Abstract: An example method is provided in according with one implementation of the present disclosure. The method comprises generating, via a processor, a set of hashes for each of a plurality of objects. The method also comprises computing, via the processor, a high-dimensional sparse vector for each object, where the vector represents the set of hashes for each object. The method further comprises computing, via the processor, a combined high-dimensional sparse vector from the high-dimensional sparse vectors for all objects and computing a hash suppression threshold. The method also comprises determining, via the processor, a group of hashes to be suppressed by using the hash suppression threshold, and suppressing, via the processor, the group of selected hashes when performing an action.

Abstract: According to one embodiment, a classification apparatus includes the following elements. The target log extraction unit extracts a set of dialogue logs for a dialogue from dialogue logs for dialogues between a user and an interactive system, the dialogue including a first speech and a second speech of the user, the set of dialogue logs including information indicative of a classification used for a search performed by the interactive system based on the first speech, information indicative of a failure in the first search, and data acquired as a result of a search performed by the interactive system based on the second speech. The classification relation generator generates a classification relation in which the classification is associated with the data.

Abstract: A system is provided that includes a document validation within a non-relational database system that is capable of reviewing documents according to one or more validation rules. The document validator may be incorporated within a non-relational database engine and may perform validation operations when one or more database functions are performed.

Abstract: Disclosed are system and methods for processing and storing data files, using a data edge file format. The data edge file separates information about what symbols are in a data file and information about the corresponding location of those symbols in the data file. The described technique converts a source file comprising symbols into a data edge index having a manifest portion, a symbol portion, and a locality portion. The symbol portion contains a sorted unique set of the symbols from the source file, and the locality portion contains a plurality of location values referencing the symbol portion. The technique includes normalizing the structured data from the source file by modifying the locality manifest portion of the data edge file to include a description of at least one nonexistent column empty locality value at a respective position within the locality file representing an omission of data at an associated the respective position in the source file.

Abstract: The embodiments relate to assigning data to processors of a file system. Metadata associated with respective blocks of data, and an initial batch of the blocks is assigned to nodes of a file system based on the metadata. Unassigned blocks are selectively assigned to one or more of the nodes. The selective assignment includes constructing a linear regression model based on node data, and determining a value for each node based on the linear regression model. Each value is associated with a predicted load corresponding to a new assignment of one or more unassigned blocks.

Abstract: Enables data mining of monitored information, activities, and agreements associated with a throttling system. An agreement includes one or more conditions to satisfy the agreement, such as one or more tasks or activities to be performed by an agreement performer or events that may be detected, and actions performed to enforce or assert the agreement such as controlling the electronic device and/or enabling or disabling or otherwise limiting, reducing or increasing the amount or type of information allowed with respect to any or all electronic devices associated with the agreement performer.

Abstract: System and method that handles the inconsistent processing of interactive media (e.g. digital games, music visualization software, video playback software, animation software, etc.) and the generally consistent timeline delay to enable synchronization of messages and events with the playback of potentially variable-rate timelines.

Abstract: A method for managing a region tag may comprise acquiring a region identifier information of a geographic region, acquiring an attribute evaluation tag of the geographic region by a user whose geographic position is in the geographic region and a time identifier of the attribute evaluation tag, integrating the region identifier information, the attribute evaluation tag, and the time identifier thereof into a region tag of the geographic region, and clustering region tags of the geographic region in a time domain comprising one or more time periods to generate a region time period tag of the geographic region for each time period.

Abstract: Described are systems and methods for establishing a unit group dictionary based on user provided annotations. The unit group dictionary may be used to identify relationships between multiple items in a corpus. Those relationships may facilitate the display of object identifiers and/or other aspects used and/or provided by the object management service.

Abstract: A system may include multiple personal data sources and a machine-implemented data extractor and correlator configured to retrieve personal data from at least one of the personal data sources. The data extractor and correlator may extract information from unstructured data within the retrieved personal data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data. A natural language query module may be configured to receive a natural language query from a user and provide a response to the natural language query based at least in part on one or both of the previously stored structured data and the additional structured data.

Abstract: One or more computing devices, systems, and/or methods for displaying videos based upon selectable inputs associated with tags are presented. For example, a video may be identified. A transcript, associated with the video, may be determined. The transcript may comprise a plurality of text segments. The transcript may be analyzed to generate a plurality of sets of tags associated with the transcript. A plurality of selectable inputs may be generated based upon the plurality of sets of tags. A video interface, comprising the plurality of selectable inputs, may be displayed on a first device. A selection of a first selectable input may be received via the video interface. The first selectable input may be associated with a first tag of the plurality of sets of tags and a first time of the video. A second device may display the video based upon the first time of the video.

