Abstract: Exemplary embodiments of the present disclosure provide a method, apparatus, and computer-readable medium for identifying. An exemplary method includes providing a plurality of identifiers from a plurality of data sources, the plurality of identifiers corresponding to a plurality of entities, and creating a plurality of tuples based on the plurality of identifiers, wherein each one of the plurality of tuples corresponds (i) a particular one of the plurality of data sources and (ii) to at least two identifiers that are linked together. The method further includes receiving an identifier, and determining whether the received identifier matches any of the plurality of tuples.

Abstract: A system includes a distributed saga log, a first service, a second service, a first saga execution coordinator (SEC) instance collocated to the first service, and a second SEC instance collocated to the second service. The first SEC instance is configured to manage a transaction for the first service, access the distributed saga log, perform a task identified in the distributed saga log, and document actions initiated by the first SEC instance in the distributed saga log. The distributed saga log is accessible to the first SEC instance and the second SEC instance. Additionally, the distributed saga log is configured to maintain saga processing information associated with the actions initiated by the first SEC instance and the actions initiated by the second SEC instance.

Abstract: A destination node receives metadata for a file, via replication, from a source node. If a legacy location in the metadata for the file does not include any new value for a legacy location in local metadata for the file, then the destination node stores the metadata to a local data structure. If the legacy location in the metadata includes any new value for the legacy location in the local metadata, and the new value is any new grouping tag, then the destination node extracts the new grouping tag from the legacy location in the metadata. The destination node constructs a key based on the legacy location in the metadata and uses the constructed key to search for an alternative location in the metadata for the file, for the new grouping tag. The destination node stores the new grouping tag in the alternative location in the metadata.

Abstract: Example implementations include determining, based on participant objects input into a machine learning model, to transmit a query to a third-party application based on a machine learning model trained with historical data associated with opportunities provided by third-party applications, transmitting to a third-party application, the query constructed based on a template compatible with an application programming interface (“API”) of the third-party application, receiving a response from the third-party application including an event and a profile for a participant of a service provided by the third-party application, the profile linked with a participant object and generated in response to importing information associated with the profile from a third-party administrator device, the event indicative of an opportunity to reduce resource utilization, determining that the participant object satisfies a parameter of the event, and providing to a computing device of the participant object responsive to satisfac

Abstract: Network site users can be selected to receive a communication based on a network site event, such as incomplete registration. A hybrid user interaction machine learning scheme can select a portion of the selected users based on user interaction estimates and network sampling data. The electronic document sent to the users can have portions that undergo two-pass ranking for ordering of content items to be included in the electronic document, such as an email.

Abstract: Aspects of the disclosure relate to an intelligent failsafe engine. A computing platform may determine that a backup should be initiated that corresponds to a determined time window. The computing platform may select either a full backup method or a differential backup method. The computing platform may initiate the selected backup method, which may include backing up only blocks that have been modified since a previous backup. The computing platform may identify that the backup has paused at a particular data block. The computing platform may identify that the backup may be resumed, and may resume the backup at the particular data block. The computing platform may send data health information and commands directing a user device to display the data health information, which may cause the user device to display the data health information.

Abstract: Embodiments described herein provide systems and methods to streamline the mechanism by which data users access differently regulated data through the use of one or more integrated identifiers. The integrated identifiers lessen or eliminate the need to separately maintain one set of identifiers for regulated data and another set for non-regulated data. The methods and systems may be applicable in various credit and healthcare contexts where regulations over data use are prevalent. In one or more embodiments, a data user receives a unique integrated identifier for each of the data user's current or prospective customers, and the integrated identifiers can be used to persistently identify and track the customers over time and across applications that access regulated and/or non-regulated data. In the healthcare context, a healthcare provider may utilize a patient ID as the integrated identifier. To protect privacy, the integrated identifier may not include social security numbers or birthdates.

Abstract: Disclosed herein are techniques related to automated generation of regular expressions. In some embodiments, a regular expression generator may receive input data comprising one or more character sequences. The regular expression generator may convert character sequences into a sets of regular expression codes and/or span data structures. The regular expression generator may identify a longest common subsequence shared by the sets of regular expression codes and/or spans, and may generate a regular expression based upon the longest common subsequence.

Abstract: A computerized method, system for, and computer-readable medium operable to: retrieve program details data about at least one media program. Retrieve social media posts involving the at least one media program. Match the retrieved program details data with the retrieved social media posts to find matching locations. Store time offset data corresponding to the matched locations within the at least one media program into at least one micropost. Rank the at least one media program by the number of microposts corresponding to the at least one media program. Present the at least one media program, each of the at least one media program with at least one micropost, wherein the at least one micropost comprises a link to the original social media page hosting the social media post and a video deeplink that plays a time off-set video, the time off-set video starting from the stored time offset data.

Abstract: A data sorting method, apparatus and device, a storage medium, and a program product. The method includes: obtaining a data sorting and updating request, where the data sorting and updating request includes data to be updated and an update type; determining a current cursor node, according to the data sorting and updating request, from a circular doubly linked list corresponding to a binary heap storing original data and according to pointing of the current cursor node pointer; determining a node to be updated corresponding to the data to be updated in the binary heap according to the update type and the current cursor node; and performing updating and sorting operations on the original data according to the node to be updated and the data to be updated.

