Abstract: In an embodiment, a query system sends compact code to a database service for expansion of the compact code to partially-expanded code and expanded code. In an embodiment, a hash value is generated based on the partially-expanded code and indexed in memory with the expanded code. In an embodiment, a hash value is received as part of a command and expanded code is identified based on the hash value and sent to a database service.

Abstract: A computing system generates a default view of content items associated with a user account. The default view is representative of an underlying hierarchical structure of the content items associated with the user account. The computing system receives a request to transition from the default view to a modified view of the content items. The computing system ranks the content items based on a predicted likelihood of the user interacting with the particular content item. The computing system identifies the subset of content items for the modified view based on the ranking. The computing system generates the modified view based on the identified subset of the content items. The modified view maintains the underlying hierarchical structure of the content items associated with the user account. The computing system provides the modified view to the user associated with the user account for display.

Abstract: The disclosed embodiments include computerized methods, systems, and devices, including computer programs encoded on a computer storage medium, for generating terms of a search query based on a user's spoken utterances, identifying multiple cross-platform messages based on the generated terms, and to generating, via a presentation device, a single interface that enables the user to interact with identified messages. Based on a spoken utterance, the disclosed embodiments may determine user-specified search terms and/or criteria, and based on the user-specified search terms and/or criteria, may obtain cross-platform message data that corresponds to the search query. The communications device may generate one or more interface elements that describe corresponding ones of the cross-platform messages, which may be presented within a unified graphical user interface or voice-user interface by a communications device.

Abstract: A method for managing a full backup includes: generating a BBB of a file system, in which the BBB is a full backup of the file system and is generated using a snapshot of the file system; obtaining, using a MBB mechanism, modified file system metadata from the snapshot; obtaining second modified file system metadata from a second snapshot of the file system, in which the snapshot is generated at a first point in time and the second snapshot is generated at a second point in time; comparing the modified file system metadata and the second modified file system metadata to obtain a list of changed assets; initiating an incremental backup of the list of changed assets, in which the list of changed assets is backed up using a FBB mechanism; and generating a synthetic full backup by combining the full backup and the incremental backup.

Abstract: The present disclosure relates generally to systems, methods, and computer-readable media for selectively identifying candidate keywords for a target domain, generating keyword clusters based on the candidate keywords, and implementing the candidate keywords within published online content. In particular, systems disclosed herein generate or otherwise obtain access to a collection of keywords and value metrics descriptive of a profile of the keywords with respect to a target domain. The systems can selectively identify candidate keywords having unique value to a domain and generate keyword clusters including the keywords and associated terms. The systems described herein can further implement the keyword clusters within a structure of published content items that are linked or otherwise associated with the target domain.

Abstract: A storage device includes: a non-volatile memory including a first memory area and a second memory area, and a memory controller configured to receive a request from a first client device to upload a first multimedia file, generate a second multimedia file including a base layer and at least one enhancement layer by transcoding the first multimedia file from an original format to a scalable format, and control the non-volatile memory to store the second multimedia file in the non-volatile memory.

Abstract: Provided is an unbalanced sample data preprocessing method, which includes: a data acquisition request is received and initial data is acquired according to the data acquisition request, and the initial data is classified according to a preset classification rule to obtain first-class sample sets and second-class sample sets; characteristics of K first sample points extracted are analyzed to obtain a new data characteristic of the first-class sample sets; a new data label of the first-class sample sets is generated according to a first label corresponding to the first-class sample sets; a ratio between the number of first-class sample sets and the number of second-class sample sets is calculated; and new data of the first-class sample sets is generated according to the new data characteristic and the new data label, and the amount of new data is adjusted according to the ratio to increase the number of first-class sample sets.

Abstract: Embodiments of the present disclosure relate generally to systems for presenting content suggestions within a messaging interface. A content suggestion system performs operations that include: receiving inputs that include a text string into a messaging interface; parsing a keyword from the text string of the input in response to receiving the inputs; retrieving message content that includes at least a media item based on the keyword; and presenting a chat suggestion that includes the message content within the messaging interface, according to certain example embodiments.

Abstract: Systems and methods for document analysis using model intersections are disclosed. Predictive models are built and trained to predict whether a given document is in class with respect to a given model. Each predictive model may be associated with a subcategory of an identified technology. Documents that are determined to be in class by multiple ones of the predictive models may be identified and grouped into subsets. These subsets of documents may be identified as relevant to the technology in question.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for transformation for machine learning pre-processing. In some implementations, an instruction to create a model is obtained. A determination is made whether the instruction specifies a transform. In response to determining that the instruction specifies a transform, a determination is made as to whether the transform requires statistics on the training data. The training data is accessed. In response to determining that the transform requires statistics on the training data, transformed training data is generated from both the training data and the statistics. A model is generated with the transformed training data. A representation of the transform and the statistics is stored as metadata for the model.

