Abstract: Techniques for presenting a content item with a media item are described. The techniques include receiving user input indicating a placement preference for a content item to be presented with a media item. The placement preference indicates a presentation preference of the content item relative to presentation of the media item. The placement preference is used to influence selection of a media item with which the content item is to be presented.

Abstract: Examples described herein include virtualized file servers which may include load balancing. For example, a recommendation engine may estimate a load associated with each of a plurality of file server virtual machines in a cluster. Based on the load, the recommendation engine may recommend changing ownership of one or more volume groups, scaling up the virtualized file server, scaling down the virtualized file server, scaling in the virtualized file server, scaling out the virtualized file server, or combinations thereof.

Abstract: This application relates to apparatus and methods for determining delivery prices for, and the assigning of, order deliveries. In some examples, a computing device may obtain order data identifying an order for delivery. The computing device may transmit a request to deliver the order for a first price to a first driver. The computing device may determine that a response to the request has not been received, and obtain risk values corresponding to identified delivery request acceptance risk factors. The risk factors may include location based risk factors, delivery time risk factors, driver supply risk factors, and time deadline risk factors. The computing device may determine a second price based on the first price and the risk values by executing one or more algorithms. The computing device may then transmit another request to deliver the order for the second price to a second driver.

Abstract: A system and method of driver selection is disclosed. At least one order including a delivery window is received and a first delivery assignment process is implemented during a first time period. The first time period occurs a predetermined time before the delivery window. An indication regarding the first delivery assignment process is received and a second delivery assignment process is implemented during a second time period when the indication regarding the first delivery assignment process indicates the first delivery assignment process failed to place the at least one order with a driver. The second time period is subsequent to the first time period. An indication regarding the second delivery assignment process is received.

Abstract: This application relates to apparatus and methods for determining, assigning, and displaying order deliveries. In some examples, a computing device may obtain order data identifying at least one order for delivery during a timeslot. The computing device may transmit, to a driver's computing device, a request for deliveries for a first price during the timeslot. The computing device may receive, from the driver's computing device, a response accepting the request. The computing device may then assign the driver to the order, and determine a delivery status based on the assignment of the first driver to the first order. The delivery status may identify, for example, that the order has been assigned to the driver, an estimated delivery time, the number of items being delivered, the weight of the items, and a route taken by the driver. The computing device may also display the delivery status.

Abstract: This application relates to apparatus and methods for batching orders for delivery. In some examples, a computing device may obtain order data identifying at least a first order and a second order. The computing device may determine whether the first order can be delivered to a first delivery address and the second order can be delivered to a second delivery address within a delivery time window. Based on the determination, the computing device may batch the first order and the second order to generate a batched order. In some examples, the computing device determines if the delivery vehicle can store the items for the first order and the second order to determine whether the orders may be batched. The computing device may generate assignment data identifying an assignment of the batched order to a delivery vehicle, and may transmit the assignment data to another computing device.

Abstract: The serving of advertisements with (e.g., on) video documents may be improved in a number of ways. For example, a system may (a) accept information defining at least one ad spot associated with at least one instance of an video document, (b) accept offers to have advertisements served in the ad spot(s), and (c) arbitrate among competing advertisements, using at least the offers, to determine at least one advertisement to be served in that ad spot(s). As another example, a system may (a) accept relevance information for an advertisement, (b) determine at least one video document using the accepted relevance information, (c) present information about the video document(s) to an advertiser associated with the advertisement, and (d) accept, from the advertiser, an offer to have its advertisement served with at least one of the video document(s) accepted.

Abstract: Implementations of a system, method and apparatus described herein receive, for a configuration item in a configuration management database, status indicating an operational state and an automation state associated with the configuration item, and determine whether a conflict will occur with at least one of the operational state or the automation state of the configuration item as a result of a process affecting the configuration item. When the conflict will not occur, a change is made to at least one of the operational state or the automation state of the configuration item in accordance with the process. Upon a conclusion of the process, the change is removed. If the conflict will occur, the process not allowed to continue.

Abstract: Unknown potential commercials are detected in a video data stream that contains segments of program type content, and blocks of commercial content. Each block includes a plurality of successive individual commercials. A library of known commercials is maintained in a first database. A video data stream is received in a video processing engine which includes a search engine that is in communication with the first database. The search engine identifies all known commercials in the video data stream and their respective start and end times. The video processing engine identifies all time segments that are sandwiched between the known commercials. The video processing engine filters out as a potential commercial any identified time segments that are significantly longer than the time length of a commercial. The video processing engine designates content of each of the time segments that were not filtered out as being one or more unknown potential commercials.