Abstract: Internet searches sometimes provide search results referencing webpages that do not contain all search term elements submitted by a user. The user may then click on such Internet search results where referenced webpages, and/or their descendants, do not contain important search term elements. Also, advertisements are sometimes placed on search results webpages that relate to the user's search term elements, even though some of those search terms are missing in referenced and/or descendant webpages. The present invention is directed to: annotating Internet search results to indicate missing search term elements on referenced and descendant webpages; optionally filtering out search results referencing webpages with missing terms; and showing advertisements related to search term elements.

Abstract: A system may include multiple personal data sources and a machine-implemented data extractor and correlator configured to retrieve personal data from at least one of the personal data sources. The data extractor and correlator may extract information from unstructured data within the retrieved personal data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data. A natural language query module may be configured to receive a natural language query from a user and provide a response to the natural language query based at least in part on one or both of the previously stored structured data and the additional structured data.

Abstract: The present disclosure provides a method and system for a scalable complex event processing of event streams. The method includes reception of one or more input event streams and collection of one or more output event streams. Further, the method includes modeling of each instance of each input event stream and each instance of the plurality of instances for intermediate states as records of a database table. The method includes indexing of each record of the database table and distribution of a first set of records in temporary memory and the second set of records in one or more persistent storage devices. The method includes flushing the second set of records of the database table in one or more persistent storage devices and querying of the plurality of records of the database table. The method includes inferring one or more complex events from transition of a plurality of states.

Abstract: The present inventive subject matter provides systems, methods, software, and data structures for patent mapping, storage, and searching. Some such embodiments include mapping patent documents, claims, and claim limitations. Some further embodiments provide for searching a universe of patent documents by patent document, claim, limitation, class, element, or concept.

Abstract: Techniques are provided for using a sparse file to create a hot archive of a pluggable database of a container database. In an embodiment and while a source pluggable database is in service, a source database server creates a clone of the source pluggable database. Also while the source pluggable database is in service, the source database server creates an archive of the source pluggable database that is based on the clone. Eventually, a need arises to consume the archive. A target database server (which may also be the source database server) creates a target pluggable database based on the archive.

Abstract: In some examples, natural language unification based robotic agent control may include ascertaining, by a robotic agent, an image of an object or an environment, and ascertaining a plurality of natural language insights for the image. A semantic relatedness may be determined between each insight of the plurality of insights, and a semantic relatedness graph may be generated for the plurality of insights. For each insight of the plurality of insights, at least one central concept may be identified. Based on the semantic relatedness graph and the identified at least one central concept, the plurality of insights may be clustered to generate at least one insights cluster. For insights included in the least one insights cluster, a unified insight may be generated. Further, an operation associated with the robotic agent, the object, or the environment may be controlled by the robotic agent and based on the unified insight.

Abstract: A computer-implemented method for indexing a stream of files is disclosed. The method comprises receiving a file; generating a set of atomic indexes based on the file contents; storing the atomic indexes in a current index; and if the current index reaches a threshold criterion, freezing the current index into a read-only form, propagating the current index to one or more distributed databases, and generating a new index for future insertions. In some embodiments, the method further comprises one or more of providing an interface to query the databases for files matching a particular signature; searching the databases using a YARA-specified signature; converting a user-provided signature in the YARA format to an index-acceleratable format; retrieving a set of files that are possible matches of the particular signature; verifying that each file of the set of files is a match of the particular signature; and providing the files through the interface.

Abstract: Managing content on a social network may include maintaining a database of users of a social network provided over a network interface between a server computing device and the social network. The database records a bias each user has demonstrated with respect to at least one topic. Managing the content may include monitoring reactions to a first post on the social network, determining a first bias factor for the first post based on the reactions to the first post and a corresponding recorded bias from the database of each user that reacts to the first post, and filtering content of a first user's activity stream based on the bias factors of previous posts available for inclusion in the first user's activity stream.

Abstract: A method of visualizing search results is provided. The method includes receiving a content feature, detecting, within a network, a subnetwork pattern representing a relationship satisfying a condition and associated with an entity of a first or a second type, the entity being associated with the content feature, and generating a visualization based on the detected subnetwork pattern. The visualization includes a first region representative of the first type of entity, a second region representative of the second type of entity, and a linking region connecting the first region to the second region and providing information about the represented relationship.