Abstract: Implementations of the present disclosure include actions of receiving search results that are responsive to the search query, the search results being respectively representative of resources, processing one or more triggering rules based on at least one of the search query and the search results, determining, based on processing the one or more triggering rules, that a set of data records is to be displayed in a search results page with the search results, the set of data records including data records that are specific to the user, determining a display prominence of at least one data record in the set of data records, the display prominence indicating a prominence of the at least one data record when displayed in the search results page, and providing the search results and the set of data records for display, the at least one data record being displayed based on the display prominence.

Abstract: An extract, transform and load (ETL) data construction system provides an extensible, interim platform for transitioning data from a legacy database or other data sources to a target database. The data construction system performs data construction operations which may include creating data that can be used for data transformation in ETL operations. The data construction system provides check-in-check-out procedures for controlling multi-user data access and data editing, and also provides multi-level user access checks.

Abstract: An approach is provided for managing files in an online account. A file access platform causes, at least in part, retrieval of a file associated with a first communication stored in an online account. Next, the file access platform determines whether the file is modified after the retrieval and generates a second communication including a modified version of the file based, at least in part, on the determination. Then, the file access platform causes, at least in part, transmission of the second communication including the modified version to the online account.

Abstract: A smart assistant scans or directs the scanning of a network and clients connected to the network to ensure that the clients will be properly backed up. When the smart assistant detects a change in the network, a client, or both, the smart assistant seeks the approval of a backup administrator to automatically update backup configuration information based on the detected change. If the backup administrator approves the approval request, the smart assistant automatically updates the backup configuration information. If the backup administrator denies the approval request, the smart assistant does not update the backup configuration information.

Abstract: A system and method for a planned migration of service connections from a first database instance to a second database instance in a clustered database. In accordance with an embodiment, a data source and connection pool enable access by a software application to a service on the first database instance. The data source is associated with a parameter specifying a delay-for-planned-draining, and a parameter specifying a planned-draining-period, which are used to rebalance connections when relocating a service. When a service is stopped on the first database instance, the connection pool receives a “service down” event from a notification service, and maintains the connections up to a time corresponding to the delay-for-planned-draining. When a “service up” event is received, the connection pool spreads migration of the connections from the first to second database instance over the planned-draining-period.

Abstract: A method, apparatus, and program product facilitate the management of time domain data in a collaborative petro-technical application environment by associating time domain data in a shared project or repository with a data-specific SRD value. By doing so, when the time domain data is retrieved into a local project or client application for a particular user, the SRD for the time domain data and the SRD for the local project or client application may be used to facilitate conversion of the time domain data for use with the SRD for the local project or client application.

Abstract: A method, system and computer program product for managing work and personal items. Information is received from a user to populate a user profile providing rules to determine a priority for work and personal items to be addressed by the user. Work and personal data sources (e.g., e-mails, social media) are monitored. The content in these monitored data sources are scanned and analyzed for work and personal items to be addressed by the user. These work and personal items are then presented to the user in a prioritized order based on the rules in the user profile. In this manner, the user is able to effectively manage the various work and personal items from various data sources by receiving a prioritized list of work and personal items that need to be addressed based on various factors that the user deems to be important as provided in the user's profile.

Abstract: A method, system and computer program product for managing work and personal items. Information is received from a user to populate a user profile providing rules to determine a priority for work and personal items to be addressed by the user. Work and personal data sources (e.g., e-mails, social media) are monitored. The content in these monitored data sources are scanned and analyzed for work and personal items to be addressed by the user. These work and personal items are then presented to the user in a prioritized order based on the rules in the user profile. In this manner, the user is able to effectively manage the various work and personal items from various data sources by receiving a prioritized list of work and personal items that need to be addressed based on various factors that the user deems to be important as provided in the user's profile.

Abstract: In a system comprising a production environment and a replication environment, a method and program product for dynamically switching from an asynchronous replication policy to a synchronous replication policy. In a system comprising a production environment and a replication environment, a method for dynamically switching from a synchronous replication policy to an asynchronous replication policy.

Abstract: Disclosed are methods, circuits, devices, systems and associated computer executable code for providing facilitating communication between a mobile device application and a content source accessible through a mobile communication network having one or more wireless access points.

Abstract: The various implementations described herein include systems, methods and/or devices used to enable heuristic aware garbage collection in storage systems (e.g., non-volatile data storage systems using one or more flash memory devices). In one aspect, a time parameter (e.g., dwell time) and/or heuristics (e.g., error count, error rate, number of reads, number of times programmed, etc.) are used in a garbage collection scheme. For example, in some implementations, the method of garbage collection for a storage medium in a storage system includes (1) determining a time parameter for a block in the storage medium, and (2) in accordance with a determination that the time parameter for the block is greater than a first threshold time, enabling garbage collection of the block.

