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: An object data store may generate metadata responsive to a request that causes a scan of a data object for subsequent use in performing queries to the data object. A request may be received that causes a scan operation of the data object. As part of performing the scan one or multiple types of metadata describing the data object may be generated. The generated metadata may be applied to access the data object and perform a subsequently received query to the data object at the object data store.

Abstract: An enterprise data processing module and method are described herein. The enterprise data processing module comprises at least one collector and at least one analyzer. The collectors may be operable to collect data pieces from a plurality of data sources. The analyzers may be operable to analyze the collected data pieces to determine cross-source relationships that exist between the data pieces collected from the plurality of sources. The analyzed data pieces may be stored in one or more big-data databases as blocks of data according to the cross-source relationships.

Abstract: A retrieval apparatus, a method, and a storage medium are disclosed. The retrieval apparatus includes a memory and a processor, wherein the processor is configured to acquire a retrieval request, and the retrieval request includes the query vector; according to the query vector, generate and execute a first access request corresponding to the first memory according to the first graph index and the index node in the candidate pool; determine and process the data acquired by the first access request corresponding to the first memory, corresponding to the absence of redundant data in the previous storage pool, and store the result in the result pool; and output the data in the result pool corresponding to the candidate pool does not include unreachable index nodes. The retrieval apparatus improves the efficiency of the data reading process and further improves the efficiency of the retrieval process.

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: Technologies are provided for database modification using a script component. In some embodiments, a method comprises executing, by a computing system comprising at least one processor, a script component comprising one or more functions to transform a database. The method also includes modifying, by the computing system, the database based on at least one transformation defined by the one or more functions in response to executing the script component.

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: Systems, methods and products for synchronization of content and metadata where the content and metadata are shared from a source repository to a target repository. One embodiment of a repository connector system utilizes a monolithic robotic server for scheduled synchronization and a second monolithic manual server for processing manual synchronization requests. A metadata server in the connector system enables sharing and synchronization of mapped metadata between content objects in the source and target repositories. A notification server is provided in the connector system to track notifications of changes to shared content in the target repository, and to replicate these notifications in a local database that is accessible by the synchronization servers to identify changes to the content in the second repository. Each of the servers is coupled to a service registry in the connector system to enable discovery and interaction between the connector system components.

Abstract: Techniques are provided for utilizing a log to free pages from persistent memory. A log is maintained to comprise a list of page block numbers of pages within persistent memory of a node to free. A page block number, of a page, within the log is identified for processing. A reference count, corresponding to a number of references to the page block number, is identified. In response to the reference count being greater than 1, the reference count is decremented and the page block number is removed from the log. In response to the reference count being 1, the page is freed from the persistent memory and the page block number is removed from the log.

Abstract: Systems and methods for improved data conversion and distribution are provided. A data subscription unit is configured to receive data and information from a plurality of data source devices. The data subscription unit is in communication with a virtual machine that includes backtesting utility configured to generate backtesting data using one or more statistical models and one or more non-statistical models. The backtesting utility may translate the backtesting results into one or more interactive visuals, and generate a graphical user interface (GUI) for displaying the backtesting results and the one or more interactive visuals on a user device. The backtesting utility may update one or more of the displayed backtesting results and the one or more interactive visuals without re-running the modeling steps.

Abstract: A query that includes one or more variables is received. The one or more variables correspond to one or more interactive elements. A large language model is utilized to generate a query response that associates one or more variables included in the query to the one or more interactive elements. A script is generated utilizing the query response that associates the one or more variables included in the query to the one or more interactive elements.

Abstract: Techniques are provided for on-demand creation and/or utilization of containers and/or serverless threads for hosting data connector components. The data connector components can be used to perform integrity checking, anomaly detection, and file system metadata analysis associated with objects stored within an object store. The data connector components may be configured to execute machine learning functionality to perform operations and tasks. The data connector components can perform full scans or incremental scans. The data connector components may be stateless, and thus may be offlined, upgraded, onlined, and/or have tasks transferred between data connector components. Results of operations performed by the data connector components upon base objects may be stored within sibling objects.

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 list updating method and a list updating apparatus are provided. The method includes: receiving a list updating request sent from a client, where the list updating request includes list updating data for updating a list determining a target list corresponding to the list updating request according to the list updating data and a list configuration file, where the list configuration file includes configuration information of all configured lists; and updating the target list according to the list updating data.

Abstract: A method and an apparatus for training a search recommendation model, and a method and an apparatus for sorting search results are provided. The training method includes: obtaining a training sample set including a sample user behavior group sequence and a masked sample user behavior group sequence; and using the training sample set as input data, and training a search recommendation model, to obtain a trained search recommendation model, where a target of the training is to obtain the object of the response operation of the sample user after the mask processing, the search recommendation model is used to predict a label of a candidate recommendation object in search results corresponding to a query field when a target user inputs the query field, and the label is used to indicate a probability that the target user performs a response operation on the candidate recommendation object.

Abstract: A method includes determining that an application is a consumer of one or more records of an event streaming platform. In response to the application being a consumer of the one or more records, a schema that is associated with the one or more records of the event streaming platform can be determined. The schema can define the data structure of each of the one or more records. The method further includes generating a class that structurally conforms to the schema. During runtime, the object that is instantiated from the class may be used by the application to consume the one or more records.

Abstract: Disclosed are a method and device for calculating a correlation between notes using a database constructed on a basis of artificial intelligence, and supporting a service for the notes on a basis of the calculated correlation. A method by which a note providing device that interworks with a user terminal provides notes, includes: constructing a keyword DB by extracting a keyword from a note generated through the user terminal and reflecting a weight calculated through machine learning using the extracted keyword; and calculating a correlation score for each of a plurality of target notes correlated with a reference note using the keyword DB. Therefore, the method and device for providing the notes using the artificial intelligence-based correlation calculation can more accurately recommend the correlated notes by reflecting the interaction of the user.

Abstract: A spatial search may be performed using representations of geometric shapes stored in a key-value store. A request to perform a spatial search may be received, the request including a geometric shape composed of one or more points. The points of the geometrical shape may be translated into one or more spatial indexes representing spatial cells using a space-filling curve. A key-value store may then be incrementally searched for each spatial index to identify spatial cells intersecting the geometric shape for which other known geometric shapes exist. The key-value store may then be searched to identify the known geometric shapes intersecting the geometric shape included in the search.

Abstract: A database system uses a hash table for processing database queries. The system stores keys mapped to data values in the hash table. For processing a set of records using the hash table, the system partially sorts the records to match the order of keys of the hash table. The partial storing of the records results in improving the performance of a cache storing the hash table. The hash table may be a multimap that maps a key to multiple data values. The system stores data values mapped to a key in a vector that stores all data values mapped to the key in contiguous memory. The system stores a pointer to the vector in association with the key in the multimap. The system optimizes the multimap to store the data value instead of the pointer if there is a single data value associated with a key.

Abstract: A method and one or more non-transitory storage media are provided to train and implement a one-hot encoder. During a training phase, computation of an encoder state is performed by executing a set of relational statements to extract unique categories in a first training data set, associate each unique category with a unique index, and generate a one-hot encoding for each unique category. The set of relational statements are executed by a query optimization engine. Execution of the set of relational statements is postponed until a result of each relational statement is needed, and the query optimization engine implements one or more optimizations when executing the set of relational statements. During an encoding phase, a set of categorical features in a second training data set are encoded based on the encoder state to form a set of encoded categorical features.