Abstract: Systems and methods for automatic error rejection are provided. Systems and methods described herein bypass the creation of a staging table at the outset and, instead, attempt a direct merge from a source data location to a target data location. In the event that the merge fails, then a temporary/staging table can be loaded where errors can be logged, validations can be performed, and erroneous data can be corrected.

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: Technology for logging application usage based on monitoring of read or change operations on database elements and then using the information from log data to determine application usage states (for example, active, inactive) in time.

Abstract: Disclosed are methods and systems for a data discovery solution which harnesses the power of crowdsourcing to improve automated data curation. This is done in two complimentary ways: (a) large scale collective curation through anonymized multi-tenancy, and (b) and through internet scale matching and validation gaming platform using mobile application game. The result is the most extensive library of semantic-technical mappings of the enterprise data, which are immediately at hand to provide a fast, easy and a good understanding of the enterprise data. The data discovery solution forms a gateway for governing and unlocking value from big data.

Abstract: Embodiments may provide a document system that receives a responsiveness call from a user through the task/queue framework regarding a machine call document. Theses responsiveness calls may be used to refining the scoring algorithm used by the document system of to generate a desired confidence score for the document system.

Abstract: A method of automatically generating content summaries for topics includes receiving a taxonomy for a concept and a text corpus. The method further includes generating an annotated dataset having term annotations corresponding to the concept from the text corpus based on the taxonomy, parsing the annotated dataset into a custom generated document object having a structured layout, determining features for the term annotations, and extracting snippets from the custom generated document object, where each of the snippets corresponds to a section of the custom generated document object. The method further includes scoring the snippets based on the features such that each of the snippets corresponds to a score, filtering one or more snippets from the snippets when one or more snippet filtering conditions is met, ranking the snippets into an ordered list for the concept based on the score, and providing, to a user computing device, the ordered list.

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: Systems and methods for generating concept-based search summaries from a plurality of documents are provided. In one embodiment, a system may include interfaces to receive information identifying a meaning taxonomy including a normalized term and a search query including search terms. The system may be configured to identify documents relating to the search terms and normalized terms and display a concept-based summary of the documents, the summary including a syntactic structure associated with the normalized terms and search terms. In another embodiment, a method includes receiving a meaning taxonomy including normalized terms and search terms, identifying at least one document including the search terms and syntactic structures associated with the normalized terms, and display a search summary including the search terms and syntactic structures.

Abstract: Systems and methods for dynamic data processing and graphical user interface generation are provided. A system may include a network interface configured to request and receive, via a computer network from one or more sources in remote locations, electronic record data associated with an individual; an input filter configured to identify structured and unstructured information in the electronic record data; a data selector configured to analyze the structured and unstructured information; a timeline generator configured to generate, based on the analysis, interface information for displaying an interactive graphical user interface configured to present an event timeline of events in the electronic record data; and a display configured to provide the interactive graphical user interface based on the generated interface information.

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: A system according to certain aspects improves the process of data restoration and application recovery operations. The system can back up primary data based on network path information associated with a client computing device. When the primary data becomes corrupted or unavailable, a previously backed up copy of the primary data may be used as the primary data to achieve instant application recovery. For example, when a portion of the primary data is requested by a user or an application, the system may identify a corresponding portion in the backed up copy of the primary data and provide the identified portion to the user or the application in a manner transparent to the user or the application. Alternatively, the application running on the client computing device may send a request for the backup copy of the primary data to the secondary storage device upon determining that the requested data is not available.

Abstract: The present teaching relates to a method, system, and programming for content personalization. A request is received from a user to obtain a content item. Information indicative of a literacy-level of the user is obtained and the content item to be provided to the user is retrieved. The content item is modified by updating information included in the content item based on the literacy-level of the user to generate an updated content item. The updated content item is provided to the user in response to the request.