Abstract: To synchronize data between a remote database and a local object-graph-and-persistence-framework, a synchronization framework receives messages from the local object-graph-and-persistence-framework indicating that a locally-managed object has been retrieved from a local datastore and instantiated or that the locally-managed object has been created, modified, or deleted. When the synchronization framework determines that the message was instigated by a local user's activity (as opposed to a background synchronization process), the synchronization framework synchronizes the locally-managed object with the remote database.

Abstract: System, apparatus, user equipment, and associated computer program and computing methods are provided for suggesting websites that are relevant based on the user's browsing history and past search results. In one aspect, a hosted computer application stores the user's browsing history and search results using a cloud-based storage facility, and computing methods, using machine learning techniques, are operative to predict websites the user may want to visit next. Example machine learning techniques may be configured to use non-parsed and unstructured data to identify patterns and map hundreds of thousands of data elements, to predict which website(s) the user might like to visit in a search/browsing session. Example machine learning techniques may be further operative to recognize patterns and analyze data at each interaction with the user.

Abstract: Techniques are provided for more efficient multi-row atomic, consistent, isolated and durable (ACID)-compliant transactions with snapshot isolation semantics (or just “multi-row transactions” for short). In some embodiments, the techniques are implemented in a computing system that includes a client application, a lightweight in-memory lease-based lock service, a multi-row transaction orchestrator, and an underlying database system. The transaction orchestrator implements a read protocol and a write protocol that provides support to the client application for carrying out multi-row transactions against the underlying database system irrespective of whether the database system itself supports multi-row transactions. The transaction orchestrator explicitly maintains transaction-level locks obtained from the lease-based lock service as part of the transaction protocol.

Abstract: Embodiments of tokenized search suggestions include generating, by at least one suggestion engine executing on a data processing system, first suggestions based on first text input in a text input field. The first suggestions are displayed on a display device and a selection of one of the first suggestions is received. The first text input is replaced with a first token corresponding to the selected one of the first suggestions. The at least one suggestion engine generates second suggestions based on second text input in the text input field and filters the second suggestions using the selected one of the first suggestions. The filtered selections are displayed on a display device.

Abstract: Techniques are provided for anomaly, association and clustering detection. At least one code table is built for each attribute in a set of data. A first code table corresponding to a first attribute and a second code table corresponding to a second attribute are selected. The first code table and the second code table are merged into a merged code table, and a determination is made to accept or reject the merged code table. An anomaly is detected when a total compression cost for a data point is greater than a threshold compression cost inferred from one or more code tables. An association in a data table is detected by merging attribute groups, splitting data groups, and assigning data points to data groups. A cluster is inferred from a matrix of data and code words for each of the one or more code tables.

Abstract: Computer-implemented systems, methods, and media for making a recommendation or a non-recommendation to a user comprising: a software module configured to calculate a social distance between a first and a second user; a software module configured to allow the first and the second user to rate a plurality of items using a gamified rating model; a software module configured to analyze a degree of similarity between the first and the second user based on the ratings of the plurality of items by the first and the second user; a software module configured to make a recommendation or a non-recommendation to the first user based on the social distance and the degree of similarity between the first and the second user, and the ratings of the plurality of items; and a software module configured to present the recommendation or non-recommendation in a manner that comprises a ranked list.

Abstract: In one example, a system comprises at least one processor configured to determine an indication of an audio portion of video content, determine, based at least in part on the indication, one or more candidate audio tracks, determine, based at least in part on the one or more candidate audio tracks, one or more search terms, and provide a search query that includes the search terms. The at least one processor may be further configured to, in response to the search query, receive a response that indicates a number of search results, wherein each one of the search results is associated with content that includes the one or more search terms, select, based at least in part on the response, a particular audio track of the one or more candidate audio tracks, and send a message that associates the video content with at least the particular audio track.

Abstract: A system and method for facilitating the use of use processed data from a storage system to perform one or more tasks are disclosed. For example, the method can include identifying data, stored within a storage system, and needed to perform a task. Such data can be stored in a processed form, as a result of such data having been previously processed by the storage system. A determination is made to determine whether the identified data is stored in a processed form. If so, a subsequent determination is made to determine whether the data in the processed form is usable to perform the task. If the data in the processed form is usable to perform the task, a request is generated to request the data in the processed form. The processed data can then be used to perform the task.

Abstract: A node of a storage service is selected as a coordinator of a distributed transaction involving multiple page-level modifications. The coordinator identifies other nodes as members of a node chain collectively storing physical data pages at which proposed modifications are to be performed, including a decider node responsible for a decision to commit the transaction. The coordinator generates a transaction preparation message comprising a representation of an order of respective commit decisions associated with the proposed modifications, and transmits the message to a selected node of the chain for a sequential propagation along the chain. Each chain node performs a local commit analysis for its changes and stores a record of its intent to commit. If a decision to commit is reached at the decider, the proposed modifications are completed.