Abstract: A computerized method is disclosed including operations of receiving a data stream, performing a changepoint detection resulting in a detection of changepoints in the data stream including: maintaining a listing of starting indices for each run within the data stream in a buffer of size L wherein each index of the listing has a run length probability representing a likelihood of being a changepoint, receiving a new data point within the data stream and adding a new index to the buffer resulting in the buffer having size L+1, calculating a posterior run length probability that the new data point is a changepoint, and removing an index from the listing that has a lowest run length probability thereby returning the buffer to size L, and responsive to determining the index removed from the listing does not correspond to the new data point, identifying a changepoint associated with the new data point.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for an approach to electronic data archival in a distributed data network. The system allows for replicating and transmitting data for archival purposes from a source to a destination using a machine learning algorithm. The machine learning algorithm selectively distributes only data which has changed within a database, and thus prevents the necessity of repetitively archiving an entire database. The system categorizes changed data based on the characteristics of the data, and thereafter distributes the data via a distributed data network.

Abstract: Techniques for managing erasure of data are presented. In response to receiving a request for erasure of data from a set of data stores, an erasure component can analyze a set of rules and information relating to the user account, including an account status and erasure hold status associated with the user account. The set of rules can be based on legal or contractual obligations applicable to the set of data stores, and can indicate various conditions under which data associated with a user account of a user can be eligible to be erased from the set of data stores or an associated data vault repository. The erasure component can determine eligibility for erasure of all or a portion of the set of data from the set of data stores based on the analysis results. Erasure component can determine erasure eligibility scores to pre-qualify user accounts for erasure eligibility.

Abstract: Techniques are disclosed relating to implementing synthetic identifiers (IDs) for a non-relational database. A server system may operate a database, which includes receiving requests to access records of the database using synthetic IDs. But the database may be searchable using natural IDs. The server system may receive a request to insert a record. In response, the server system may obtain, from a first instance of multiple ID generator instances that implement a distributed ID generator service, a synthetic ID generated based on an identifier assigned to the first ID generator instance. The server system may insert the record with the synthetic ID and a natural ID that corresponds to one or more values of the record. The server system may cause the synthetic ID and the natural ID to be stored in an index of the database to enable the record to be accessed via the synthetic ID.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for an approach to predictive structuring of electronic data. The system uses data mining and data clustering techniques using classification models to organize feature column groups comprising feature columns. The system identifies and flags feature column groups and/or feature columns based on regulatory data standards provided by regulatory bodies. Thereafter, data objects are imported into the system and prediction algorithms are implemented to characterize the feature columns containing the data objects.

Abstract: In certain embodiments, multi-modal-based generation of settlement instructions may be facilitated. In some embodiments, a portfolio of a live environment may be emulated in a projected environment. A target portfolio may be generated in the projected environment based on the emulated portfolio. Partial synchronization between the target portfolio of the projected environment and the portfolio of the live environment may be performed such that a first subset of changes to the portfolio of the live environment are reflected in the target portfolio of the projected environment. Subsequent to the partial synchronization, the target portfolio of the projected environment may be updated such that the update of the target portfolio accounts for the first subset of changes. Subsequent to the update of the target portfolio, settlement instructions may be generated based on differences between the target portfolio of the projected environment and the portfolio of the live environment.

Abstract: Disclosed herein is a process that involves retrieving a data model for a data source, establishing at least one filter operation or at least one clean operation that modifies an aspect of the retrieved data model, onboarding underlying data from the data source while applying the established at least one filter operation or at least one clean operation, defining at least one transformation operation to apply to a portion of the underlying data that has been onboarded, and applying the at least one transformation operation to the portion of the underlying data to thereby assign the data to a semantic network, the semantic network comprising conceptual data components and associative data components.

Abstract: End-to-end encryption in a storage system with multi-tenancy, includes: performing deduplication on a first tenant dataset, the first tenant dataset including data encrypted using a first storage system encryption key; and performing deduplication on a second tenant dataset, the second tenant dataset including data encrypted using a second storage system encryption key, where deduplication is not performed between the first and second tenant datasets.

Abstract: The present embodiments may relate to secondary systems that verify potential fraud or the absence thereof. Artificial intelligence and/or chatbots may be employed to verify veracity of statements used in connection with insurance or loan applications, and/or insurance claims. For instance, a veracity analyzer (VA) computing device includes a processor in communication with a memory device, and may be configured to: (1) generate at least one model by analyzing a plurality of historical statements to identify a plurality of reference indicators correlating to inaccuracy of a historical statement; (2) receive a data stream corresponding to a current statement; (3) parse the data stream using the at least one model to identify at least one candidate indicator included in the current statement matching at least one of the plurality of reference indicators; and/or (4) flag, in response to identifying the at least one candidate indicator, the current statement as potentially false.

Abstract: A method, a computer system, and a computer program product for data validation in a microservice environment is provided. Embodiments of the present invention may include receiving a request based on an application configuration validation. Embodiments of the present invention may include determining a schema is not defined based on the request. Embodiments of the present invention may include generating the schema using machine learning. Embodiments of the present invention may include using the generated schema for a plurality of validations.