Abstract: In an approach for detecting web browsing subject-oriented event interactions and intelligently organizing web pages based on insights from important interactions for better exploration and efficient management, a processor extracts time series data associated with a plurality of web browsing events based on browsing historical actions of a user. A processor identifies the subject of each web browsing event. A processor determines major events based on the time series data and subjects of the plurality of web browsing events. A processor organizes the plurality of web browsing events based on subject hierarchy and timeline from the time series data. A processor highlights one or more uniform resource locators based on the subject hierarchy and timeline.

Abstract: A sub-archive is initiated. The sub-archive saves changes that have occurred since a previous final archive. Changes to an operational database (i.e., the operational database that is being archived) are allowed during the first sub-archive. A final archive is initiated in series after the sub-archive has completed. The final archive does not allow changes to the operational database when the final archive is active. In one embodiment, the sub-archive may comprise a plurality of sub-archives that depend on an amount of outstanding changes that exist in the operational database.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program identifies a first data structure having a first type. The first data structure is configured to store a set of geometries. The program further identifies a second data structure associated with the first data structure. The second data structure is configured to store modifications to the set of geometries. The program also perform a merge operation on the first data structure and the second data structure to form a third data structure.

Abstract: A system for acquiring time limited data to facilitate integrity verification in real-time applications (RTAs) includes an agent and a collector. The agent is associated with a RTA and is in communication with the collector. The agent defines a plurality of time ordered time frames and during each time frame collects a collection of events from event sources occurring on the RTA. The agent calculates a local integrity check from the collection and a previous integrity check or an initial key, and transmits a global integrity check calculated from local integrity checks to the collector. The collector receives the global integrity check from the agent and stores the received global integrity check in a secure storage. The collector validates the integrity of the global integrity check and the received collections of events.

Abstract: A tiered storage arrangement is contemplated that provides high speed tier 1 storage for rapid access to recalled data, mid-speed tier 2 storage for data that is not frequently recalled and tier 3 storage for archive purposes that may include tape library storage and even cold storage in vaults. Embodiments contemplate a server linked to all tiered storage devices on one end and a host computer on another. Data files can be migrated between the tiered storage systems based on migration policies, such as time elapsed from being filed or last accessed. Also, embodiments contemplate a time bar displayed at the host computer that provides accurate time predictions of data recall including information of the kind of storage on which a target file is stored and the pathway to recall the target file/s locally to the host computer.

Abstract: A computer-implemented method for automatic generation of data visualizations may include: receiving, from a user, a request to open a document, receiving, from the user, a selection of data for visualization in the new document, determining whether the user has a trained visualization model, upon determining that the user has a trained visualization model, loading the user's trained visualization model, upon determining that the user does not have a trained visualization model, loading a default trained visualization model as the user's trained visualization model, using the user's trained visualization to generate one or more suggested visualizations of the selected data, and displaying the one or more suggested visualizations to the user.

Abstract: Embodiments of the present systems and methods may provide the capability ensure that data is persisted and accessed correctly without depending on eventually consistent list operations on the object store. For example, in an embodiment, a computer-implemented method for data distribution may comprise attempting to persist a plurality of data parts from a plurality of processing tasks, generating a manifest including information indicating those attempts to persist data parts that have succeeded, and persisting the manifest with the data parts that have been successfully persisted.

Abstract: Systems, methods, and computer-readable media for asynchronous (async) querying are described. In embodiments, a system may convert a user-issued query into a distributed execution instruction set (DEIS), and issue the DEIS to data stores that may have various database structures. The system may obtain database objects from the data stores, and store a result set indicating the obtained database objects in a location specified by the user-issued query. The system may also provide mechanisms to allow users to view progress of their async query jobs and/or cancel ongoing async query jobs. Other embodiments may be described and/or claimed.

Abstract: A method, system and computer-readable medium for analyzing contact studies for a call service center is presented. The method includes the steps of: acquiring data instances of a Collector tool from all persons monitoring contacts at a call service center during a given study period; retrieving a study design from a Planner tool to verify that acquired data instances conform to the study design; selecting data parameters for the acquired data instances, wherein the data parameters describe multiple features of the acquired data; automatically selecting an appropriate chart format that is appropriate for measurement units used by the data parameters; and creating a chart using the appropriate chart format and the data parameters. The steps in the method may all be automatically performed by an Analyzer logic.

Abstract: Systems and methods for managing data. Person and position data can be copied from a database and it can be determined whether a person is aligned to any positions. Information can be displayed representing the person and indicating any positions to which the person is aligned.

