Abstract: A machine may form all or part of a network-based system configured to provide media service to one or more user devices. The machine may be configured to define a station library within a larger collection of media files. In particular, the machine may access metadata that describes a seed that forms the basis on which the station library is to be defined. The machine may determine a genre composition for the station library based on the metadata. The machine may generate a list of media files from the metadata based on a relevance of each media file to the station library. The machine may determine the relevance of each media file based on a similarity of the media file to the genre composition of the station library as well as a comparison of metadata describing the media file to the accessed metadata that describes the seed.

Abstract: Embodiments of the present invention provide methods, program products, and systems for locating an unknown location by searching known geographical indicators. Embodiments of the present invention can be used to receive a search query for an unknown location. The search query can comprise one or more symbols denoting geographical indicators representative of the unknown location. Embodiments of the present invention can be used to locate unknown locations by searching for a location that matches the one or more symbols representative of the unknown location and returning results that match the received search query.

Abstract: Character string analysis and classification can be useful in a variety of contexts, including examining web URLs to determine whether a URL indicates that a user is attempting to take a particular action on an electronic service platform. In some cases, however, URLs or other string data may have “noise” in them, such as random sub-strings, that prevents a string from being properly classified. Sometimes it may be useful to classify a string into a category, however, and it may be important to do this quickly (e.g. during an active user interaction with a website). Learning tables allowing for O(1) lookup can be established by tokenizing strings and then using probability analysis to eliminate tokens that appear an insufficient number of times. This allows for quick and accurate string classification, which may be useful in numerous circumstances.

Abstract: An overlay optimizer can be configured to accelerate the moving of files from an overlay and to atomically move files from the overlay. To accelerate the moving of files from the overlay, the overlay optimizer can continuously monitor the consumption of the overlay. If the consumption exceeds an optimized threshold, the overlay optimizer can cause the file system cache to be invalidated to thereby release handles to any closed files that are still cached. To move files atomically from the overlay, the overlay optimizer can be configured to handle attempts to open a file by determining whether the file is in the process of being moved from the overlay. If so, the overlay optimizer can detect which stage the move process has reached and can dynamically adapt the move process to enable the attempt to open the file to be completed successfully and in a consistent manner.

Abstract: Techniques are described herein for isolating a network stack in a multitenant container DBMS. A first and second pluggable database are established within a container database. A first network stack is assigned to the first pluggable database and a second network stack is assigned to the second pluggable database. A request is received to connect to the first pluggable database and a connection is established to the first pluggable database using the first network stack. A request is received to connect to the second pluggable database and a connection is established to the second pluggable database using the second network stack.

Abstract: A system may receive a sensor dataset representing an environment and use the dataset to create or update a map. In creating or updating the map, the system may determine an object classification of one or more detected objects and only selectively incorporate data into the map based at least in part on the classification. The map may be associated with the classification (or semantic) information of the objects, as well as weights based on the classification. Similarly, datasets with selected classes of data removed may be used for system localization. Further, the system may determine an object track of the objects. When updating the map, voxels in a voxel space may indicate an occupied voxel based on a threshold number of observances. The object track and clean map can then be used for controlling an autonomous vehicle.

Abstract: A method includes receiving a first set of documents that correspond to data discovery documents. The method further includes generating a map of terms and words based on the first set of documents, the map of terms and words corresponding to concepts. The method further includes receiving from a first user an initial document relating to a data discovery issue. The method further includes requesting the user to provide an identification of at least one of an initial name of a first person, an initial date, and an initial keyword related to the legal issue. The method further includes generating at least one of a similar name of a second person, a similar date, and a similar keyword based on the map of terms and words. The method further includes identifying a review document based on the review document including at least one of the similar name of the second person, the similar date, and the similar keyword.

Abstract: Techniques for balancing data compression and read performance of data chunks of a storage system are described herein. According to one embodiment, similar data chunks are identified based on sketches of a plurality of data chunks stored in the storage system. A first portion of the similar data chunks as a first group is associated with a first storage area. The first storage area is associated with one or more data chunks that are dissimilar to the first group but are likely accessed together. The first group of the similar data chunks and its associated dissimilar data chunks are compressed and stored in the first storage area.

Abstract: Methods, systems and computer program products implementing data aggregation using distributed Web scraping are disclosed. A mobile device can scrape one or more target sites to collect data from accounts of a particular user. The scraping can occur under scraping conditions as specified by the user. The scraping conditions can include conditions based on time, power, bandwidth, usage, or any combination of the above. The scraping conditions can ensure that the scraping occurs at time that is most convenient to the user, e.g., when sufficient bandwidth is available to the mobile device or the mobile device is not performing other tasks. The mobile device can upload the scraped data to a data aggregation server under submission conditions as specified by the user. The data aggregation server can aggregate the scraped data, enrich the aggregated data, and provide the enriched data to the user through Web access.

Abstract: Systems and methods are disclosed for sampling a set of data using inverted indexes in response to a user interaction with a user interface. Based on the user interaction with a displayed grouping of a summarization of a set of data, the system uses filter criteria corresponding to the grouping to review one or more inverted indexes and identify a sample of events for analysis. The system then accesses the sample of events and provides the results for display to a user.

