer-implemented method, system, and/or computer-program product tangibly embodied in a non-transitory machine-readable storage medium for enhanced load processing using hierarchical data structures may be provided.

Abstract: Certain aspects and features of the present disclosure relate to systems and methods that generate machine-learning models to predict whether user devices are likely to meet defined objectives. For example, a machine-learning model can be generated to predict whether or not a user device is likely to access a resource. In some implementations, a semi-supervised model can be used to determine to what extent user devices are predicted to satisfy the defined objective(s). For example, a resource-affinity parameter can be generated as a result of inputting various data points into a semi-supervised model. The various data points can be access from a plurality of data sources, and can represent one or more activities or attributes associated with a user. The value of the resource-affinity parameter can be evaluated to determine the extent to which the user is likely to meet an objective.

Abstract: Systems and methods are provided for executing tasks selected based on locations of user devices. A first user device associated with an access right to a resource can be identified. The location of the first user device can be determined at a time before a defined time period. Further, a protocol execution condition can be detected. Upon detecting the protocol execution condition, executing a protocol. Executing the protocol can include determining a distance between the first user device and a resource location. Whether the distance between the first user device and the resource location is less than or equal to a distance range of the resource location at a time prior to the defined time period can be determined. In response to determining that the distance is not less than or equal to the distance range, accessing a plurality of tasks, selecting a task, and executing the task.

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: A system and method for reassignment of tickets in a live event via network communications for scheduling data transfers between systems. One or more data requesting systems may request access to particular data for one or more tickets to a venue for the live event causing a task to be performed to exchange the particular data between a data accessing system having access to the particular data and a data requesting system requesting access to the particular data. In some embodiments, the communication exchange may be initiated based on a parameter included in the request that the task be performed.

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: 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: Techniques are described for controlling data and resource access. For example, methods and systems can facilitate controlled token distribution across systems and token processing in a manner so as to limit access to and to protect data that includes access codes.

Abstract: Systems and methods for facilitating shared access-right evaluation using linked communication channels are provided. A first communication can be received over a first communication link from a first user device, and a second communication can be received over a second communication link from a second user device. The first and second communications can include requests for the assignment of access rights. Map data can be generated and transmitted to each of the first and second user devices. Each user device can display a visual representation of access-right data. Further, a communication session can be facilitated between the first user device and the second user device. The communication session can be presented on the visual representation for each user device so that the first user and the second user can collaboratively evaluate access rights.

Abstract: The present disclosure relates to systems and methods for communicating between devices using short-range communication links. More specifically, the present disclosure relates to systems and methods for communicating access-right data between devices for verification or transfer.

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: 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: Embodiments relate to processing a request from a user device for access rights for a resource. An access management system can send a request to query a (e.g., cached or authoritative) data store for available access rights. The query may include an exact-match or fuzzy query. A set of access-right results responsive to the query can be identified. The system may transmit a communication to the user device that identifies the set, or a subset thereof. Upon receiving a selection of a result, the system can facilitate assigning access rights corresponding to the identified result to the user. In some instances, a level of precision at which a characteristic of an access-right result is identified and/or whether or how access rights are held depends on a request load.