Abstract: A recommendation system includes: a display control unit configured to use a rank of a selection evaluation element selected from each of the plurality of evaluation elements, thereby allowing a display device to display a rank distance screen in which a user icon indicating the user and a first proposal activity icon indicating the proposal activity are arranged such that a distance between the user icon and the first proposal activity icon becomes shorter as the rank of the selection evaluation element assigned to the proposal activity becomes higher, the display device being used by the user.

Abstract: Examples of the present disclosure describe systems and methods relating to context rules in a graph or isolated collection. In an example, information in an isolated collection may be associated with one or more contexts. The information may be represented within the isolated collection based on one or more rules, and one or more of the rules may be associated with one or more contexts to which the information relates, thereby indicating a context association. A context association may indicate a positive, negative, or other relationship between one or more rules and one or more contexts. Based on the context association, information within the isolated collection may be adapted to generate different views of the isolated collection for different contexts. As such, relevant, useful, or actionable information may be included or emphasized, while information that is not as relevant, useful, or actionable may be omitted or deemphasized.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving a set of keywords from a graphical user interface of an electronic device of a user; pre-processing at least one keyword of the set of keywords; receiving a hierarchical categorization; pre-processing at least one category of the hierarchical categorization; determining a respective similarity between each of the at least one keyword of the set of keywords and each of the at least one category of the hierarchical categorization; determining a respective confidence level of a most likely category in the hierarchical categorization for each of the at least one keyword of the set of keywords using the respective similarity between each of the at least one keyword of the set of keywords and each of the at least one category of the hierarchical categorization; ranking each of the at least one keyword of the set of k

Abstract: Aspects described herein may provide modification of recommendations from a recommendation engine for a product or a device. The recommendation engine may provide initial search results for a particular type of device. The initial search results may be modified to ensure inclusion of devices that include features that the user considers important. Features that the user considers important may be determined based on observing the user's interaction with another device of the same type. By observing the user's interaction with the other device over a period of time, features that the user commonly uses and features that the user sparingly uses may be determined. The initial search results may then be modified to remove devices that do not include the features frequently used by the user and therefore considered important to the user.

Abstract: Various techniques are disclosed herein for storing and managing master data in hierarchical data systems. Several related concepts, embodiments, and examples are disclosed, including techniques for incremental rationalization in a hierarchical data model, techniques for implementing governance pools in a hierarchical data model, techniques for application materialization in a hierarchical data model, techniques for data intersection mastering in a hierarchical data model, techniques for change request visualization in a hierarchical data model, and techniques for hierarchy preparation in a hierarchical data model.

Abstract: A method for adapting a workflow of a content management system comprises setting an allowed action for a user, creating at least one information item depending on the allowed action for the user, in which the at least one information item comprises content to be published and a first information item status level indicative of a present status level of the content within the workflow, and executing the workflow which comprises stages each corresponding to a respective information item status level, such that a next stage of the workflow is determined based on a combination of different types of user status information, indicative of a status of the user, and the first information item status level.

Abstract: A method in a database system is disclosed. The method comprises generating a task template object from a platform entity with polymorphic lookup capability that can map to multiple tenant domains wherein the task template object contains one or more task completion storage records for storing task-specific information, converting the task template object into a work-type object by storing task-specific information in the one or more task completion storage records wherein the work-type object comprises a work-type object identifier (ID), a first record for recording the database ID of one or more work order objects mapped to the work-type object, and a first task completion storage record for storing a first type of task-specific information. The method further comprises generating a work order object for a task and providing the work order object with access to the task-specific information by linking the work-type object to the work order object.

Abstract: Various techniques are disclosed herein for storing and managing master data in hierarchical data systems. Several related concepts, embodiments, and examples are disclosed, including techniques for incremental rationalization in a hierarchical data model, techniques for implementing governance pools in a hierarchical data model, techniques for application materialization in a hierarchical data model, techniques for data intersection mastering in a hierarchical data model, techniques for change request visualization in a hierarchical data model, and techniques for hierarchy preparation in a hierarchical data model.

Abstract: A computing system includes a server. The server is communicatively coupled to a data repository and is configured to store a data in the data repository. The server is further configured to create, via a visual information flow creation tool, at least one information flow object. The server is additionally configured to create, via a retry handling policy system, a retry policy, wherein the retry policy comprises a retry condition and a retry strategy, and to enable the at least one information flow object to follow the retry strategy when the retry condition occurs.

Abstract: Activity tables for educational application programs are received. The activity tables list learning activities in the applications. Correlations of the learning activities to a set of education standards are received and an index based on the correlations is generated. A specification of an education standard a user is to satisfy is received. The index is scanned to identify which application programs have learning activities aligned to the specified education standard. User responses to the applications may be collected. Based on the user response and other usage data, the system may determine a user's level of achievement of the specified education standard.