Techniques are provided for unifying filter operators in exchange, transform, load (ETL) plans. Such a technique includes a method that may include receiving, by a computer system, an ETL plan including a split operator and a plurality of filter operators. The may include identifying, by the computer system, that the plurality of filter operators are configured to act on data output by the split operator in the ETL plan. The method may include generating, by the computer system, a unified filter operator using the plurality of filter operators. The method may include generating, by the computer system, an updated ETL plan comprising the unified filter operator providing filtered data to the split operator. The method may also include storing the updated ETL plan in a data store.

This disclosure relates to methods, non-transitory computer readable media, and systems that generate and visualize bias scores within segment-generation-user interfaces prior to executing proposed actions with regard to target segments. For example, the disclosed systems can generate a bias score indicating a measure of bias for a characteristic within a segment of users selected for a proposed action and visualize the bias score and corresponding characteristic in a segment-generation-user interface. In some implementations, the disclosed systems can further integrate detecting and visualizing bias as a bias score with selectable options for a segmentation-bias system to generate and modify segments of users to reduce detected bias.

Systems and methods are disclosed for processing events having raw machine data associated with a timestamp using one or more pivot identifiers and one or more step identifiers to generate one or more journey instances. Based on the one or more pivot identifier field, the system can relate events that have a common field value for the pivot identifier field. Based on the one or more step identifiers, the system can group the related events into a subset of events. Using the subset of events, the system can build a journey instance.

Systems and methods are disclosed for flexibly applying a query term to heterogeneous data. A query system can receive a query that includes a data-determinant query term. As the system executes the query it can generate interim search results. As the system query processes the interim search results based on the query, it can apply the data-determinant query term to records of the interims search results based on the structure of the records.

In an example, a computer-implemented method to group graphical objects includes displaying, on a display device, a graphical diagram with multiple graphical objects that represent data of a data source. The method includes receiving input to define one or more groups. The method includes, in response to the input, generating one or more containers, each of the one or more containers representing a different one of the one or more groups; and graphically depicting membership of the graphical objects in the one or more groups by relative arrangement of the graphical objects and the one or more containers according to group membership of each of the graphical objects.

A computer vision processor of a camera generates hyperzooms for persons or vehicles from image frames captured by the camera. The hyperzooms include a first hyperzoom associated with the persons or vehicles. The computer vision processor tracks traffic patterns of the persons or vehicles while obviating network usage by the camera by predicting positions of the persons or vehicles using a Kalman Filter from the first hyperzoom. The persons or vehicles are detected in the second hyperzoom. The positions of the persons or vehicles are updated based on detecting the persons or vehicles in the second hyperzoom. The first hyperzoom is removed from the camera. Tracks of the persons or vehicles are generated based on the updated positions. The second hyperzoom is removed from the camera. Track metadata is generated from the tracks for storing in a key-value database located on a non-transitory computer-readable storage medium of the camera.

A computer-implemented technique is described herein for facilitating a user's repeated execution of the same computer-implemented actions. The technique performs this task by determining patterns in the manner in which the user repeats requests associated with certain computer-implemented actions. For example, the technique determines context-dependent patterns in the manner in which the user submits search requests to a search system. The technique then leverages those patterns by proactively providing a request-assistance tool to the user in those context-specific circumstances in which the user is likely to perform the repetitive computer-implemented actions. The digital action-assistance tool provides various kinds of assistance to the user in performing the repetitive computer-implemented actions.

Data on entities and how they are associated with other entities may be aggregated from multiple sources and reconciled. The aggregated data may be presented in a dashboard with a graphical user interface (GUI) that represents entities (e.g., nodes) and associations (e.g., edges) as distinguishable graphical elements that are individually selectable. Different nodes/edges may have distinct graphical representations that correspond with certain characteristics of the nodes/edges. The dashboard may include multiple dynamically-updated panes that may be populated with different information depending on a user's interaction with the GUI and/or depending on information received from various sources. A first entity's connection to or involvement in certain activities may be more readily understood by interactively examining not just the first entity's relationship with a second entity, but also the second entity's relationship with a third entity which is not directly related to the first entity.

An exemplary method of generating content for a user of a social networking service includes, in an application of a social networking service, receiving a classification model from a server system associated with the social networking service. The method further includes generating a collage for a user. The collage includes a set of content items stored on the client device. The method also includes, presenting the collage to the user if the collage satisfies a criterion included in the classification model. The method also includes tracking and providing user-interaction data for the collage to the server system, and receiving an updated classification model from the server system in accordance with the user-interaction data. The method also includes generating and presenting a new collage that includes a new set of content items stored on the client device, if the new collage satisfies the criterion included in the updated classification model.

Systems, methods, and computer-readable media for determining at least one valid mood for a collection of media content items of a media library are provided.