Abstract: Techniques for performing database operations using vectorized instructions are provided. In one technique, a hash table probe phase involves executing vectorized instructions to determine where in a bucket a particular key is located. This determination may be preceded by one or more vectorized instructions that are used to determine whether the bucket contains the particular key.

Abstract: Methods and systems are provided for identifying unique devices and/or unique users of a web-based system within constraints of an external application. In some embodiments the process comprises receiving request information from a client device at an application server, using such information to form a device fingerprint, and attempting to match the newly-formed fingerprint with exactly one fingerprint stored in a database of previously-formed fingerprints. Some embodiments utilize a two-stage Locality-Sensitive Hash query technique. The client device fingerprint may be converted into a series of LSH values which may be used to find a matching fingerprint. A first stage may query input LSH values against LSH values in a data store, and a second stage may query LSH values temporarily held in volatile memory, thereby minimizing network traffic and reducing a total process time.

Abstract: A search method, a search system, and a natural language comprehension system are provided. The search system includes a structured database and a search engine. The structured database stores a plurality of records, each of which has a title field and a content field. The title field includes at least one sub-field, and each sub-field includes an indication field and a value field. The indication field stores indication data, the value field stores value data, and the content field stores detailed content data. The search engine conducts a full-text search to the records in the structured database according to a keyword derived from a user's request formation, and a search result is transmitted to a knowledge comprehension assistance module, so as to recognize the user's intention. After the user's intention is recognized, information associated with the recognized user's intention is transmitted back to the user.

Abstract: To facilitate legal research, companies, such as Thomson West provide subscription-based online information-retrieval systems. Seeking to improve these and/or related systems, the present inventors devised, among other things, an exemplary legal research system that performs a conventional search to identify a set of starter documents and then leverages the metadata associated with these starter documents to identify another larger set of relevant documents. Documents in this alternate set are then scored using, for example, a learning machine and feature vectors that account for metadata relationships between the starter documents and alternate documents.

Abstract: A system and method for the dynamic categorization of heterogeneous, regulated enterprise information assets. In one embodiment of the invention a system includes a computer network controlled by an enterprise and a database including a plurality of enterprise data entities. A user interface, through which a plurality of enterprise users may access the enterprise data entities, is also used by the plurality of users to assign user-defined categories to the enterprise data entities. The user interface is configured to enable a plurality of the users to access and assign additional user-defined categories to enterprise data entities having user-defined categories previously assigned by other users.

Abstract: Implementations relate to systems and methods for aggregating and presenting data related to geographic locations. Geotag data related to geographic locations and associated features or attributes can be collected to build a regional profile characterizing a set of locations within the region. Geotag data related to the constituent locations, such as user ratings or popularity ranks for restaurants, shops, parks, or other features, sites, or attractions, can be combined to generate a profile of characteristics of locations in the region. The platform can generate recommendations of locations to transmit to the user of a mobile device, based for instance on the location of the device in the region as reported by GPS or other location service and the regional profile. Geotag data can include audio data analyzed using region-specific terms, and user recommendations can be presented via dynamic menus based on regional profiles, user preferences or other criteria.

Abstract: Techniques for adjusting the frequency of data backups and initiating event-driven backups in a storage system are disclosed herein. In one embodiment, a self-adjusting backup frequency, known as a “Change Rate Objective,” is defined to conduct or delay backups for one or more volumes in the storage system on the basis of an associated policy value. The Change Rate Objective may be tied to one or more business or data activity events, such as the amount and type of data changes since a last backup. The storage system may also be tailored to conduct or delay full or incremental backups on the basis of a Change Rate Objective that measures whether a full or incremental or differential backup is more appropriate. Various data or system failures, or data or business events may also be used to adjust the retention periods of continuous data protection (CDP) data and delay a rollup of CDP data.

Abstract: The disclosed techniques that can use deduplication information on a source computer platform to improve the process of performing data backups or restoration from/to the computer platform. In one example aspect, a data backup operation can re-use some of the work already done by a source computer's deduplication system. For example, a storage operation could read a deduplication database on the source computer platform to determine the duplicativeness of a given data chunk being transferred to a backup storage system, without having to perform computations such as data chunk hashing and comparison with previously generated hashes. The technique may additionally or alternatively reuse hashes generated by the source computer during deduplication of the data file on the source computer's file system during deduplication at the external backup storage system.

Abstract: A method includes receiving at least a portion of a task. The method also includes parsing the task as the task is being received to identify a keyword in the task. In addition, the method includes, in response to identifying the keyword, applying the keyword to one or more parameters of the task while the task is being received to produce a modified task. The method could further include parsing a second task that is received subsequent to the received task, identifying a second keyword in the second task, and associating the second task with the received task in response to identifying the second keyword. Associating the second task with the received task could include determining a hierarchy between the second task and the received task based on the second keyword or determining that the second task is a subtask of the received task based on the second keyword.