Abstract: Aspects related to a resource-constrained system are described herein that can provide object storage services after a service interruption is resolved, even if all of the transactions that were pending and incomplete prior to the service interruption have not yet been recovered and/or executed. For example, file systems implemented by computing systems of the resource-constrained system may treat each file or directory as a separate object. Thus, a transaction directed to one file may not affect the file's directory or other files in the directory. As a result, the resource-constrained system can achieve read-after-write consistency without first recovering and executing the pending, incomplete transactions. Instead, read-after-write consistency for an object can be achieved simply by completing any pending, incomplete transaction directed to that object.

Abstract: Techniques and apparatus for performing integrity verification for data stored on computing systems are described. One technique involves receiving a request to retrieve data from a first data repository. One or more parameters of the request are determined. The data is obtained from the first repository, based on the parameters. Verification information for the data is obtained from a second data repository, based on the parameters. A determination is made as to whether the data obtained from the first data repository has been modified. A message is sent that indicates whether the data obtained from the first data repository has been modified.

Abstract: A user preference hierarchy is determined from user response to images. Images may be tagged using machine learning models trained to determine values for images. Products are clustered according to product vectors. Images of products within a cluster are clustered according to composition and groups of images are selected from image clusters for soliciting feedback regarding user preference for products of a cluster. Feedback is used to train a user preference model to estimate affinity for a product vector. A user may provide feedback regarding a price point and products are weighted according to a distribution about the price point. The distribution may be asymmetrical according to direction of movement of the price point. Filters may be dynamically defined and presented to a user based on popularity and frequency of occurrence of attribute-value pairs of search results and based on feedback regarding the search results.

Abstract: Systems and methods for intelligently pre-fetching data for input controls are disclosed. In particular, the disclosed systems and methods predict whether an input control is likely to be edited and only pre-fetches data for the input controls that have a high likelihood of being edited. This way, the presently disclosed systems and methods not only reduce latency in displaying recommended data results for input controls that are likely to be edited but also reduces the number of calls made to the backend server to retrieve the data as the data is not retrieved for all rendered input controls, but only the ones that are likely to be edited.

Abstract: Generating a composite screenshot including contextually relevant screenshots and displayed information. The composite screenshot includes one or more screenshots captured from a display screen of a requesting user. Contextual relevance is determined according to collected user communications data such as IoT interactions, social media posts, and chat session transcripts.

Abstract: A computer-implemented method according to one embodiment includes in response to identifying a match between a file and at least one policy, updating details of a container in an object namespace of a file system, where the object namespace of the file system stores object-based representations of files within the file system; creating a symbolic link to the file in the object namespace of the file system; and updating a database to identify the symbolic link and the details of the container.

Abstract: A method, computer program product, and computer system for organizing a plurality of log records into a plurality of buckets, wherein each bucket is associated with a range of a plurality of ranges within a backing store. A bucket of the plurality of buckets from which a portion of the log records of the plurality of log records are to be flushed may be selected. The portion of the log records may be organized into parallel flush jobs. The portion of the log records may be flushed to the backing store in parallel.

Abstract: Described is a system (and method) for leveraging data previously transferred to a cloud-based object storage as part of a failed backup when performing a subsequent backup operation. The system may leverage the native configuration of an object storage that may retain certain data even when a backup operation is classified as a failed operation. To provide such capabilities, the system may store specialized metadata that tracks which backups have failed and metadata indicating which backup data has not been committed. Accordingly, upon a subsequent backup operation, the system may expediently refer to the stored metadata to identify retained backup data that may be reused for the subsequent backup. As a result, the system may improve the efficiency of a backup procedure by reducing the amount of data required to be transferred from the backup source.

Abstract: Described is a system for managing the expiration of objects storing incremental backup data by leveraging specialized metadata. The system may provide a layer of intelligence when freeing up storage space on an object storage to ensure that a full recovery of client backup data may be performed when storing incremental backup data. The system may maintain metadata indicating the latest and/or earliest backups that reference particular objects. The system may then leverage this information to mark particular objects for removal (e.g. deletion or re-tiering). For example, the system may access the metadata to identify which objects stored by a previous (e.g. expired) backup are still referenced by a subsequent (e.g. non-expired) backup. As a result, the system may ensure that objects are not removed prematurely and that a full recovery of the client data to a point-in-time of any incremental backup may be performed.

Abstract: An information management system can detect instances in which data is being stored in a non-standard file path and can alert the user of the client computing device, modify the storage policy to include the non-standard file path, and/or initiate a secondary copy operation to prevent data loss of the data stored in the non-standard file path. For example, a client computing device may execute a filter driver that monitors interactions with files in the file system. The filter driver can identify any non-standard file paths not subject to a storage policy that include files in which interactions occurred. For a non-standard file path, the filter driver can determine whether the frequency of interaction with files in the non-standard file path satisfies a threshold frequency. If the threshold is satisfied, then the filter driver may determine that the files should be subject to the storage policy and take appropriate action.