Profile Information is aggregated from online websites and services to correlate discovered identities to one another via computational analysis of Intra-Personal Relationships, Inter-Personal Relationships, and Profile Data. The information, relationships and content of identities which have been determined to share Intra-Personal relationships are aggregated into Meta-Profiles; the Meta-Profiles are used in place of component Intra-Related identities to optimize computer functions such as social graph operations, content customization, and audience operations (including: analysis, metrics, profiling and targeting). The system processes identities and relationships belonging to individuals registered with the system and those belonging to unregistered users. The system is provided with data from users, via third-party systems, or through automated discovery. These innovations solve problems of online identity disambiguation specific to internet computing, and improve computer operations by optimizing memory footprint and operation calls to minimize the number of nodes and edges traversed.

A user may request a recommendation for an item from other users. Other users may respond to the request by recommending for or against items. Users may up-vote or down-vote the recommendations or responses of other users. The recommendations of the other users may be used to identify items and provide one or more recommendations to the requesting user. The original question and the responses may form a conversation thread. The recommendations may be inserted into the thread as responses, may be presented alongside the thread, or may be presented at the end of the thread. The recommendations may be based on one or more attributes of the user. The weight of the recommendations provided by other users may vary.

The present specification provides a multiplatform virtual retail store engine. The specification can have application to client devices with augmented or virtual reality hardware that interact with different platforms with metaverse capabilities. Rich experiences are provided on client hardware while making efficient use of available processing, memory and communication resources. Embodiments discuss the provision of a single retail store model which is dynamically adapted for generation across the plurality of different platforms according to the different metaverse capabilities. Embodiments also discuss include racking of the same user across different accounts on different metaverse platforms.

The present disclosure generally relates to using image data for enhanced user interactions. In some examples, an application's operation on a device is restricted based on whether an authorized user is identified as using the device based on captured image data.

A social media platform provides a map-based graphical user interface (GUI) for accessing social media content submitted for public accessibility via the social media platform supported by the map-based GUI. The GUI includes a map providing interactive location-based searching functionality in that selection of a target location by the user in the GUI, such as by tapping or clicking at the target location, triggers a search for social media content having geo-tag data indicating geographic locations within a geographical search area centered on the target location. A search period for which content is returned is dynamically variable based on the duration for which the tap or click is held.

The system and method combine programmatic control and a guided and constrained Artificial Intelligence (AI) engine for generating profiles for AI teachers within an online learning platform is disclosed. The programmatic control retrieves information associated with historical figures from a data store and parses user interaction data on the online learning platform to identify the engagement of each user with each historical figure. A content generation module prepares content for the AI teachers and generates a prompt and transfers the prompt to an AI engine to guide and constrain the AI engine to generate AI teacher profiles corresponding to the historical figures to utilize within the online learning platform by using the generated content and user interaction data. The AI teacher profiles are utilized to create social media accounts for the AI teachers and allow the user to interact with the AI teacher profiles on social media platforms.

Systems and methods for synchronizing event data structures in computer networks are disclosed. A system can receive, via a network from a first computing device corresponding to a first profile, a first network communication to generate a synchronized group identifying a second profile of a second computing device. The system can generate the synchronized group, and in response to receiving a second network communication from the second computing device, generate a data record including data record parameters specified in the second network communication. A data package to present a content item corresponding to the data record is generated in response to determining that the second profile is identified in the synchronized group, and a feed of the synchronized group is provided in response to corresponding network communications.

An approach is provided for a digital collectible platform. The platform or system includes a physical tag configured with a machine readable code associated with an object (e.g., a collectible object). The platform also includes a code reader configured to read the machine readable code from the physical tag to determine an object identifier associated with the object. The platform further includes a processor configured to compute a dynamic value metric based on attribute data records associated with the object identifier. The dynamic value metric is updated based on automatic monitoring of the attribute data to determine that a change to the attribute data has occurred. The platform also includes an application configured to present a user interface displaying a digital representation of the object comprising the dynamic value metric.

Systems and methods for managing media, such as digital content, using block chain technology are described. In some embodiments, the systems and methods perform multiple digital currency transfers between address nodes to register a collection of rights to a digital content item to a block chain, and perform a digital currency transfer transaction between address nodes to register the collection of rights to the block chain.

A computer-implement method and computer system may be configured to facilitate insurance claim processing and estate handling. An audible or visible chatbot avator or doppelgnger may lead a trustee, beneficiary, or family member through the estate of an impaired or deceased user. A computer system may have been provided with, or gather, sample voice and visual recordings associated with a user that are used to build the chatbot avatar that simulates the user audibly and/or visually. The computer system may have previously prompted the user for necessary items to properly handle their estate, such as information related to financial accounts, loans, insurance policies, etc. and user names and passwords to various electronic accounts.