Abstract: Techniques are disclosed for an Ethernet Virtual Private Network (EVPN) Virtual Private Wire Service (VPWS) network with service interface-aware forwarding. In one example, a first network device signals to a second network device, using EVPN route advertisements, a multi-service service tunnel to transport network packets for a plurality of services. The services are identifiable by virtual local area network (VLAN) identifiers in the packets. The first network device is configured with a single transport interface for the service tunnel and the single transport interface is configured with respective service interfaces for the services. The first network device detects failure of a failed service interface of the service interfaces and outputs, in response to the failure, an EVPN route withdrawal message for the service tunnel that identifies the service corresponding to the failed service interface.

Abstract: A computerized method of populating one or more structured databases includes performing, by a computing device, the steps of: receiving customer message data from one or more data sources; extracting, from the customer message data, data sets representative of a set of customer questions; pre-processing, the data sets representative of the set of customer questions using one or more filters, thereby producing pre-processed data sets representative of customer questions; extracting, from the pre-processed data sets representative of customer questions, a set of customer expression data sets; grouping, the customer expression data sets into a set of clusters, each cluster representing one customer intent data set, each customer intent data set corresponding to one or more customer expression data sets; and storing, the customer intent data sets and the customer expression data sets in the structured database(s), the structured database(s) in electronic communication with the computing device.

Abstract: A computerized method of assessing a chatbot conversation includes: extracting one or more messages from the conversation; determining, based on the one or more messages, an existing business opportunity value score using a business opportunity state detector module; determining, based on the one or more messages, an existing user experience score using a user experience state detector module of the computing device; determining, based on the one or more messages, a future business opportunity value score using a future business opportunity predictor module of the computing device; determining, based on the one or more messages, a future user experience score using the future user experience predictor module of the computing device; calculating a composite score indicating whether human intervention in the chatbot conversation is desirable; and generating a display signal including a status indicator, for review by a human agent, reflecting a desirability of human intervention in the chatbot conversation.

Abstract: Systems and methods are provided to generate a personalized video channel for a viewer. Selected parameters of the viewer's viewing behavior with respect to one or more media devices that are associated with the viewer are automatically monitored and detected during one or more sampling periods. Media content sources that are available to the viewer on the one or more media devices are automatically detected. A personalized video channel is then generated for the viewer using at least the monitoring parameters and the detected media content sources. During a viewing session on one of the media devices, the generated personalized video channel is displayed.

Abstract: Devices, methods, and systems for determining the cause of a fault in a heating, ventilation, and air conditioning (HVAC) system are described herein. One device includes a memory, and a processor configured to execute executable instructions stored in the memory to receive operational data associated with an HVAC system, receive control logic associated with a controller of the HVAC system, determine a cause of a fault occurring in the HVAC system based, at least in part, on the operational data associated with the HVAC system and the control logic of the controller of the HVAC system, and provide the cause of the fault occurring in the HVAC system to a user.

Abstract: The present disclosure extends to maintaining an item inventory status at an inventory cache management system. The inventory cache may be refreshed regularly by a threshold-based triggering mechanism. In embodiments, as item inventory breaches certain thresholds, the inventory cache may be refreshed with increased frequency to mitigate overselling or underselling scenarios and reduce overall network traffic for items having relatively high inventory levels.

Abstract: Methods and systems are provided to create a media consumer-personalized database table of selectable actions related to media content of interest to a media consumer that is being displayed on a media device. The media content of interest is identified by the media consumer by recording an indication of the media content of interest via a signal received from a user input device when the media content of interest is being displayed or presented. The database table of selectable actions is then presented to the media consumer who can initiate one of the actions.

Abstract: Techniques for presenting a content item with a media item are described. The techniques include receiving user input indicating a placement preference for a content item to be presented with a media item. The placement preference indicates a presentation preference of the content item relative to presentation of the media item. The placement preference is used to influence selection of a media item with which the content item is to be presented.

Abstract: A system and method for application security profiling that includes extracting a code property graph from at least a subset of a code base; generating a code profile from the code property graph, wherein generating the code profile occurs prior to a compilation of the code base; and applying the code profile, comprising of identifying sections of interest within the code base.

Abstract: A system may include a database disposed within a remote network management platform, a server device disposed in the platform, and a client device. The database may contain representations of configuration items, such as computing devices and software applications associated with the managed network. The server device may provide a graphical user interface including a sequence of panes to the client device. The sequence of panes may include an identifier pane, an identification rules pane, and a reconciliation pane. Each pane may include data entry fields that are operable to define a new class of configuration item. The server device may receive, by way of the graphical user interface, a definition of the new class that uniquely identifies configuration items of a particular type using at least the attributes. The server may store, in the database, the definition of the new class.

Abstract: Techniques for automating the generation and analysis of fundus drawings are described. Captured images undergo image processing to extract information about image features. Fundus images are generated and recommended labels for the fundus drawing are generated. Fundus drawings can be analyzed and undergo textual processing to extract existing labels. Machine learning models and co-occurrence analysis can be applied to collections of fundus images and drawings to gather information about commonly associated labels, label locations, and user information. The most frequently used labels associated with the image can be identified to improve recommendations and personalize labels.