Abstract: Systems and methods for recording content from a different source when previous content runs over are provided. A recording of a first media asset from a first content source is scheduled. The first media asset is scheduled for transmission from the first content source at a start time following a scheduled transmission end time of a second media asset from the first content source. Transmission of the second media asset from the first content source is determined to run past the scheduled end time. A determination is made, based on a visual component and/or an audible component of the second media asset, that transmission of the first media asset at the start time from the first content source has been changed to a second content source. The recording of the first media asset is modified to record the first media asset at the start time from the second content source.

Abstract: Systems and methods for generating pluggable domain-specific data types are provided herein. According to some embodiments, methods for generating pluggable domain-specific data types may include determining a schema for the domain-specific data type, the schema including a data protocol that defines how data units are to be encoded into a domain-specific data unit, the domain-specific data unit including two or more data units received from one or more data sources, generating the domain-specific data type utilizing the determined schema, the domain-specific data type having a pluggable format such that the domain-specific data type may be utilized by a third-party application, and storing the domain-specific data type in a domain-specific data type library.

Abstract: A method includes importing legacy data from a legacy application into a new system by storing the legacy data in a database separate from data native to the new system; displaying, to a user via a display screen, an interface configured to allow a user to view both legacy data and data native to the new system; displaying, to the user via a display screen, an interface including information of the legacy data that is associated with a particular patient account, one or more interface elements configured to allow the user to perform limited actions with respect to the particular patient account associated with the information, and a user interface element configured to allow a user to selectively activate the patient account.

Abstract: Potential clues are identified from an unstructured data source. The potential clues are each associated with one or more contexts. A first set of potential contexts for the unstructured data source are determined based on the potential clues. A confidence value for each potential context in the set of the potential contexts is calculated based on the potential clues. A second set of potential contexts is returned from the first set of potential contexts.

Abstract: Potential clues are identified from an unstructured data source. The potential clues are each associated with one or more contexts. A first set of potential contexts for the unstructured data source are determined based on the potential clues. A confidence value for each potential context in the set of the potential contexts is calculated based on the potential clues. A second set of potential contexts is returned from the first set of potential contexts.

Abstract: A computer-implemented method for minimizing join operation processing time within a database system based on estimated joined table spread of the database system has been provided. The computer-implemented method includes estimating value distribution of data in a joined table, wherein the joined table is a result of join operation between two instances of tables of a database system. The computer-implemented method further includes determining boundaries for partitioning at least one range of attributes of the estimated value distribution, wherein the boundaries for partitioning at least one range of attributes of the estimated value distribution corresponds to a same number of rows of the joined table. The computer-implemented method further includes determining at least one assignment of the determined partition of the at least one range of attributes to processing units of the database system.

Abstract: Described embodiments enable the presentation to a user of news articles or other content that is of likely interest to a user and that is temporally and/or geographically relevant to the user's location or region of interest. A news delivery system includes an ingest module that assigns topics, locations and dates to available content, a profile engine that determines profile topics and geographic locations that a particular user finds relevant, and a news delivery module that selects content for the user based on the operation of the ingest module and the profile engine and the desired timeframe. In one embodiment, the profile engine performs decay processing to remove stale topics and locations from a user's profile. In related aspects, the profile engine maintains multiple profiles for the user.

Abstract: A computer-implemented method for minimizing join operation processing time within a database system based on estimated joined table spread of the database system has been provided. The computer-implemented method includes, estimating value distribution of data in a joined table, wherein the joined table is a result of join operation between two instances of tables of a database system. The computer-implemented method further includes determining boundaries for partitioning at least one range of attributes of the estimated value distribution, wherein the boundaries for partitioning at least one range of attributes of the estimated value distribution corresponds to a same number of rows of the joined table. The computer-implemented method further includes determining at least one assignment of the determined partition of the at least one range of attributes to processing units of the database system.

Abstract: Techniques to manage files and other stored objects are disclosed. An identification is received of a plurality of files associated with a synchronization set. An identification of a plurality of endpoints associated with the synchronization set is received. Synchronization is maintained across the endpoints with respect to at least a subset of the files included in the plurality of files. In some embodiments, maintaining synchronization across the endpoints includes materializing each file, and updates thereto, at each endpoint at which the file is stored in a manner required by that endpoint while maintaining an awareness of which files or other objects as stored at each endpoint at which files are stored correspond to which files or other objects as stored at other endpoints at which files are stored.

Abstract: Embodiments relate to reporting data of project artifacts in a multi-source universe database environment. In embodiments, an analytics module is configured to receive as input, data in target tables of a data federator. With reference to a file, the analytics module creates a federated table in a federator layer of an Information Design Tool (IDT) in a multi-source universe database environment. The federator layer may also include data source references, objects, and mapping rules. This migration process allows the IDT to preserve with the federated tables, previously created mapping rules defining the complex logical relationship between the target tables and the underlying database data. These mapping rules are used in creating project-based reports of the federated table data in the multi-source database universe environment. In this manner, data can be migrated to a multi-source database universe, while conserving previous effort to define logical relationships between federated data and the database.

Abstract: A system, computer program product, and computer implemented method for executing instructions at a replication site with a cookie manager, the method comprising receiving a cookie at the replication site, the cookie enabled to contain executable instructions, and executing the executable instructions contained in the cookie via a cookie manager on the replication site.