Abstract: A search apparatus includes: an array index storage in which an array index having attribute position information for specifying a position at which an attribute value is located is stored for each of one or more records out of records and for each of one or more attributes of each record; a condition accepting unit that accepts a search condition including an attribute identifier corresponding to an attribute value; a search unit that retrieves attribute position information corresponding to the attribute identifier included in the search condition, from the array index, and retrieves an attribute value corresponding to the attribute identifier included in the search condition, using the attribute position information, from a data source storage in which a data source including two or more records having two or more attribute values is stored; and a result output unit that outputs a search result including the attribute value.

Abstract: A system receives a query from a user specifying a geographic location at which the user wishes to obtain data relating to travel experiences. The system obtains a first score associated with a first travel experience and a second score associated with a second travel experience, the first score being different than the second. A score is based on at least one quality indicator of the experience. The system defines a plurality of differently-located virtual boundaries around the travel location, each successive boundary indicating an area located at a greater distance from the travel location. The system then displays to the user a list of experiences, wherein the experiences are rank-ordered before presentation to the user. The rank ordering of experiences is dependent on both the virtual boundary into which the experience falls and the score associated with the experience.

Abstract: Various methods, apparatuses/systems, and media for data migration readiness of a target data source are disclosed. A processor hosts an application on a cloud server; receives data corresponding to the application from a plurality of types of data sources; defines expressions to be applied to the data for parsing and transforming the data dynamically on the cloud server; validates the defined expressions based on a determination that each defined expression meets a predefined threshold value; generates a lookup data file in a predefined file format in response to validating the defined expressions; parses the lookup data file; dynamically transforms the data based on the parsed lookup data file and applying the validated expressions; and generates an output file in the predefined file format for consumption after transforming the data.

Abstract: An online concierge system maintains various items and an item embedding for each item. When the online concierge system receives a query for retrieving one or more items, the online concierge system generates an embedding for the query. The online concierge system trains a machine-learned model to determine a measure of relevance of an embedding for a query to item embeddings by generating training data of examples including queries and items with which users performed a specific interaction. The online concierge system generates a subset of the training data including examples satisfying one or more criteria and further trains the machine-learned model by application to the examples of the subset of the training data and stores parameters resulting from the further training as parameters of the machine-learned model.

Abstract: Various methods, apparatuses, and media for implementing a customizable rules engine module are provided. A database stores data related to skill set of each user and data related to availability information of each user. A receiver receives data associated with each of a plurality of work items. A processor dynamically allocates, from the received data, both a score value to assign a priority to each work item and a bit-mapped skill value for each work item regardless of the source system from which each work item is being received or work type of each work item. The processor queries the database to identify a user having availability data and associated skill set data that matches with the score value and the bit-mapped skill value for each work item and automatically assigns the work item to the user.

Abstract: Described technologies generate a data structure corresponding to values sequenced based on a plurality of timestamps associated with the values. The data structure can include a first section identifying a first timestamp associated with the plurality of timestamps and a number representing how many timestamps are associated with the plurality of timestamps, and a second section including at least a value linked to the first timestamp, and an additional value representing an encoding type associated with the second section. The data structure can be stored in computer-implemented storage.

Abstract: In general, embodiments of the technology relate to a method and system for implementing a dynamic content type (DCT) in a content management system. More specifically, embodiments of the technology relate to using a DCT in order to change and/or extend the functionality of the content management system.

Abstract: Embodiments of the present disclosure provide an artificial intelligence (AD-based recommendation method and apparatus, an electronic device, and a computer-readable storage medium. The method includes obtaining a plurality of pieces of candidate recommendation information corresponding to a to-be-recommended object and forming a fusion feature corresponding to each of the plurality of pieces of candidate recommendation information. Then, the method includes performing multi-level mapping processing on the fusion feature to obtain scores corresponding to a plurality of indicators of each of the plurality of pieces of candidate recommendation information. The method may also include performing multi-indicator aggregation processing on the scores to obtain comprehensive scores and sorting the plurality of pieces of candidate recommendation information in a descending order according to the comprehensive score. Then piece of candidate recommendation information ranked at the top is selected.

Abstract: A system responds to a request to enable a restoration capability for a first database instance of a first operating environment. The system stores, in the first operating environment, transaction data for the first database instance and data indicative of aspects of the configuration of the first operating environment on which the first database instance is dependent. The transaction data and configuration data are replicated to a second environment. In response to a request to restore the first database instance, a second operating environment is configured according to the replicated configuration data, and the data is restored to a second database instance, in the second operating environment, based on the replicated transaction data.

Abstract: The disclosure relates to method and system recommending tuning of parameters to generate a data analytics model. The method includes identifying at a data pre-processing stage a pre-processing subset from an associated set of predefined pre-processing methods for a predefined objective. The method includes identifying at a feature selection stage a feature subset from an associated set of predefined feature selection methods for the predefined objective. The method includes identifying at a model training stage a training subset from an associated set of predefined model training methods for the predefined objective. The method further includes generating a plurality of data analytics tuples and selecting a data analytics tuple from the plurality of data analytics tuples. An output result of the data analytics tuple includes highest ranked results for the predefined objective.

