Abstract: Content-sensitive computer applications are run on computer hosts in a computer cluster. A computer application running history including but not limited to computer host scores is recorded for the computer cluster. A request to start a container for a content-sensitive computer application type in the computer cluster is received. In response, available computer hosts in the computer cluster are identified. A specific computer host is selected from among the available computer hosts to run the container for the content-sensitive computer application type.

Abstract: Techniques and structures to facilitate classification of source code files is disclosed. The techniques include receiving a plurality of source code files; and classifying each of the plurality of source code files, including analyzing source code details of a source code file and assigning one or more classifier tags to the source code file based on the source code details of the source code file, wherein each classifier tag is associated with one of a plurality of programming teams.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing anomaly feedback monitoring and detection. An embodiment operates by determining a first set of data corresponding to an anomaly indicating an undesirable data state for a first application. A subset of data from a second set of data corresponding to the undesirable data state is identified, wherein the second set of data is associated with communications between the first application and a second application. A notification identifying the anomaly is provided. Feedback associated with the anomaly is received. Data corresponding to the anomaly is updated based on the feedback.

Abstract: Disclosed are methods, apparatus, systems and computer program products for database system communications with external content management data sources. In some implementations, the data sources are identified in a user interface. An authorization selection enables authorization of a given identified data source, and a customization selection enables customization of one or more search settings for searching content of the data source. Persistent objects representing content objects of the data sources can be stored in one or more databases. A database search can be performed on both native database files and the persistent objects.

Abstract: Test case data is received for individual test cases. The test case data includes sets of test case specific elements. A test case base object is generated to represent a generic test case. The test case base object includes a set of test case specific properties. The test case base object is expanded into individual test case specific objects that represent the individual test cases. Each individual test case specific object is generated by setting the set of test case specific properties to a respective set of test case specific values as indicated in the sets of test case specific elements. The individual test case objects are used to execute the individual test cases against one or more systems under test.

Abstract: An online system authenticates a user through a voiceprint biometric verification process. When a user needs to be authenticated, the online system generates and provides a random phrase to the user. The online system receives an audio recording of the randomly generated phrase and retrieves a previously trained voiceprint model for the user. The online system analyzes the audio recording by applying the voiceprint model to determine whether the audio recording satisfies a first criteria of whether the voice in the audio recording belongs the user and a second criteria of whether the audio recording includes a vocalization of the randomly generated phrase. If the audio recording satisfies both criteria, the online system authenticates the user. Therefore, the user can be provided access to a new communication session in response to being authenticated.

Abstract: The technology disclosed proposes using a combination of computationally cheap, less-accurate bag of words (BoW) model and computationally expensive, more-accurate long short-term memory (LSTM) model to perform natural processing tasks such as sentiment analysis. The use of cheap, less-accurate BoW model is referred to herein as “skimming”. The use of expensive, more-accurate LSTM model is referred to herein as “reading”. The technology disclosed presents a probability-based guider (PBG). PBG combines the use of BoW model and the LSTM model. PBG uses a probability thresholding strategy to determine, based on the results of the BoW model, whether to invoke the LSTM model for reliably classifying a sentence as positive or negative. The technology disclosed also presents a deep neural network-based decision network (DDN) that is trained to learn the relationship between the BoW model and the LSTM model and to invoke only one of the two models.

Abstract: Systems, methods, and computer-readable media are provided for logging message data with reduced the latency and decreased overhead in multi-tenant systems. A message server may implement a two-stage process for logging the message data. In the first stage, the message server may create job-specific and write-optimized staging tables for each message processing job, and may store the message data for each job in a corresponding staging table. This may be done as the message server is building and sending the messages for each job. Additionally, the message server may partition or shard the staging tables so that the write operations are spread to multiple storage disks to avoid creating a storage server hotspot or bottleneck. In the second stage, the message server may move the accumulated message data from the individual staging tables to a corresponding tenant space at regular intervals. Other embodiments may be described and/or claimed.

Abstract: Systems and methods are provided for determining a first semantic segmentation image of a first image, wherein the first image includes at least a portion of a person wearing a first fashion item. A plurality of keypoints of the person's body may be determined in the first image. Using the determined first semantic segmentation image, the determined keypoints, and a second image that includes a second fashion item, a second semantic segmentation image of the person in the first image with the second fashion item of the second image may be generated. The first image may be masked to occlude pixels of the first fashion item that is to be replaced with the second fashion item. Using the masked first image, the second semantic segmentation image, and the second image that includes the second fashion item, a third image may be generated that includes the person with the second fashion item.

Abstract: Disclosed herein are system, method, and computer program product embodiments for creating an enterprise data model that defines entities and relationships between the entities spanning multiple environments and for deploying and maintaining artifacts across the environments using metadata specified in the enterprise data model. By embedding metadata that describes foreign key references within an enterprise data model, a unifying enterprise data model may manage artifacts across multiple domains while implementing a physical, cross-domain, data architecture. Such an enterprise data model may provide an organization with a 360-degree view of the information harnessed across the organization's technical landscape and may allow the organization to easily rollout a comprehensive data warehousing solution.

