Abstract: At least some embodiments are directed to an entity classification system that receives informational data associated with an entity. The informational data includes sentences associated with the entity. The entity classification system utilizes a first machine learning model to determine a first contextual meaning among words of a sentence associated with the entity based on a first word embedding technique, and determines at least one category associated with the entity based at least in part on the first contextual meaning. The entity classification system utilizes a second machine learning model to determine a second contextual meaning shared by a set of sentences based on a second embedding technique, and determines a subcategory of the category associated with the entity based at least in part on the second contextual meaning. The entity classification system generates an output including the category and subcategory associated with the entity.

Abstract: A consumer may enroll in an event gamification system. An event listener may detect an event. The event gamification system may determine that the event qualifies for a game in which the consumer is enrolled. The event gamification system may transmit an achievement notification to the consumer as soon as the event occurs. The game may be displayed in a GUI on a consumer device. The consumer may be rewarded for completing the achievements in the game. Also, a server computer receiving a plurality of data sets that represent visually perceptible elements for a plurality of host web pages, wherein each of the plurality of host web pages displays an active link associated with a product on a merchant web page. The server automatically generating composite web page from: i) the particular data set associated with the particular host web page and the particular set of visually perceptible elements and ii) the related electronic content associated with the product from the merchant web page.

Abstract: Disclosed are various embodiments for securely conducting online in-application purchases. In one example, among others, a system comprises a computing device that is configured to identify a purchase request from a merchant application executed on the computing device and authenticate an account with a wallet provider based at least in part on a selection of the account. The computing device is configured to receive an instruction from the wallet provider to execute a security library and determine that the computing device is secure by executing a security library. The execution of the security library generates a device response for the wallet provider. A security code is determined data received from the wallet provider. A token is transmitted for the purchase request to the wallet provider based at least in part on the security code.

Abstract: Disclosed are various embodiments for using machine learning models to identify appropriate security patterns to follow during the application development process. A computing device can receive a request to identify a collection of security patterns to apply to an application and then identify a plurality of features associated with the application. Next, the computing device can submit the plurality of features to a random forest machine learning model and receive a first set of security patterns in response. Then, the computing device can submit the plurality of features to a k-nearest neighbor (KNN) machine learning model and receive a second set of security patterns in response. Then, the computing device can identify a subset of the security patterns that is included in both the first set of security patterns and the second set of security patterns and return the subset of the security patterns.

Abstract: Disclosed are various embodiments for authenticating a user using non-fungible tokens (NFTs). A trusted token issuer verifies a user's identity according to identifying credentials (e.g., government issued identification, passport, driver's license, etc.) presented by the user and creates a non-fungible token in response to verifying the credentials. The non-fungible token is associated with a user identifier and can be used by an access provider to authenticate a user requesting access to restricted content provided by the access provider. For example, when a client device associated with the user requests access from an access provider to an access-restricted website or other type of access-restricted area (e.g., building, concert venue, network, etc.), the access provider (e.g., website server, building computing device, venue system, etc.) uses the properties of the non-fungible token to verify one's identity and permit access upon verification.

Abstract: Disclosed are various embodiments for securely sharing confidential data between applications. A deep link request can be received from a first computing device, the deep link request identifying a set of data to be shared and a deep link schema. A token that represents the set of data can then be created. Also, a deep link that complies with the deep link schema and includes the token can also be created. The deep link and the token can then be returned to the first computing device. Later, a data request containing the token can be received from a second computing device. The set of data associated with the token can then be return to the second computing device.

Abstract: A computing device (e.g., a server, a cloud-based device, a network device, an item analysis device, etc.) may receive location information indicating a geographic location of a user device and image data captured by the user device of a listing (e.g., a menu, an event ticket, a content source, etc.) for a selectable item. The computing device may determine an entity offering the selectable item based on the location information. An intent indicator for the selectable item may be determined based on the entity and the information for the selectable item. An instruction to the user device may cause modification of the image data to indicate the intent indicator based on the intent indicator satisfying an intent threshold that defines a level at which an intent is classified as a positive intent.

Abstract: Disclosed are various embodiments for garbage collection for object-based storage systems. A first set of objects stored by an object storage service that have been accessed within a previously defined date range is identified. Then, a second set of objects stored by the object storage service is identified based at least in part on a relationship to one or more objects in the first set of objects. Next, a third set of objects stored by the object storage service that have been created prior to a predefined date is identified. Then, a subset of objects which are members of the third set of objects and not members of the first set of objects or the second set of objects is identified. Finally, a retention action is performed on individual members of the subset of objects based at least in part on a retention policy.