Abstract: A method for execution by one or more processing modules of one or more computing devices of a dispersed storage network (DSN). The method includes performing multiple splits in a single operation with a dispersed lockless concurrent index (DLCI) backed by a distributed transaction protocol by determining how many nodes n are required to hold data object entries, adding the n nodes to a distributed transaction, and when a parent node does not require a cascading split, adding it to the distributed transaction, and when the parent node needs to be split, recursively applying the determining and adding steps to the parent node until reaching a node that does not need to be split or is a root node of the DLCI.

Abstract: A social networking system maintains characteristics with its users, with various characteristics, such as age, specified by the users (i.e., “asserted characteristics”). The social networking system selects content for a user based at least in part on the characteristics associated with the user. To account for potential inaccuracies in an asserted age of a user, the social networking system clusters users based on ages of other users connected to users. The online system receives verified ages for users in a cluster from a trusted third party system that maintains more accurate characteristics for users than the social networking system. By comparing the asserted ages for users in the cluster to the verified ages for users in the cluster, the social networking system determines an accuracy of the asserted ages for users in the cluster. The accuracy may be used when selecting content for the users.

Abstract: A method for grouping of multiple tabs in a web browser includes displaying a plurality of tabs by the web browser. Each tab has separate webpage content associated therewith. Two or more webpages are grouped into at least one category based on semantics of corresponding webpage content. Two or more tabs associated with the two or more grouped webpages are merged into a single tab. The single tab represents the grouped webpages. An aggregated view of contents associated with the grouped webpages is generated and displayed in a single browser window associated with the single tab. The aggregated view has two or more portions. Each portion of the aggregated view concurrently displays content of a corresponding grouped webpage.

Abstract: In a production environment, an entry is logged in a log journal to represent a read operation on a record of a file. A problematic transaction in a batch job is selected and set of operations performed by the problematic transaction is intercepted. The set includes a combination of read, write, update, delete operations, and operations that use external resources. A window of entries is determined in the log journal where the entry is a beginning entry in the window and an ending entry is a last entry captured in the log journal before detecting the error. From the window, those entries are filtered that correspond to the record. A final value of the record is copied from the production environment to a development environment and rolled back in the development environment to an initial value stored in the beginning entry. The problematic transaction is performed in the development environment.

Abstract: A learning-to-rank method based on reinforcement learning, including obtaining, by a server, a historical search word, and obtaining M documents corresponding to the historical search word; ranking, by the server, the M documents to obtain a target document ranking list; obtaining, by the server, a ranking effect evaluation value of the target document ranking list; using, by the server, the historical search word, the M documents, the target document ranking list, and the ranking effect evaluation value as a training sample, and adding the training sample into a training sample set.

Abstract: A framework for implementing just-in-time decision support analytics within a business application deployment are provided. In one set of embodiments, the framework enables an application user to be presented with analytics that are in-context and in-place with respect to an operational workflow carried out by the user, where “in-context” means that the presented analytics are directly relevant to, and tailored for, the specific business context of the user's operational workflow, and “in-place” means that the analytics are displayed to the user within the same UI/application used to execute the operational workflow, and at the same time the workflow is actually executed. These characteristics advantageously ensure that the user is provided with the insights he/she needs to make confident business decisions and facilitates real-time decision making for time-critical operations.

Abstract: Techniques are presented herein for efficient query processing and data change propagation at a secondary database system. The techniques involve determining execution costs for executing a query at a primary DBMS and for executing the query at an offload DBMS. The cost for executing the query at the offload DBMS includes the cost of propagating changes to database objects required by the query to the offload DBMS. Based on the execution cost, the query is sent to either the primary DBMS or the offload DBMS.

Abstract: Machine learning based method for generating personalized query suggestions is described. Different users may have different search intent even when they are inputting the same search query. The technical problem of personalizing search query suggestions produced by a machine learning model is addressed by extending the sequence to sequence machine learning model framework to be able to take into consideration additional, personalized features of the user, such as, e.g., profile industry, language, geographic location, etc. This methodology includes an offline model training framework as well as an online serving framework.