Abstract: Provided is an automatic construction method of a software bug knowledge graph. The method includes extraction of a relationship triple of a bug and domain classification of the bug. Specifically, the method includes: collecting bug information in a bug library and processing bug description information, obtaining a verb phrase and a noun phrase in a description sentence by means of natural language processing, and then obtaining a relationship triple of the bug according to a dependency relationship between words related to the bug information, extracting a domain feature of the bug, performing learning and training with a semi-supervised classifier to enable the classifier automatically to classify unlabeled triples, storing all the classified relationship triples in a graph database, and thus constructing a software bug knowledge graph.

Abstract: Efficient immutable syntax representation with parent pointers under incremental change is enabled by creating a data structure comprising at least one tree structure that allows both upward and downward references in the tree and a tree structure that is immutable (read-only), and allows parts of itself to be re-used in other data structures. The data structure described enables tools to search and target particular sub trees. The fragment of the tree representing the targeted sub tree is produced as it is used. The rest of the tree is not produced. The read-only tree retains relative information, allowing it to be reassembled and shared.

Abstract: Described herein are systems and methods for providing a correlated content organization in a content management system based upon a training set. In accordance with an embodiment, the systems and methods described herein can build a training set based upon observations of received inputs to determine patterns that are used often in content merges. Once a pattern is established, the systems and methods can provide indications of proposed merges based upon the training set and rules established therefrom that fit the same, or similar (e.g., within a defined variant) of the pattern. The system can then receive an indication of whether the suggestion is accepted or rejected, and such decision can be fed back into the learning system. This way the accuracy of the content merge improves over time.

Abstract: Techniques for content augmentation and assist are provided. A textual conversation between a first user and a plurality of recipients is analyzed to determine a first intent of the first user. A set of relationships is determined between the first user and the plurality of recipients, and a set of historical intents corresponding to each of the plurality of recipients is evaluated to identify similar intents to the first intent. A plurality of predefined messages is identified based on one or more similar intents that overlap between two or more of the plurality of recipients. A first predefined message is selected, from the plurality of predefined messages, based on the first intent and the determined set of relationships, and suggested content is provided based on the first predefined message.

Abstract: Systems and methods to throttle a universal backup host are described. The system executes a job, at a backup host, to back up a file set from a source host including fetching metadata from the source host. The system identifies a first operation set from operation sets, the operation set including a first operation. The system communicates, in parallel, requests for metadata items, over a network, to the source host, receives responses, and processes the responses by utilizing threads from a thread pool. The system generates latencies, counts the number of requests, and stores the latencies and number of requests in samples. The system aggregates the samples responsive to a timeout. The system resizes the thread pool based on the aggregating. Finally, the system backs up the file set from the source host based on the metadata.

Abstract: Resource provisioning systems and methods are described. In an embodiment, a system includes a plurality of shared storage devices collectively storing database data, an execution platform, and a compute service manager. The compute service manager is configured to determine a task to be executed in response to a trigger event and determine a query plan for executing the task, wherein the query plan comprises a plurality of discrete subtasks. The compute service manager is further configured to assign the plurality of discrete subtasks to one or more nodes of a plurality of nodes of the execution platform, determine whether execution of the task is complete, and in response to determining the execution of the task is complete, store a record in the plurality of shared storage devices indicating the task was completed.

Abstract: Techniques are described herein for determining an information gain score for one or more documents of interest to the user and present information from the documents based on the information gain score. An information gain score for a given document is indicative of additional information that is included in the document beyond information contained in documents that were previously viewed by the user. In some implementations, the information gain score may be determined for one or more documents by applying data from the documents across a machine learning model to generate an information gain score. Based on the information gain scores of a set of documents, the documents can be provided to the user in a manner that reflects the likely information gain that can be attained by the user if the user were to view the documents.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that provide an attribution user interface that integrates attribution models as native components within the interface to configure analytics visualizations. By integrating attribution models and corresponding functions as native components of a user interface, the disclosed methods, non-transitory computer readable media, and systems can implement attribution models as parameters of attribution distributions or of any attribution visualizations, where the attribution models function as event categories. For instance, the disclosed methods, non-transitory computer readable media, and systems can provide analytics tools to generate visualizations of different attribution distributions of events across dimension values (or other visualizations) based on different attribution models.

Abstract: In certain embodiments, a presentation of a user interface may be dynamically modified for a user based on data related to the user's email address or other user identifier. As an example, the user interface may be caused to reflect the look and feel of an interface of an entity trusted by the user, incorporate data items related to the user's identifier, or effectuate other modifications. In some embodiments, a user identifier of a user may be received via a user interface associated with the third party, and a query for data related to one or more user accounts associated with the user identifier may be generated. Based on the query, multiple datasets associated with different user accounts may be received, and a first dataset associated with a first account of the user may be selected over other datasets associated with the user's other accounts effectuate the presentation modification.

Abstract: Data may be queried and analyzed in order to draw insights. One type of data query that may be performed is a funnel query. A funnel query is a query characterized by a sequence of events, e.g.: “In the last N days, how many unique users performed event A, then event B, and then event C”. Systems and methods for performing funnel queries are provided herein. In some embodiments, the speed at which a computer can answer a funnel query may be increased. In some embodiments, a bitmap is used to eliminate one or more sequences of events that would otherwise need to be traversed during the funnel query. In some embodiments, a sequence of events is stored across multiple data partitions, each data partition covering a different period of time.

