Abstract: Disclosed are methods and systems for targeted link sharing. For instance, a sharable link may be detected on a sharing user's computing device, and one or more users associated with the sharing user may be determined to be suitable to use the link. For each suitable user, an interaction history of the user, a code use behavior of the user, and information associated with the code are provided as inputs to a trained machine learning system to obtain, as output, a likelihood that the user uses the code. Each suitable user determined to have the output meet a predefined criterion may be included in a list of receiving users for display within a notification on the sharing user's computing device. The link may be distributed to a computing device of at least one receiving user selected from the list to share the link.

Abstract: Disclosed are methods and systems for prioritization and/or validity monitoring of shared links. For instance, a share request for a link associated with a site may be received from a sharing user computing device. The link and associated information, including a valid status, may be stored. An interaction with the site on a receiving user computing device may be detected, and the link may be determined to be valid based on the stored information. A notification including the stored link may be generated and displayed on the receiving user computing device to prompt code use. Interactions indicating code use may be monitored for, code use may be detected, and the status may be updated to invalid. If a plurality of links associated with the site have been received, the links may be prioritized for inclusion in the notification based on a determined priority among sharing users of the links.

Abstract: A computer-implemented method to enable self-service printing with authentication includes receiving, by a server, a print-request to print a document associated with an account, the print-request received from a computing device. The method further includes adding, by the server, a print job for the document in a print queue associated with the account. The method further includes receiving, by the server, a second request to initiate printing the document associated with the account, the second request received from a printer. The method further includes releasing, by the server, the print queue associated with the account to cause the printer to print the document, the releasing being responsive to the second request being authenticated.

Abstract: In some implementations, a compliance monitoring device may detect a trigger event associated with a compliance-based interaction. The compliance-based interaction may be associated with a secure location, a user device of a user, a sensor associated with a secure object, and one or more cameras. The compliance monitoring device may cause the one or more cameras to capture a set of images associated with the compliance-based interaction. The compliance monitoring device may receive the images and may extract image information from the set of images. The compliance monitoring device may receive positioning information associated with the user device and status information associated with the secure object. The compliance monitoring device may analyze at least one of the image information, the positioning information, or the status information to identify a compliance rule violation. The compliance monitoring device may provide an alert indication based on identifying the compliance rule violation.

Abstract: Disclosed embodiments can include a system for utilizing machine vision to verify dispatch of items. The disclosure provides a system having dispatch module comprising one or more processors and a memory storing instructions are configured to cause the dispatch module to perform a method. The method includes receiving a dispatch request for a first item. The method includes receiving, from a machine vision (MV) computing device, a first trigger of object recognition for the first item. The method includes initiating the first video comprising a process of packaging the first item. The method includes receiving a second trigger of label recognition associated with the first item. The method includes discontinuing the first video processing session. The method includes receiving a third trigger of label recognition associated with the first item. The method includes initiating a second video processing session to save a second video captured by the MV computing device.

Abstract: Disclosed embodiments may include a system for providing customized recommendations via data analysis. The system may receive transaction data associated with a user. The system may cause a user device associated with the user to display a notification prompting the user to provide image data. The system may receive the image data. The system may identify, from the image data via computer vision, first object(s). The system may generate, via an MLM, first item recommendation(s) based on the first object(s). The system may cause the user device to display, via the GUI, the first item recommendation(s). The system may receive type(s) of travel data. The system may generate, via the MLM, second item recommendation(s) based on the type(s) of travel data. The system may transmit, to a merchant system, a request to purchase at least one item at a predefined location based on the second item recommendation(s).

Abstract: In some aspects, a computing system may identify a feature that can be used to distinguish between data that is more likely to be representative of the target population. A computing system may identify a feature in a dataset where a first value of the feature is associated with a higher likelihood that a corresponding sample is not a member of the target population. Due to the differences between samples that have the first value and samples that have the second value, the computing system may determine that samples with the first value are less likely to be members of the target population or samples with the second value are more likely to be members of the target population. The computing system may determine that a training dataset should be generated using samples that have the second value.