Abstract: An example method includes receiving text from a plurality of documents, segmenting text received text of the plurality of documents, calculating a frequency statistic for each segment of each document, determining segments of potential interest of each document based on calculated frequency statistic, calculating distances between each document of the plurality of documents based on a text metric, and storing segments of potential interest of each document and the distances in a search database. The method may further include receiving a search query and performing a search of information contained in the search database, partitioning documents of search results using the distances, for each partition, determining labels of segments of potential interest for documents of that particular partition, the labels being determined based on a plurality of frequency statistics, and providing determined labels of segments of potential interest for documents of each partition.

Abstract: A system and method for placing candidate spines into a display with the aid of a digital computer is provided. Candidate spines each having two or more clusters of documents are generated. Each cluster is associated with one or more concept scores for concepts identified within the documents of that cluster. A concept score vector is generated for each candidate spine by aggregating as spine concept scores, the cluster concept scores of the clusters associated with that candidate spine. The candidate spines are ordered by a number of the clusters associated with each candidate spine. Those candidate spines that are sufficiently dissimilar from the other candidate spines are identified based on the candidate spine concept score vectors. The sufficiently dissimilar candidate spines are placed in a display and at least a portion of the unplaced candidate spines are placed in relation to the placed candidate spines.

Abstract: A method, system, and computer program product for computer-aided deployment of mobile system apps for accessing enterprise applications. A form field service request originates from a non-native system. The service request comprises at least one form field identifier. The native computer system processes the service request using the form field identifier to identify corresponding forms stored at locations accessible to the native system (e.g., in a database engine). The native computer system processes the service request to map the form field to business logic operations and/or to other actions before delivering the service request to a native application that is configured to process the form field using native business logic. The business logic within the native application produces results from the native application which in turn are sent from the native application to the non-native system. The non-native system comprises any number of mobile devices, smart phones, and/or tablet devices.

Abstract: Architecture that enables search engines to meet user expectations for search results (e.g., questions-answers) by improving on result consistency. This is attained by declining to answer queries when it is known by the system that the system is unable to answer more or equivalently prominent queries in the same query class in a vast majority of cases. To achieve consistency, queries are categorized into classes and then the queries of a specific class are segmented into clusters. The answer density in each cluster is then computed to determine the consistency of that class of queries. Clusters with a relatively low answer density are then suppressed to improve consistency for the user.

Abstract: Identifying influencers in a computer network by adjusting influence weights of corresponding participants of a computer network, where the influence weights relate to a topic, where each of the influence weights is adjusted in accordance with a predefined adjustment function, and where the predefined adjustment function uses a) the influence weight of any of the participants that disseminated content via the computer network, where the content relates to the participant whose influence weight is being adjusted, b) a participant topic similarity value of any of the participants that disseminated the content, where the participant topic similarity value relates to the topic, and c) a relationship topic similarity value of any relationship between the participants that disseminated the content and the participant whose influence weight is being adjusted, where the relationship topic similarity value relates to the topic, and then ranking the participants by their influence weights.

Abstract: A technique relates to flash-optimized data layout of a dataset for queries. Selection columns are stored in flash memory according to a selection optimized layout, where the selection optimized layout is configured to optimize predicate matching and data skipping. The selection optimized layout, for each selection column, is formed by storing a selection column dictionary filled with unique data values in a given selection column, where the unique data values are stored in sorted order in the selection column dictionary. Row position designations are stored corresponding to each row position that the unique data values are present within the given selection column, without duplicating storage of any of the unique data values that occur more than once in the given selection column.

Abstract: Data matches are calculated in a data deduplication system by matching input and repository digests using a digest based data matching process where the reference digests corresponding to a repository interval of data identified as similar to an input interval of data are loaded into two data structures. The two data structures include a sequential buffer containing digests in a sequence of occurrence in the data and a search structure for searching of the reference digests matching a version digest.

Abstract: Certain implementations of the disclosed technology include systems and methods for external linking based on hierarchal level weightings. The method may include associating external query data having one or more query field values with a record in a linked hierarchical database. The linked hierarchical database may include a plurality of records, each record having a record identifier and representing an entity in a hierarchy, each record associated with a hierarchy level, each record including one or more fields, each field configured to contain a field value. The associating may include receiving the external query data, wherein the external query data includes one or more search values; and identifying, from the plurality of records in the linked hierarchical database, one or more matched fields having field values that at least partially match the one or more search values.

Abstract: Certain implementations of the disclosed technology include systems and methods for internal co-convergence using clustering when there is hierarchy in the data structure. A method is included for clustering hierarchical database records into a first set of clusters having corresponding first cluster identifications (IDs), each hierarchical database record including one or more field values, the clustering based at least in part on determining similarity among corresponding field values of the hierarchical database records. The method includes receiving parent-child hierarchical relationship information for the hierarchical database records, re-clustering at least a portion of the hierarchical database records into a second set of clusters having corresponding second cluster IDs, the re-clustering based at least in part on the received parent-child hierarchical relationship information, and outputting hierarchical database record information, based at least in part on the re-clustering.