Abstract: A computer-implemented method is disclosed. The method includes receiving from a remote device a search query, generating a plurality of different category-directed result sets for the search query, determining an order for the plurality of category-directed result sets based on the search query, and transmitting the plurality of category-directed result sets to the remote device, in a manner that the result sets are to be displayed in the remote device in the determined order.

Abstract: Described herein are systems and methods for providing a correlated content organizing technique in a content management system. In accordance with an embodiment, the systems and methods discussed herein provide the ability to dynamically merge multiple correlated (where dependency is derived from each content item's metadata set) content items into one single content item/document and/or organize them into a single folio for ease of future access. For example, when a user performs check-in of a new content item into an ECM application, a smart content organizer agent can find correlated and/or dependent content items and attempt to merge both content items into one single content item. This can enable all the correlated content items to exist as one single document/item in an ECM application, with the benefit of providing increased ease of accessing correlated and/or dependent content item(s) in a shorter amount time.

Abstract: Systems and methods are provided for retrieving first query result data associated with a first user account and rendering the first query result data into a first result item, generating a shareable search result stream comprising the first result item associated with the first user account, retrieving second query result data associated with a second user account and rendering the second query result data into a second result item, adding the second result item to the shareable search result stream associated with the first user account, and providing the sharable search result stream comprising the first result item and the second result item to a first computing device associated with the first user account and a second computing device associated with the second user account.

Abstract: Systems, methods, and computer-readable storage media for how to select, suggest, and modify content, which is relevant to the user, on a user interface. The system does this by combining physiological data, location data, and historical data to create a multi-dimensional user state of the user, where at least one dimension is time. The system also identifies available content, ranks the available content based on the multi-dimensional user state, and transmits a user interface a suggestion for a top-ranked item within the ranked list of available content.

Abstract: A method includes providing, to a third-party content provider, code identifying a feature associated with digital content of the third-party content provider, wherein the identification comprises a feature variable placeholder associated with the feature. The method further includes receiving, by an experimentation platform, an indication of a first event type associated with the digital content, wherein the first event type identifies a first trackable action associated with the feature. The method further includes determining, by a processing device of the experimentation platform, that the first event type does not exist in a configuration associated with the feature; The method further includes, in response to the determining, generating the first event type in the configuration, generating and providing a graphical representation of the first event type for display in a user interface of the experimentation platform, and tracking the first event type on the experimentation platform.

Abstract: Disclosed are a method and apparatus for limiting the number of results returned by a data store in response to a query. Upon receiving an initial query, the data store returns a page of results that includes a subset of the data items within the data store satisfying the conditions of the query. The data store also provides a marker indicating the extent of the set of data items. If a subsequent query that requests additional results which satisfy the same query conditions and that includes the marker is received, the data store returns a page of results that includes a subset of data items that are disjoint from the initial subset, and provides an updated marker which indicates the extent of the union of the initial and subsequent subsets. If still further results are desired from the data store, an additional query containing the updated marker may be submitted.

Abstract: The embodiments of the present application disclose a data processing method and system based on cloud storage. The method includes: a cloud management device receiving a data query request sent by a client via a cloud work device, wherein the data query request is used to request for querying media data that has been stored in a cloud domain, the cloud work device is a default storage cloud domain of an IP camera; the cloud management device querying whether the media data collected by the IP camera is stored in a cloud backup device according to the data query request; and if the cloud management device determines that the media data of the IP camera is stored in the cloud backup device according to the data query request, pushing an address of the media data to the cloud work device, wherein the address of the media data is used for the client to request for querying the media data from the cloud backup device.

Abstract: A computer-implemented method includes providing a fixed portion of a data model, uploading external files to an extended portion of the data model, matching at least some parts of the external files to the fixed portions of the data model, and using data from both the fixed and extended portions of the data model together. A computer-implemented method includes receiving a query from a user to a data model that includes a stored subject area portion and a stored extended subject area portion, accessing at least one storage to retrieve the subject area portion and the extended subject area portion, joining relevant portions of the subject area and extended subject area, extracting answers to the query from the joined portions, and reporting the answers to the user.

Abstract: Techniques are provided for managing snapshot volume trees in a snapshot-enabled data storage system. A snapshot management system is configured to maintain a snapshot volume tree for a storage volume of a storage system, wherein the snapshot volume tree comprises a data structure which comprises a plurality of snapshot volume nodes corresponding to respective ones of (i) a root volume and (ii) multiple snapshots related directly or indirectly to the root volume, wherein the snapshot volume nodes comprise respective generation times which denote times that the respective snapshot volume nodes were created. The generation times are used in conjunction with write times of data items that are written to the snapshot volume nodes to manage snapshot reading and deletion operations.

Abstract: Each data stream in a backup job is individually tracked by data agent(s) and media agent(s) in its path, generating performance data packets in-process and merging them into the processed data stream. The data stream thus incrementally accumulates performance data packets from any number of successive backup processes. The in-process tracking also captures hierarchical relationships among backup processes and in-process subtending tasks, so that the resulting performance report can depict parent and child operations. The hierarchical relationships are embedded into the performance data packets and may be analyzed by parsing the data stream. The media agent transfers the data packets belonging to the secondary copy to secondary storage. The media agent analyzes the performance data packets in the data stream and generates a performance report, which covers the data stream from source to destination, based on the accumulated information carried by the performance data packets.