Abstract: In an embodiment, a database platform receives query instructions for a query on a database, where the query instructions include instructions for a geospatial-function join that includes a geospatial-function predicate. The database platform generates a query-execution plan based on the query instructions, including replacing the geospatial-function join with one or more interval joins that each include one or more predicates implied by the geospatial-function predicate. The database platform inserts, into the query-execution plan above the one or more interval joins, a filter operator that applies the geospatial-function predicate. The database platform obtains results of the query at least in part by executing the query-execution plan, and returns the query results in response to the query.

Abstract: A computing device is described that includes a user interface to receive contribution data of an enterprise and to display a sheet of the contribution data, an annotation interface module to receive one or more annotations for objects of the contribution data, a planning application to retrieve a context definition defining a context in which each of the annotations was received, and an annotation table to store each of the annotations and the context definition corresponding to each of the annotations. The user interface may be configured to output the annotations. The computing device may improve the collaborative process of developing multidimensional data. Users of the computing device may quickly and easily share their thoughts, questions, and comments about the data through annotations. Recreating an annotated sheet may be done efficiently by storing relevant coordinates.

Abstract: A method, system, and computer program product for preprocessing raw data based on risk identifier tags are presented. A first set of risk identifier tags based on risk assessment data is generated, in which the risk assessment data includes a set of indicators of operational risk of an entity. At least one risk identifier tag of the first set of risk identifier tags matches content of a data item within a raw dataset is determined. The at least one risk identifier tag is mapped to the data item. The mapped data item is provided to a risk assessment system to determine operational risk rating of the entity.

Abstract: Disclosed is a system for managing reads and writes to a sorted list of parameter values held in a write subsystem. Each parameter value is changeable and associated with a user. A read subsystem holds a persistent copy of the parameter values, which may be inconsistent with the write system values due to pending updates of one or more of the parameter values in the write subsystem. The system batch updates parameter values to the persistent copy from the write subsystem, but in the event of a read request, (1) the system determines whether the requested parameter value is inconsistent with the persistent copy; and (2) if so, produces a real-time update of the requested parameter value in the persistent copy without waiting for a batched update for the requested parameter value.

Abstract: Systems and methods are disclosed for locating data and categorizing a set of data using inverted indexes. The inverted indexes include token entries and field-value pair entries, as well as event references that correspond to events that include raw machine data. Using filter criteria, the inverted indexes are identified. In turn, the inverted indexes are used to identify a set of events that satisfy the filter criteria. The identified set of events are categorized based on categorization criteria and provided for display to a user.

Abstract: According to an aspect, concept identification in a question answering system includes receiving, at a computer processor, a text span as a subject of a search query. An aspect also includes searching a title-oriented document (TOD) corpus for the text span, and matching, by the computer processor, concepts in title-oriented documents TODs of the TOD corpus to the span of text. The matching of the concepts includes decomposing the title-oriented documents into a series of passages, scoring the passages identified as possible matches, and merging and ranking results of the scoring to produce final scores for each concept associated with the title-oriented documents.

Abstract: Tagging a resource in a network with a tag belonging to a tag type includes creating, using a processor, a tag and relating the tag to the resource, categorizing the tag into a tag type, registering the tag type in a registry, associating tag type attributes to the tag type, associating a subset of the tag type attributes of the tag type to the tag, and associating a tag type attribute value to each member of the subset of the tag type attributes of the tag. The tag, the tag type, the subset of tag type attributes of the tag, and associated tag type attribute values are stored. Using the processor, a dynamically linkable executable program logic is triggered based on the subset of tag type attributes and the tag type attribute values.

Abstract: A method includes retrieving, by executing a scored content generator, a web content collection. The web content collection includes first metadata associated with the web content collection as a whole, content items, and second metadata associated with the content items. The second metadata also includes metrics characterizing (i) the content items and (ii) at least a portion of the web content collection. Executing a scored content generator, and based on the metrics, a content item performance score is calculated for each of the retrieved content items. Each content item performance score characterizes a level of user interaction with the content items. Data encapsulating the content item performance scores is provided to a first computing system.

Abstract: Systems and methods for repairing cross-linked biometric records receive a set of biometric records. Each biometric record contains at least one biometric sample in a non-textual modality. One or more of the biometric records in the set of biometric records is potentially a cross-linked biometric record having at least two biometric samples that are associated with different individuals. Crosslink resolution is performed on the set of biometric records by searching for a match between a biometric sample in a given non-textual modality of a given biometric record with each biometric sample of the same given non-textual modality in each of the other biometric records in the set of biometric records. During the crosslink resolution, biometric sample may be removed from one biometric record and merged with another biometric record.

Abstract: Determining a characteristic of a configuration file that is used to discover configuration files in a target machine, a computer identifies, using information associated with a configuration item of a machine, a candidate configuration file related to the configuration item of the machine, from among a plurality of files from the machine. The computer extracts a value of a feature of the candidate configuration file and aggregates the candidate configuration file with a second candidate configuration file related to the same configuration item identified from among a plurality of files from a second machine, based on the extracted value. The computer then determines a configuration file related to the configuration item from among the aggregated candidate configuration files based on a result of the aggregation, and determines a characteristic of the configuration file related to the configuration item.