Abstract: A method of leveraging a global confidence classifier for information retrieval in contact centers according to an embodiment includes receiving, by a computing system, a user query from a contact center client communication with a knowledge-only bot of the computing system, performing, by the computing system, feature extraction on the user query by converting query words of the user query into a numerical vector representation of the user query, identifying, by the computing system, a subset of documents most likely to be responsive to the user query, and re-ranking, by the computing system, the subset of documents most likely to be responsive to the user query based on a global confidence classifier model.

Abstract: A method includes collecting, by a first AI application of a first AI computer, data to include in a dataset. The first AI application of the first AI computer can include an offer for the dataset into an offering platform. The first AI application of the first AI computer can then receive a response to the offer from a second AI application of a second AI computer. The first AI application of the first AI computer can determine whether or not to provide the dataset to the second AI application of the second AI computer. The first AI application of the first AI computer can, based on the determination, provide the dataset to the second AI application of the second AI computer.

Abstract: A web content inspection system is configured to monitor the activity of web content tags and cookies during interaction with web content. Monitoring may include automated simulations of web content interaction that occur in a virtual browser or environment, as well as real-time monitoring of web content interactions that occur with actual users through a browser or other application. Features may include monitoring of the creation of cookies, writing information to cookies, and reading information from cookies, as well as associating cookies with the tags or scripts that affect them, and displaying such associations in a hierarchical form that indicates the sequence of actions that led to the cookie activity. Other features include monitoring for the presence of high-risk information in plain-text or encoded formats, within a URL or other portion of web content. Other features include determination of overall risk associated with a tag based on its activities.

Abstract: The present disclosure relates to systems and methods for automatically associating additional content with sports games. The systems and methods obtain game schedule data for a plurality of sports games, and for each scheduled game, the systems and methods select articles published within a timeframe of the game date of the scheduled game. The systems and methods identify sports articles associated with the sports game based on entities and event phrases extracted from the sports articles matching the schedule game data. The systems and methods classify the sports articles into a plurality of clusters and use the clusters to associate the sports articles to the game schedule data and store the associated sports articles with the game schedule data.

Abstract: Disclosed herein is a method for facilitating determination of differences between a pair of regulatory documents. Accordingly, the method may include receiving a first regulatory document and a second regulatory document from a device, converting the first regulatory document and the second regulatory document from a source format to a preferred format, analyzing the first regulatory document and the second regulatory document of the preferred format, identifying first portions of the first regulatory document and second portions of the second regulatory document, classifying the first portions into first classification codes and the second portions into second classification codes, comparing the first classification codes with the second classification codes, determining a change associated with a first portion of the first portions, associating the change to the first portion, generating a combined annotated regulatory document, and transmitting the combined annotated regulatory document to the device.

Abstract: Disclosed herein is a method for facilitating classification of portions of a regulatory document using multiple classification codes.

Abstract: A computer-implemented method, a computer program product, and a computer system for reflecting metadata annotated in crawled documents to original data sources. In response to one or more internal documents in an application being annotated with metadata, the computer system converts a metadata format handled in the application to a metadata format handled in one or more data sources. The computer system posts, to one or more original documents in the one or more data sources, the metadata in the metadata format handled in the one or more data sources.

Abstract: Systems, methods, and computer programming products for estimating ingestion time of ingested files to be transformed into a searchable state for content mining by an on-premises computing environment or cloud environment, including multi-tenant cloud environments. Ingested files being indexed are analyzed for divisibility. Ingestion time varies based on the number of divisible elements (such as lines) of data within the ingested file and the amount of data per divisible element. A converter divides files into a plurality of elements treated as independent data and calculates the estimated ingestion time based on the number of divisions and file size for each divisible element. Estimated ingestion time is stored to internal fields corresponding to each divisible element in the index for the search data. During content mining, an internal condition is added to received search queries, displaying only search results where the estimated ingestion time is older than the current time.

Abstract: Disclosed herein are system, method, and computer program products for storing a snapshot of block-level changes in a data volume using a file system-level backup tool. An embodiment operates by receiving the block level changes in the snapshot from the data volume stored in an application in a cluster. The embodiment creates a root directory for the snapshot. The root directory may have one or more subdirectories. The embodiment maps one or more block changes in the data volume onto the one or more subdirectories and creates a manifest for identifying the snapshot in the file system-level backup tool. The manifest may be associated with the root directory. The embodiment then instructs the file system-level backup tool to store the snapshot by storing the root directory in content-addressable object storage based on the one or more subdirectories and storing the manifest in a manifest storage.

Abstract: Methods and systems for execution of distributed analytics include building a global linked structure that describes correspondences between dataset metadata structures, analytics metadata structures, and location metadata structures and that encodes compatibility between respective datasets, analytics, and locations. A set of analytics and compatible datasets for execution is determined based on the dataset metadata structures, analytics metadata structures, and global linked structure. An optimal execution location is determined based on the determined set of analytics and compatible datasets, the location metadata structures, and the global linked structure. The set of analytics and compatible datasets are deployed to the optimal location for execution.