Abstract: Time-related properties may be modeled independent of a base object. Rather than storing time properties with the object, they may be stored independently. A given object may be stored once, even if it has a recurrent time property. The description of a “meeting,” for example, may be stored once. Each occurrence of that object over time may be stored in a “timeslot” (object <foo> occurs at time ‘t’ on day ‘d’). If it is a recurring property, recurrence information may be stored independently. “Exception” information may be stored independently as well.

Abstract: Embodiments include methods, systems and computer program products a for offloading multiple processing operations to an accelerator includes receiving, by a processing device, a database query from an application. The method also includes performing analysis on the database query and selecting an accelerator template from a plurality of accelerator templates based on the analysis of the database query. The method further includes transmitting an indication of the accelerator template to the accelerator and executing at least a portion of the database query on the accelerator.

Abstract: A system and method for spatial data processing are described. Path bundle data packages from a viewing device are accessed and processed. The path bundle data packages identify a user interaction of the viewing device with an augmented reality content relative to and based on a physical object captured by the viewing device. The path bundle data packages are generated based on the sensor data using a data model comprising a data header and a data payload. The data header comprises a contextual header having data identifying the viewing device and a user of the viewing device. A path header having data identifies the path of the interaction with the augmented reality content. A sensor header having data identifies the plurality of sensors. The data payload comprises dynamically sized sampling data from the sensor data. The path bundle data packages are normalized and aggregated. Analytics computation is performed on the normalized and aggregated path bundle data packages.

Abstract: Disclosed are methods and systems for handling social media inputs in an existing multi-channel converged CSTA based infrastructure. The methods and systems may be characterized by determination of priority and potential churn index of the inputs received from sentiment analysis module based on predetermined parameters. The inputs are translated into qualifier by using predetermined combinations of severity index and anticipated churn index, which are then adapted into the CSTA specifications. Thereafter, the method and system includes determination of routing of the adapted posts for further treatment using inbound mechanism or outbound mechanism. Specifically, the routing of the inbound post is carried out leveraging the “one number service” of the CSTA based infrastructure.

Abstract: Aspects of the subject matter described herein relate to backups and change journals. In aspects, a change journal is read to determine changes that have occurred to objects of a file system. From these changes a data structure is created to capture path information and collect changes for each object. Where the data structure is insufficient to identify a complete path, the live file system is consulted. After the data structure is complete, a data protection engine uses the data structure to update a catalog at least to provide the capability to view the namespace of the protected objects at one or more times covered by the catalog.

Abstract: A system and method for querying a database is disclosed. Database tables are represented as nodes in a model. Each node is associated with at least one leaf. The nodes can be interconnected with one another. A model input is received by a server from a client device, the model input including a starting node, one or more leaves, and optionally one or more filters. A query is executed against a database based on the model input. A subsequent query can be generated by selecting a result of the first query. Also disclosed is a technique for cancelling queries.

Abstract: The present invention provides a method for providing augmented product specifications based on user reviews. The method obtains input data of specifications and user reviews on a plurality of products, each specification including at least a pair of a feature and a feature-value of the product. The method concatenates the user reviews of the products to form product-documents, each product-document corresponding to the concatenated user reviews of a product. The method further employs a topic model to process the input data and learn topic distributions in the product-documents and word distributions in topics. The topics include specifications of the products. The topic model is a type of statistical model for discovering topics that occur in a collection of product-documents. Based on the topic model, the method can provide augmented specifications including one or more of relevant sentences of the feature-value, feature importance information, and product-specific words of the product.

Abstract: A method of indicating the popularity of the subject of a search query comprising receiving a search query from a user, the search query being received by a search server; determining whether the search query is likely to be related to a particular thing; obtaining popularity information for the particular thing; and, transmitting an indicator of the popularity information to a user computer for display. Some embodiments may also include targeted information about the search query subject, including a map showing the search query subject's location, the location of similar things in the same region as the search query subject, one or more advertisements, and the like. The targeted information and/or the popularity information indicator may be displayed with, or separate from search results associated with the search query.

Abstract: Disclosed are systems, computer-readable mediums, and methods for representing text. A document that includes text is received in a first format. A universal text representation of the document is created using a first filter associated with the first format. The universal text representation presents the text and supported non-text data and preserves unsupported data with binding to supported data. The universal text representation is modified based upon input from a user using a program in a what you see is what you get (WYSIWYG) mode. The user can see a location of where the supported data and unsupported data are kept. The modified universal text representation is exported using a second filter associated with a second format. The supported and unsupported non-text data are exported.

Abstract: Architecture having an algorithm that computes visible structures for a user within a distance defined by one or more environmental conditions. An environmental condition such as reduced visibility due to a weather condition such as rain, fog, etc., can be used to define a radius about the user in which possible points of interest (POIs) can be identified as viewable based on current weather visibility data. The altitude of the user is considered when identifying the possible POIs. The user is more likely capable of viewing other structures as POIs when the user is at a higher altitude. If the user is known to be standing on a ridge overlooking a city, this information can be processed by the algorithm to then show more POIs relative to this elevated user location than if the user was at approximately zero altitude. A sight map is generated based on these considerations.

Abstract: A method for browsing a collection of digital images on a soft-copy display comprising: receiving a collection of digital images; interactively user selecting a digital image using a user interface; determining a plurality of subsets of the digital images, wherein each subset shares a common category with the selected digital image; and displaying the subsets of digital images on the soft-copy display, together with the selected digital image.