Abstract: In one embodiment, a complex query includes components that are arranged in a hierarchical structure including a first type of filter and a second type of filter and are connected by connectors. The method selects a first data set and selects a second data set for the components. The second data set being generated by processing data in the first data set for the second type of filter and the second data set includes entries describing a result of the processing. The first type of filter is applied to the first data set and the second type of filter to the second data set for the components where the information describing the result is used by the second type of filter to filter entries and first type of filter filters entries based on column values in the first data set. The method combines outputs of the components using the connectors.

Abstract: A method and system for improving a domain specific search is provided. The method includes executing a user initiated search query and analyzing associated. In response, a search results data set is generated and associated hardware sensor devices detect how a user interacts with specific search facets of the search results data set. The search results data set is refined and attributes of the specific search facets are determined. Unstructured data associated with items described within the search results data set is updated.

Abstract: Embodiments of the present invention provides methods, computer program products, and systems for normalizing confidence score thresholds across systems in a federated environment. Embodiments of the present invention can be used to calculate normalization factors for participating hubs in a federated environment to normalize confidence score thresholds applied by those hubs and improve search results obtained therefrom.

Abstract: A knowledge graph is built based on a corpus stored in the computer system. The corpus includes a set of searchable events and each event includes a respective set of entities. A set of entities is identified in a first set of significant events returned by natural language query (NLQ). The knowledge graph determines which ones of the set of entities are related to the entities in the NLQ to produce a filtered set of entities. The filtered set of entities is used to identify a second set of significant events in the selected corpus. Members of the first and second set of significant events are presented to a user as a search result.

Abstract: A method for presenting a graphical user interface (GUI) of a software application connected to a server, the software application comprising at least a database, is provided. The method receives, at the server, user input comprising a search; generates, at the server, a set of search results based on the search, the set of search results being associated with entities of the software application, each of the entities comprising a respective database object containing predefined categories of data, the database comprising at least the database object; determines a priority order of the search results, based on user interaction history with the entities; and presents, via the GUI, the search results according to the priority order.

Abstract: To provide content group distribution method and system that allow a content group distribution that improves a convenience of an action to consume a content group widely and shallowly by a user, and further, improves an efficiency as well. A fragment DB 12 has attribute information indicative of what sort of purpose information of a fragment meets. A profile information DB 21 has degree-of-demand information indicative of what sort of attribute information a content demanded by a consumer has. A fragment generating unit 70 configures each content surely from “a plurality of fragments and one main body.” A content generating unit 51 generates a content fragment group while calculating a priority using the fragment DB 12 and the profile information DB 21. A user interface generating unit 50 generates a user interface for choosing an additional consumption of the fragment group for the fragment group.

Abstract: Clustering a set of natural language queries NLQs based on a set of significant events retrieved from a corpus stored in a computer system is described. A set of NLQs is used by a search engine for searching a selected corpus to retrieve respective sets of significant events. The set of NLQs is clustered into a plurality of NLQ clusters according to a number of common significant events being returned by the search engine for respective members of an NLQ cluster.

Abstract: A classification method and a classification device for service data. The classification method includes: acquiring service data, each including plural service indicators; extracting the service data whose category attribute meets a preset condition according to a set extraction rule to form a first data set, the extraction rule set according to part of the service indicators; taking and clustering the service data that are not extracted as a second data set; determining a classification result of the service data according to the first data set and a clustering result of the second data set; extracting service data of definite category attributes according to the extraction rule; and determining a classification result of service data according to a result of clustering of the service data which are not extracted and the service data having definite category attributes.

Abstract: A computer search service can receive an enterprise graph query from a client computing device that is remote from the computer search service, with the enterprise graph query identifying an actor object set, a target object set, and a relationship between the actor object set and the target object set. The search service can return results of the enterprise graph query to the client device. The search service can receive from the client device an indication of user input instructing the search service to persist the enterprise graph query, with the indication of user input also instructing the search service to associate the persisted enterprise graph query with an entity. Moreover, in response to receiving the indication of user input, the search service can persist the enterprise graph query as well as associate the persisted enterprise graph query with the entity and/or enter a subscription entry for the query.

Abstract: Embodiments for implementing intelligent web navigation by at least a portion of a processor. One or more uniform resource locators (URLs) may be accessed (e.g., opened) according a user history of Internet activities, user preferences, one or more current user activities, calendar data, or a combination thereof. Selected feedback may be gathered (e.g., collected) from the user relating to the one or more URLs according to activities of the user performed on the one or more URLs. The one or more URLs may be classified into one of a plurality of classifications to indicate a degree of relevancy to the user.

Abstract: Apparatuses, systems, and methods for generating and utilizing custom indexes for a plurality of geo-locations are described. A plurality of indexes are generated, each corresponding to one of a plurality of geo-locations, based on spatial area subdivisions of a space including the plurality of geo-locations. A points of interest (POIs) query is received, wherein results of the query are to be limited by a distance value. One or more geo-locations are identified as POIs within the distance value from a first geo-location of the plurality of geo-locations based on the corresponding indexes of the one or more identified geo-locations.