Abstract: Embodiments for intelligently matching a user to an agent for a communication session are disclosed. In one example, a system that comprises a computing device that is configured to initiate a first communication session with a first agent client device and generate interaction data associated with the user from the first communication session. A user segment classification is determined for a user account. A user request is received to initiate a second communication. The computing device identifies an agent account of a second agent to participate in the second data communication session. T second communication session is initiated between a client device and a second agent client device associated with the agent account.

Abstract: In various embodiments, a system, method, and computer readable medium of the present disclosure comprises authenticating, by a processor of a computing device, credential information of a user of the computing device; releasing, by a processor of the computing device and in response to authenticating the credential information, a first secret element to a secure element processor of the computing device; verifying, by the processor of the computing device from the secure element processor of the computing device, that the user is an authorized user of a first transaction account by comparing the first secret element with an issuer element associated with the first transaction account; and activating, by the processor of the computing device, the first transaction account for a transaction on the computing device.

Abstract: Disclosed are various embodiments for verifying the presentation of media represented by non-fungible tokens (NFTs). A presentation device can receive a smart contract address and a non-fungible token (NFT) identifier from a client device. The presentation device can then execute a function of a smart contract located at the smart contract address to obtain the owner address for the NFT, wherein the NFT identifier is provided as an argument to the function of the smart contract. Subsequently, the presentation device can validate the owner address for the NFT. Then, in response to validation of the owner address for the NFT, the presentation device can present the media file represented by the NFT.

Abstract: Disclosed herein are system, method, and computer program product embodiments for performing a task. For example, the method includes receiving a triggering event from a client device and generating a processing map. The processing map indicates a processing flow between a plurality of processing instances to execute the task associated with the triggering event. The plurality of processing instances belongs to a topography map specifying a network topography including the plurality of processing instances. For each of the plurality of the processing instances, the method further includes identifying the respective processing instance based on the topography map and outputting the processing map and data associated with the triggering event to the respective processing instance to execute the task.

Abstract: A system for automated information support processing is disclosed. The system may receive a natural language information support request from a plain text input channel. The system may determine a first user intent based on the information support request. The system may compare the first user intent with a set of support rules. The system may determine a dispositioned outcome based on the set of support rules and the user intent. The system may return the dispositioned outcome.

Abstract: A system for instant qualification cross channel offer targeting is disclosed. The system may receive a plurality of personally identifiable information (PII) elements from at least one of a customer device or an affiliate system. The system may determine a credit authorization state in response to the PII element. The system may receive a first request to generate an offer from at least one of the customer device or the affiliate system. The system may generate the offer in response to an offer optimization model, the credit authorization state, and the first request to generate an offer. The system may hash the plurality of PII elements and determine a unique hash based on the plurality of PII elements. The system may associate the unique hash to the offer and store the offer as offer data.

Abstract: Systems and methods for motion-enabled transactions are disclosed. The system may allow users to complete transactions with merchants via an air sign input. The system may receive a motion-enabled transaction request comprising an air sign input. The system may determine a stored air sign symbol based on the air sign input. The system may retrieve a merchant identifier, a transaction type, and a transaction cost based on the determined stored air sign symbol. The system may transmit a transaction confirmation comprising the merchant identifier, the transaction type, and the transaction cost. In response to the user confirming the transaction confirmation, the system may authorize and process the transaction.

Abstract: A consumer may enroll in an event gamification system. An event listener may detect an event. The event gamification system may determine that the event qualifies for a game in which the consumer is enrolled. The event gamification system may transmit an achievement notification to the consumer as soon as the event occurs. The game may be displayed in a GUI on a consumer device. The consumer may be rewarded for completing the achievements in the game. Also, a server computer receiving a plurality of data sets that represent visually perceptible elements for a plurality of host web pages, wherein each of the plurality of host web pages displays an active link associated with a product on a merchant web page. The server automatically generating composite web page from: i) the particular data set associated with the particular host web page and the particular set of visually perceptible elements and ii) the related electronic content associated with the product from the merchant web page.

Abstract: At least some embodiments are directed to a prediction system of software objects. The prediction system predicts a first aspect of a user profile utilizing a categorization machine learning model and a user activity profile, the user profile and the user activity profile are associated with a user. The user activity profile comprises a plurality of values associated with demographics and historical activity data of the user. The prediction system predicts a software object associated with the user profile utilizing an optimization machine learning model, the first aspect of the user profile, and a second aspect of the user profile. The software object is optimized with respect to at least one competitive interest between the user associated with the user profile and an entity associated with the software object. The prediction system outputs the software object to a client computing device of the user.

Abstract: Systems and methods for secure mobile checkouts are disclosed. The system may include a secure mobile checkout device configured to scan products available in a merchant store. The device may scan the product to determine a product identifier. The device may transmit the scanned product data to a checkout application to retrieve product data corresponding to the product identifier. In device may initiate a transaction with a payment network to purchase the product, based on the product data provided by the checkout application. The payment network may process the transaction, and may authorize the purchase with the merchant.