Abstract: Predictive execution of query flows in an application aware database environment. A repository of previously received and registered database queries along with at least corresponding metadata having information about database query flows generating the database queries is maintained. Application metadata corresponding to a subsequent database query is received. The repository is checked to determine if the application metadata matches one of the previously received and registered database query flows. One or more queries corresponding to the query flow from the repository is/are retrieved if a match is determined. Execution of the retrieved one or more database queries is started prior to receiving the query from outside the repository.

Abstract: A request to access a virtual dataset identifying one or more changeset selection criteria may be received. One or more changesets may be selected based on the selection criteria. Each changeset may correspond with a point in time and may include data references to data items added to the virtual dataset at the point in time. A learning dataset that includes a plurality of data items may be identified.

Abstract: A virtual dataset may be created in a database system. The virtual dataset may include data items stored in a storage system that are each associated with a respective label. The virtual dataset may include a first changeset identifying the data items, and may be updated to include a second changeset identifying different data items later stored in the storage system and included in the virtual dataset. Access to a learning dataset that includes either the first changeset, the second changeset, or both, may be provided upon request.

Abstract: Described herein is a method, system, and non-transitory computer readable medium for generating composite uniform resource locator (URL) parameter strings, to aid administrators of businesses and other owners of websites who may want to determine statistics about their target audiences in an intuitive and efficient manner. In order to do so, individual URL parameter units, wherein each URL parameter unit may represent a simple assignment or simple logical comparison of a parameter, are constructed in a modular form using a GUI. Once these individual URL parameter units are constructed, they are then concatenated into composite URL parameter strings, wherein multiple URL parameter strings can be combined to form the URL for a button sent in an email to intended recipients. When such links are clicked, the administrator user may receive audience-specific feedback at a high level of detail.

Abstract: Search query result set count estimation is described. A system parses data set query that includes first query attribute and second query attribute. The system identifies first hierarchy of connected nodes including a first node representing a first query attribute, and a second hierarchy of other connected nodes including a second node representing a second query attribute. The system identifies a directed arc connecting first correlated node in first hierarchy to second correlated node in second hierarchy. The system identifies cross-hierarchy probabilities of correlations between values of a first attribute represented by the first correlated node and values of a second attribute represented by the second correlated node.

Abstract: Systems and methods for updating an Operating System (OS) using cloud-based resources are described. A server computing system enables an auto-scaling group (ASG) to launch one or more instances based on a first machine image. The first machine image associated with a first Operating System (OS). The ASG is associated with a stateful service and configured with a resource tag having a value similar to a value assigned to the stateful service. The computer system receives a second machine image associated with a second OS generated based on the first OS. The computer system enables the ASG to terminate the one or more instances launched based on the first machine image and to launch one or more instances based on the second machine image. The instances launched based on the first machine image and based on the second machine image are associated with persistent volumes.

Abstract: Embodiments described herein provide a mechanism that translates a natural language question to a database query format that may be applied to a data table to generate an answer to the natural language question. The system may identify key terms from a natural language question and classify the key terms as variable names or operation names. The natural language question is than translated into a format of question template containing variable names and operation names. In this way, the system may map the template question to a database query which can be applied to operate on a relational database to identify a cell value that represents an answer to the natural language question.

Abstract: Methods, systems, and devices supporting data storage are described. A database system may implement a hierarchical organization in which child data objects store hierarchical data for parent data objects. However, to support low latency time-series volume planning and analysis, the database system may additionally store a data object with a first set of data fields that includes object-specific data for the data object and a second set of data fields that includes hierarchical data (e.g., time-based hierarchical data organized into separate data fields for different time segments) for the data object. The database system may support both transactions and analytical queries using the data model. For example, the database system may receive a query indicating a time period for predictive analysis and may execute the query on the second set of data fields for the data object (e.g., without searching for child data objects storing the time-based hierarchical data).

Abstract: The disclosed technology for accurate translation of elements in a web application includes systems and methods that provide a sanitization and exception-generation tool set configurable to present tags in a preliminary localization kit to a localization expert; and run a tag name convention enforcement tool against the preliminary localization kit, which parses extracted tags and locates key name strings and translatable text, then applies key naming rules that require presence of keywords from a list of valid keywords and that require key uniqueness. The tool set creates bug report stubs from a tag exception and accepts additional comments from the expert to include in a completed bug report, regarding the key name that triggered the exception; is configurable to generate sanitization correction files using the received key names and edited translatable text for processing by a developer; and includes a verification-in-context tool that supports debugging of a language pack.

Abstract: Systems, methods, and apparatuses for implementing declarative smart actions for coins and assets transacted onto a blockchain using Distributed Ledger Technology (DLT) in conjunction with a cloud based computing environment are described herein. For example, according to one embodiment there is a system having at least a processor and a memory therein executing within a host organization, in which such a system includes means for executing a blockchain services interface on behalf of on behalf of a plurality of tenants; in which a blockchain protocol for the blockchain defines a group of base functions for the blockchain, the group of base functions accessible to any participating node of the blockchain.