Abstract: Embodiments of the present invention provide methods, computer program products, and systems for web link quality analysis. Embodiments of the present invention can be used to receive a first indication that a web link has been accessed by a first device and record one or more resources of the web link and actions taken on the one or more resources of the web link and generate a score for the web link based on one or more similar web links to the web link and then displaying the score associated with the web link. Embodiments of the present invention can be used to generate a second score for the web link based on actions taken on the web link and an amount of accessed resources of the one or more resources of the web link and generate a display of the second score associated with the web link.

Abstract: In embodiments, systems and methods may involve using a platform as disclosed herein for applications described herein where the systems and methods involve receiving a dataset in an analytic platform, the dataset including fact data and dimension data for a plurality of distinct product categories. It may also involve storing the data in a flexible hierarchy, the hierarchy allowing the temporary fixing of data along a dimension and flexible querying along other dimensions of the data. It may also involve pre-aggregating certain combinations of data to facilitate rapid querying, the pre-aggregation based on the nature of common queries. It may also involve facilitating the presentation of a cross-category view of an analytic query of the dataset. In embodiments, the temporarily fixed dimension can be rendered flexible upon an action by the user.

Abstract: An optimized fact checking system analyzes and determines the factual accuracy of information and/or characterizes the information by comparing the information with source information. The optimized fact checking system automatically monitors information, processes the information, fact checks the information in an optimized manner and/or provides a status of the information. In some embodiments, the optimized fact checking system generates, aggregates, and/or summarizes content.

Abstract: Some implementations generate multiple views of a combined data graph from disparate data graph sources in two phases. A first phase may convert each source data graph into a reconciled data graph and a second phase may generate a combined data graph from the various reconciled data graphs. For example, an example method includes generating a reconciled data graph for each of a plurality of source data graphs, the reconciled data graphs being generated responsive to at least one update to the respective source data graphs, determining selected sources identified by a graph view file, the selected sources being a subset of the plurality of sources represented by the source data graphs, and generating a combined data graph using the reconciled data graphs that correspond with the selected sources.

Abstract: A technique for performing deduplication on compressed data in a file system operates inline with storage requests, e.g., prior to writing compressed data specified in those storage requests to persistent file system structures. As requests to write data arrive, the file system compares those data with data already stored in the file system. If a match is found, metadata structures are written but compression and file system storage of the newly arrived data is avoided.

Abstract: A knowledge data management system (KDMS) implements data refinement orchestration, resolution, and refinement to provide a reusable and generic solution to ingest and link data via relationships and properties when constructing a knowledge graph. The KDMS thus operates to break down existing data storage silos by normalizing and integrating data with a uniform semantic schema, which results in more accurate and faster knowledge graph construction.

Abstract: Disclosed are some examples of database systems, methods, and computer program products for processing log files. In some implementations, a server of a database system accesses a metadata file indicating algorithms that can be applied to data of log files. The server generates customer-facing log files using the log file and metadata file. The customer-facing log files include new data derived from using the algorithms and the data of the log files.

Abstract: A method, system, and computer program product for management of large multi-database installations. The method form commences by analyzing a multiple database installation to determine a set of candidate upgrade operations to apply to individual instances of heterogeneous databases in the multiple database installation, and then scheduling an order in which order to apply individual operations from among the set of candidate upgrade operations. In exemplary operation, the candidate upgrade operations comprise database version upgrades, database stack upgrades, and/or database listener upgrades. Some embodiments exploit homogeneity and/or groupings in order to parallelize performance of various upgrade operations during mass upgrade of multi-database installations. In addition to performing upgrade operations in the form of database version upgrades, database stack upgrades, and/or database listener upgrades, the installation can be upgraded by receiving application upgrades.

Abstract: In accordance with disclosed embodiments, there are provided methods, systems, and apparatuses for performing time-partitioned collaborative filtering in an on-demand service environment including, for example, receiving as input, a plurality of access requests for data stored within the host organization and a corresponding plurality of actions for the data to which access is requested; accessing an input table having a time field, action field, item field, and agent field therein; recording time data and agent data for each of the received plurality of access requests and the corresponding plurality of actions; recording an item within the item field and an action within the action field for each of the received plurality of access requests and the corresponding plurality of actions based on the action performed on an item of the data to which access is requested; and analyzing the input table to generate one or more pairs of first actions and items to second actions and items and a time based score for eac

Abstract: A computing device includes a storage device in which a program for operating a file system is stored, and a processor configured to execute the program stored in the storage device wherein, in response to execution of the program, if a write request upon a file to be stored in the storage device is generated, the processor calculates, based on one or more file write methods included in the file system, an overhead of each of the one or more write methods, selects a file write method having the smallest overhead among the one or more file write methods, and records the file in the storage device by using the selected file write method, the one or more file write methods include slack space recycling (SSR), internal-segment-copying-based garbage collection and external-segment-copying-based garbage collection.

