Abstract: In some implementations, a transaction card may include a card body and a plurality of magnetic stripe segments disposed on the card body. The plurality of magnetic stripe segments may be non-contiguous with each other. The plurality of magnetic stripe segments may define a tactile pattern that indicates an attribute of the transaction card.

Abstract: In some implementations, a transaction card may include a card body, a magnetic stripe connected to the card body at a magnetic stripe region of the card body, and a tactile element at the magnetic stripe region of the card body.

Abstract: Example embodiments of systems, methods, and computer-accessible mediums for transaction authorization are provided. An exemplary system can comprise a card including an input device and a display device in data communication with a server. The server can generate an authorization passcode upon an initiation of a transaction session, and the card can receive an entered passcode through the input device, display the entered passcode on the display device, and transmit the entered passcode to the server for comparison to the authorization passcode. Upon a determination that the entered passcode is a match for the authorization passcode, the server can transmit a match notification indicating the transaction session is valid, and upon a determination that the entered passcode is a mismatch for the authorization passcode, the server can transmit a mismatch notification terminating the transaction session.

Abstract: Disclosed herein are systems and methods for providing contextualized reviews. A customer can make a review, such as reviewing a product or a business, outlining their experience. To provide additional emotional context, biometric data can be obtained and compared to the customer's historical biometric data. Upon determining that the biometric data has deviated from the historical biometric data, the review data from the review can be revised to include a notification. The customer can also be alerted and warned to not post the review if their emotional state is found to be negative. The process can be repeated on a plurality of customers opted-in to the contextualized review system. For the plurality of customers, a plurality of reviews can be analyzed for a business or service provider by, for instance, emphasizing emotional reviews, ranking the reviews, or filtering out non-emotional reviews.

Abstract: Methods and systems are disclosed herein for secure communication between computing devices. A mobile device may communicate with an untrusted device to cause the untrusted device to send information (e.g., encrypted information that the untrusted device is unable to decrypt) to a server using an Internet connection of the untrusted device. The mobile device may have limited or no access to the Internet. To prevent potential security risks associated with using a public or untrusted device, the mobile device may encrypt information stored on the mobile device (e.g., stored in a mobile application associated with the server), send it to the untrusted device (e.g., by displaying a QR code to a camera of the untrusted device), and the untrusted device may send the information to the server via a network connection of the untrusted device.

Abstract: Provided are approaches for concealing or obscuring transaction card numbers. In some approaches, a transaction card may include a body comprising a first main side opposite a second main side, and a plurality of structures extending from at least one of the first or second main sides. In a bent configuration of the body, the plurality of structures separate from one another, in a substantially flat configuration of the body, adjacent structures of the plurality of structures abut one another.

Abstract: A machine learning model supported trend detection engine can be available via an application programming interface to business or community planners to evaluate the potential for new plans or ventures. The model can be based upon transaction trends and available merchant data from transactions such as location, time, merchant type, and transactions history longevity from particular retailers. The model can generate a dashboard that shows past performance, predicted future performance, trends, similarity between businesses, and profitability. The new plan or venture can be correlated with other retailers that have been established and successful under a similar model and located near another retailer similar to the new plan or venture.

Abstract: Systems and methods of the present disclosure enable database search. The systems and/or methods may include receiving a search query that includes an input document having text. Word embeddings are generated within the input document, where the word embeddings include vector representations of words in the text of the input document. An average input document word embedding vector is determined for the word embeddings of the input document. A set of stored documents is accessed, where each stored document includes a stored text has a particular average stored document word embedding vector. A similarity model is used to determine a similarity metric measuring the similarity between the input document and each stored document based on the average input document word embedding vector and the particular average stored document word embedding vector of each stored document.

Abstract: The present invention relates to an artificial intelligence method and system for event predication, comprising: receiving, user messages, user activity data, event data, user identification information and transaction data; scraping webpages for additional event data; applying a natural language processing module to process the event data; constructing a training data set using the processed event data; constructing user preferences from the user messages, the user activity data, the user identification information and the transaction data; training a predictive model using the training data set to determine at least one upcoming event predictions determining to display the at least one event predictions based on the user profile; if it is determined to display one of the at least one event predictions, generating a graphical user interface display with a calendar depicting the at least one event prediction; and presenting the graphical user interface display to the user.

Abstract: In some implementations, a credit decision platform may receive a credit request from an applicant and obtain domestic historical data associated with the applicant from a credit bureau device. The credit decision platform may obtain access to an email account associated with the applicant based on determining that the domestic historical data associated with the applicant is insufficient to process the credit request. The credit decision platform may identify, using one or more machine learning models, a set of email messages included in the email account that are relevant to the credit request and may analyze content included in the set of email messages to generate non-domestic historical data associated with the applicant. The credit decision platform may generate a decision on the credit request based on an estimated creditworthiness of the applicant, which may be determined based on the non-domestic historical data.