Abstract: In one embodiment, a service receives a one or more digests to verify a plurality of requests that were performed by a request handler for one or more clients. The digests summarize processing of the plurality of requests using a first contract. The information for the one or more digests is stored in a plurality of blocks in a distributed ledger. A second contract is executed to verify the processing of the plurality of requests. The second contract generates a first set that stores states for reads of values from the data store; generates a second set that stores states for values written to the data store, and verifies the processing by checking states in the first set are a subset of states in the second set.

Abstract: Systems and methods for reducing data storage overhead are disclosed herein. In some embodiments, a system includes a rollup service that converts a raw data set into a rolled up index that takes up less storage than the raw data but is created in such a way that the rolled up index can be queried so as to generate responses that will substantially correspond to responses that would be generated using the raw data.

Abstract: Described herein is a computer implemented method for balancing a set of issues maintained by an issue tracking system, each issue in the set of issues having an original rank value. The method comprises determining a set of new rank values for the issue in the set of issues; selecting a first issue from the set of issues, the first issue being an issue from set of issues that is neither a lowest ranked issue or highest ranked issue; determining whether the first issue can be safely re-ranked based on the new rank value calculated for the first issue and original rank values of issues adjacent to the first issue; and in response to determining that the first issue can safely be re-ranked, re-ranking the first issue by assigning the new rank value determined for the first issue to the first issue.

Abstract: A magnetic tape cartridge secured with a blockchain is disclosed. The magnetic tape cartridge includes a solid-state cartridge memory, a reel of magnetic tape containing data, and a blockchain having a series of blocks. Each block in the blockchain contains a hash digest based on a portion of the data stored on the reel of magnetic tape and data pointers that link that portion of data stored on the reel of magnetic tape to each respective block. The blockchain blocks are stored in the solid-state cartridge memory. The portion of data upon which the hash digest is based is not redundantly stored in the solid-state cartridge memory with the block. The portion of data may be a logical volume, a logical partition, or all data stored on the reel of magnetic tape. The magnetic tape cartridge may also include a table containing pages stored within the solid-state cartridge memory with one of the pages being allocated for containing the blockchain.

Abstract: In one embodiment, a method includes receiving, from a first client system associated with a first user, a message sent from the first user to a second user, analyzing the message from the first user to identify one or more intents and one or more slots of the received message, computing a confidence score for the intent to offer entity information based on user behavior history records associated with the second user, sending, to a second client system associated with the second user, if the confidence score exceeds a threshold score, instructions for presenting a suggestion to the second user to store the values for entity information in association with a profile record for the entity, and receiving, from the second client system associated with the second user, an indication from the second user confirming the values for entity information should be stored with the profile record for the entity.

Abstract: Some embodiments provide a program that provides a view of a map that includes a geometry representing a geographical region belonging to a first level in a plurality of levels of a geographical hierarchy. The program further receives a request to focus on a geometry representing a geographical region belonging to a first level in the plurality of levels. The program further provides, in the view of the map, a subset of a set of geometries representing a set of geographical regions belonging to the second level in the plurality of levels of the geographical hierarchy. The program also provide, in the view of the map, a point for each record in the dataset having a spatial point in the location field that falls within the geometry representing the geographical region belonging to the first level in the plurality of levels.

Abstract: A method includes identifying data objects for a file system to be installed on a computer system. Each of the data objects is to be stored in the file system using a respective path. The method also includes creating an intermediate file system structure that includes elements representing the data objects to be stored in the file system, each of the elements being placed in the intermediate file system structure at the respective path. Creating the intermediate file system structure may include identifying a subset of the data objects that each includes a symbolic link in a portion of the respective path, and for each data object in the subset, replacing the symbolic link in the portion of the respective path with a target path associated with the symbolic link. The method also includes installing the file system on the computer system using the intermediate file system structure.

Abstract: Systems and methods are provided for performing constraint driven database searching. At least one constraint is received for a search of one or more databases comprising one or more datasets, each comprising multiple entry fields. The one or more databases comprising the one or more datasets may be accessed and searched based on the constraint to identify one or more dataset entries that contain the at least one constraint in one of multiple entry fields. A visual representation of the identified dataset entries may be provided to the user as results of the constraint driven database search. Additional constraints may be accepted to further narrow the results of constraint driven database search. The results may be exported and made accessible for later retrieval and/or cached for use in subsequent searches.

Abstract: User behaviors are monitored, by machine logic, during a visit to a venue by a user, the user behaviors associated with user interactions with items in the venue, a location of the items being tracked. In real-time, based, at least in part, on the user behaviors and the items, a subsequent behavior of the user is predicted, by machine logic, the predicting resulting in predicted behavior(s). Cognitive recommendations are provided, by machine logic, to the user in real-time during the visit, the cognitive recommendations corresponding to additional item(s) based, at least in part, on the predicted behaviors and the items. Machine learning is used to train a system for facilitating the noted aspects, as well as to update training.