Abstract: A method, system and computer program product are disclosed for searching for data. In one embodiment, the invention provides a method comprising identifying a query and a search scope including a set of specified entities; and for each of these entities, estimating a number of documents that would be identified in a search through the entity to answer the query. On the basis of this estimating, a subset of the entities is formed. The query and this subset of entities are sent to a search engine to search the subset of entities to answer the query. In one embodiment, the estimating includes collecting statistical information from queries to build up a historical cache using heuristics or machine learning techniques, wherein the query includes a key word and a scope, and the historical cache contains a maximum number of returned results for an entity given the queries executed.

Abstract: Methods, systems and computer program products are provided for summarizing user activity associated with media content by accessing a taste profile containing a representation of media content activity corresponding to at least one of a plurality of items, generating at least one statistic corresponding to the media content activity, and generating a taste profile attribute by using the at least one statistic.

Abstract: A computer-implemented method for generating a plurality of data query suggestions is described. The method includes receiving a textual input in a user interface of a software application implementing a plurality of business processes and determining a query context for the textual input. The method also includes computing a plurality of ranked numerical scores based on the query context in which the ranked numerical scores are computed using information obtained from a plurality of usage metrics associated with the query context and determining, using the plurality of ranked numerical scores, a plurality of candidate data combinations. The method also includes ordering the plurality of candidate data combinations according to the plurality of ranked numerical scores and generating at least one data suggestion using the ordered plurality of candidate data combinations and providing the at least one data suggestion in the user interface.

Abstract: A first cloud is provided with a first abstraction layer between a first instance of an application and a first set of different storage types. A second cloud, remote from the first cloud, is provided with a second abstraction layer between a second instance of the application and a second set of different storage types. A replication protection appliance (RPA) is connected between the first and second abstraction layers. The first abstraction layer intercepts a write command from the first instance of the application to storage of a particular type among the first set of different storage types. The first abstraction layer sends a copy of the write command to the RPA. The RPA replicates the write command to the second abstraction layer for the second abstraction layer to send to corresponding storage of the particular type among the second set of different storage types.

Abstract: Systems and techniques for graph-driven authoring in productivity applications can include using context of a user of a productivity application, the existing content of the user's document or an expression input with a command for finding relevant documents, and a date/time to obtain a set of results of relevant documents. The relevant documents include documents associated with people known to the user that contain content relevant to the topic(s) and/or entities from the context and that are current.

Abstract: A computer-implemented method for reconciling records from a plurality of data sets includes receiving a first data set from a left data source, retrieving data from the first data set, and placing the retrieved data from the first data set into a first abstract record from the left data source. The method also includes receiving a second data set from a right data source, retrieving data from the second data set, and placing the retrieved data from the second data set into a second abstract record from the right data source. The computer-implemented method also includes comparing the first abstract record and the second abstract record.

Abstract: Described herein are systems and methods for aggregating, parsing, and annotating regulatory context for use in resolving transactional inquiries. In one embodiment, a method comprises: aggregating documents from a plurality of data sources and storing the aggregated documents in a document database; selecting a first document from the document database; extracting regulatory content from the first document; parsing the regulatory content into a structured data object; identifying a substantively-relevant portion of the regulatory content in the structured data object; generating an annotation associated with the substantively-relevant portion; storing the generated annotation in an annotation database; and generating a domain-specific data structure for resolving transactional inquiries based on the annotation database.

Abstract: The method, system and a computer program and a computer product for managing workers and documents is provided. The method includes storing industry representations and a list of workers with data related to the workers, linking the industry representations to the workers and selecting at least one worker from based on the industry representations for that worker. The method also includes scheduling workers to a job based on whether they have all of the required industry representations. In addition, the method includes uploading industry representations and bar code scanning industry representations into the database. The method further includes dispatching said industry representations to other users and automatically mapping fields of the dispatched data in the destination database. In addition, the method includes selectively encrypting only sensitive fields in data transmission between two entities.

Abstract: Systems and methods for inferring schedule patterns using electronic activities of node profiles are disclosed.

Abstract: A system, method and computer program product for conducting questions and answers with deferred type evaluation based on any corpus of data. The method includes processing a query including waiting until a “Type” (i.e. a descriptor) is determined AND a candidate answer is provided. Then, a search is conducted to look (search) for evidence that the candidate answer has the required Lexical Answer Type (e.g., as determined by a matching function that can leverage a parser, a semantic interpreter and/or a simple pattern matcher). Prior to or during candidate answer evaluation, a process is provided for extracting and storing collections of entity-type pairs from semi-structured text documents. During QA processing and candidate answer scoring, a process is implemented to match the query LAT against the lexical type of each provided candidate answer and generate a score judging a degree of match.