Abstract: Methods and systems for estimating a vehicle status using interaction data are disclosed. An exemplary method can include obtaining, via at least one processor, information associated with a vehicle; obtaining, via the at least one processor, a set of interaction data of an individual associated with the vehicle; and accessing, via the at least one processor and on a memory, a framework indicative of an association between interaction data and vehicles status. An exemplary method may further include generating, via the at least one processor and by applying the framework to the set of interaction data and the information associated with the vehicle, an estimate of the vehicle status; generating, via the at least one processor and based on the estimate of the vehicle status, at least one evaluation for the vehicle; and outputting the at least one evaluation.

Abstract: A method and system include identifying, by a processor, departing flight information that designates departure airports and departure times in payment card transaction data of a plurality of users. Airport-specific data for a departure airport before a departure time of a departing flight of a user from the plurality of users is received. The airport-specific data is inputted into a machine learning model that outputs a user-specific airport processing time for the user to reach a departure gate upon arriving to the departure airport. A travel time from a geographical location of the computing device of the user to the departure airport is received from a navigation system. The computing device displays a time for the user to start travel to the departure airport based on the user-specific airport processing time and the travel time to the departure airport for the user to reach the departure gate by the departure time.

Abstract: Provided are approaches for concealing or obscuring transaction card numbers. In some approaches, a transaction card may include a body comprising a first main side opposite a second main side, and a plurality of structures extending from at least one of the first or second main sides. In a bent configuration of the body, the plurality of structures separate from one another, in a substantially flat configuration of the body, adjacent structures of the plurality of structures abut one another.

Abstract: A method includes determining a first state of a simulation being run by a system and sending first data indicative of the first state of the simulation to a first computing device. The method further includes receiving, after the first data is sent, second data from the first computing device. The second data includes at least one first instruction configured to cause a first move associated with the simulation and is formatted according to a specification. The method further includes determining a second state of the simulation based on the second data received from the first computing device and sending third data indicative of the second state of the simulation to a second computing device. The method further includes receiving, after sending the third data, fourth data from the second computing device. The fourth data includes at least one second instruction configured to cause a second move.

Abstract: In some implementations, a credit decision platform may receive a credit request from an applicant and obtain domestic historical data associated with the applicant from a credit bureau device. The credit decision platform may obtain access to an email account associated with the applicant based on determining that the domestic historical data associated with the applicant is insufficient to process the credit request. The credit decision platform may identify, using one or more machine learning models, a set of email messages included in the email account that are relevant to the credit request and may analyze content included in the set of email messages to generate non-domestic historical data associated with the applicant. The credit decision platform may generate a decision on the credit request based on an estimated creditworthiness of the applicant, which may be determined based on the non-domestic historical data.

Abstract: Methods and systems disclosed herein describe customizing searching. Search queries may be customized according to a user's preferences. A user may emphasize or indicate that additional weight should be given to one or more terms in a search query. Terms that are weighted higher may have a larger impact on the results that are returned in response to the search query. In addition to changing the terms in a search query, a user may provide a weight for each term. Each term in a search query may be weighted to varying degrees, giving a user more control over the results that are returned. The weights may be used with machine learning techniques to generate a vector representation of a search query. The vector representation of the search query may be compared with vector representations of search objects to determine results that match the search query.

Abstract: Disclosed are methods and systems for determining similarity of online items. For instance, an identifier of a first web page associated with a first item navigated to by a browser may be received from a browser extension application executing on a computing device. Image(s) and text may be extracted from the first web page and provided as input to a machine learning model along with image(s) and text extracted from a second web page of a plurality of web pages associated with a second item of a plurality of items that are stored in a data store. A probability at/above a predefined threshold that the first and second items are the same item may be received as output. A notification indicating identification of the second item as the same item and including information associated with the second item may be generated and provided to the browser extension application for display.

Abstract: Disclosed embodiments pertain to a payment card with an integrated door. A top layer can be affixed to a bottom semirigid layer. The top layer can include a first portion attached to the front face of the bottom layer and a second portion, or door, coupled to the first portion in a manner that allows the second portion to rotate to and from an open position and closed position. The bottom layer can include a cardholder name, account number, expiration date, and security code hidden from view when the door is in the closed position. A fastener can also be added to secure the door in an open position, closed position, or both. In one embodiment, the payment card can include an antenna for contactless transactions, and the door's position can control the antenna's availability for wireless communication.

Abstract: Systems and methods of the present disclosure enable database search. The systems and/or methods may include receiving a search query that includes an input document having text. Word embeddings are generated within the input document, where the word embeddings include vector representations of words in the text of the input document. An average input document word embedding vector is determined for the word embeddings of the input document. A set of stored documents is accessed, where each stored document includes a stored text has a particular average stored document word embedding vector. A similarity model is used to determine a similarity metric measuring the similarity between the input document and each stored document based on the average input document word embedding vector and the particular average stored document word embedding vector of each stored document.

Abstract: Disclosed embodiments pertain to a payment card with an integrated door. A top layer can be affixed to a bottom semirigid layer. The top layer can include a first portion attached to the front face of the bottom layer and a second portion, or door, coupled to the first portion in a manner that allows the second portion to rotate to and from an open position and closed position. The bottom layer can include a cardholder name, account number, expiration date, and security code hidden from view when the door is in the closed position. A fastener can also be added to secure the door in an open position, closed position, or both. In one embodiment, the payment card can include an antenna for contactless transactions, and the door's position can control the antenna's availability for wireless communication.