Abstract: In some implementations, a system may receive driving data indicating, for each of a plurality of drivers, driving behavior measured during vehicle operation and importance values corresponding to driving categories associated with the driving behavior. The system may determine driver clusters. The system may receive vehicle data indicating, for each of a plurality of vehicles, performance values corresponding to the driving categories. The system may generate a data structure indicating a degree of association between a vehicle and each driver cluster based on the driving behavior, importance values, and performance values. The system may receive, for a user, driver preference data including data measured during vehicle operation and an importance value for each driving category. The system may determine a driver cluster to which the user belongs based on the driver preference data. The system may determine compatible vehicles based on the driver cluster and the data structure.

Abstract: Systems and methods automating the process of application code vulnerability remediation. Implementations include building a repository of code revisions as software is checked for security vulnerabilities using or more software analysis tools. In certain implementations, historical code revisions are cataloged and stored in the repository. The revisions may be tokenized and utilized to detect and automatically remediate similar issues when new software packages are submitted to the system.

Abstract: Aspects described herein may allow for generating a filter list to facilitate users to refine their online search. Data items displayed on a web page may be determined based on the user's input data, for example, based on a selection command selecting the data items. Each data item corresponds to a feature of a product. Filters corresponding to the data items may be determined and the weight of each filter may be updated. A filter list may be generated and displayed to facilitate the user to refine his search for a class of products. The filters on the filter list may be automatically ordered based on the weight of each filter. In this way, a user may be able to find filters that are associated with features that he cares about the most and therefore use the filter list to obtain more satisfying results.

Abstract: In some implementations, a device may identify objects associated with the route based on one or more images associated with a selected route. The device may generate a model associated with the route including the scenery, wherein the scenery includes models of the objects based on geographic locations of the objects and three-dimensional spatial information of the objects. The device may determine a visual reference point for the virtual reality driving session based on at least one of vehicle information associated with the vehicle or user information. The device may provide, to a virtual reality device, presentation information that causes the virtual reality driving session to be displayed by the virtual reality device from a perspective of the visual reference point within a vehicle model associated with a selected vehicle placed in the model of the route with the scenery.

Abstract: Systems and methods for asset interchange are disclosed. In one embodiment, a method includes receiving an indication that a user wants to exchange a first product, determining a plurality of second products different from the first product, identifying a plurality of second users that own at least one of the plurality of second products, generating a bipartite graph representing a plurality of different connections between the user and the plurality of second users, wherein each connection of the plurality of different connections represents an interchange of the first product with one or more of the plurality of second products, generating an interchange recommendation from the bipartite graph, transmitting the interchange recommendation to a first computing device and a second computing device, receiving an interchange approval message from the first computing device and the second computing device, generating interchange instructions, and transmitting the generated interchange instructions.

Abstract: Disclosed herein are system, method, and computer program product embodiments for detecting a potential damage caused to a vehicle when the vehicle is placed on a transporter. The method includes obtaining a first image and a second image taken at different time instances. The first image and the second image are generated by one or more cameras placed around a vehicle on a transporter, and cover a same portion of a body of the vehicle. The method further includes detecting a change between a portion of the first image corresponding to the portion of the body of the vehicle and a portion of the second image corresponding to the portion of the body of the vehicle indicative of a collision. Moreover, the method includes flagging a potential damage to the portion of the body of the vehicle based on the detected change between the first image and the second image.

Abstract: Aspects described provide systems and methods that relate generally to image analysis and, more specifically, overlaying images onto a three-dimensional model of a vehicle. The systems and methods include a vehicle application that receives vehicle information via a user interface. The vehicle application receives a plurality of images that comprise images of one or more internal components of the vehicle and images of one or more external components of the vehicle. The vehicle application utilizes a machine learning model to classify actual current images and attach, overlay, and wrap the actual current images to a three-dimensional model of the vehicle. The machine learning model and vehicle application meshes the actual current images around the three-dimensional model of the vehicle to create a three-dimensional view of the vehicle. The vehicle application further displays via the user interface the three-dimensional view of the vehicle.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for estimating a value of a future vehicle. For instance, the method may include receiving a request for a target vehicle value estimate, obtaining an optical scan of a vehicle, generating a vehicle reference, the mileage of the vehicle, and the feature set of the vehicle, comparing the optical scan to the vehicle reference to identify one or more differences between the surfaces of the vehicle and corresponding surfaces of the vehicle reference that are indicative of damage or wear, and evaluating a relative condition of the vehicle based on those differences. The method may further include retrieving a target vehicle reference, generating a projection of a future condition of the target vehicle based on the relative condition of the vehicle, retrieving third-party vehicle records relevant to the target vehicle, and determining an estimated future value of the target vehicle.

Abstract: An embodiment of a customer callback system operates by determining a call action indicating a customer to whom a representative is to speak. An identifier associated with the customer is determined. A plurality of computing activities corresponding to interactions between the computing device and one or more websites provided to the computing device over a defined period of time are retrieved. A pattern associated with when the plurality of computing activities corresponding to the interactions between the computing device and the one or more websites were performed is identified. The overlapping time of day is provided to the representative during which to perform the call action.

Abstract: A system, method, and computer-readable medium for associating a person’s gestures with specific features of objects is disclosed. Using one or more image capture devices, a person’s gestures and the location of that person in an environment is determined. Using determined distances between the person and objects in the environment and scales associated with features of those objects, the list of specific features in the person’s field-of-view may be determined. Further, a facial expression of the person may be scored and that score associated with one or more specific features.

Abstract: Aspects described provide systems and methods that relate generally to image analysis and, more specifically, identifying individual components and elements in an image. The systems and methods include a valuation application executing one or more application program interfaces (APIs) communicating with one or more websites via a network, where the user is prompted to enter information and/or take pictures or videos of their vehicle that they would like to sell. The valuation application utilizes a machine learning model to identify and value the various vehicle components within the images and videos. Based on the machine learning model, the valuation application identifies each component according to the images and videos and performs a search to determine the value of the components identified. The valuation application tabulates and summarizes the vehicle component resale values and resell information for the user to view.

Abstract: Systems, methods, and computer-readable storage media for generating a flight path for aerial drones around parked vehicles, where the flight path navigates an aerial drone to specific locations associated with predetermined views of the vehicle. A remotely located user can select from a list of predetermined views where the drone should travel, and the computer system can direct the drone to a location associated with the selected view, align the camera on the drone to capture the selected view, and relay live video of the selected view of the parked car to the user.

Abstract: A set of queries from an application executing on a client computing device is obtained. A first database based on the set of queries is searched to select a set of event types. A set of predicted parameters associated with the set of event types is sent to the application. The application includes instructions to obtain a first parameter and the set of predicted parameters via a user interface of the application and generate a message comprising the first parameter and an indicator identifying the set of predicted parameters. The first parameter and the indicator are obtained via the second message. A combined query including the first parameter and the set of predicted parameters is generated in response to obtaining the indicator. A vehicle record from the vehicle database is obtained based on the combined query. Values of the vehicle record are sent to the client computing device.

Abstract: Aspects described herein may allow for generating a filter list to facilitate users to refine their online search. Data items displayed on a web page may be determined based on the user's input data, for example, based on a selection command selecting the data items. Each data item corresponds to a feature of a product. Filters corresponding to the data items may be determined and the weight of each filter may be updated. A filter list may be generated and displayed to facilitate the user to refine his search for a class of products. The filters on the filter list may be automatically ordered based on the weight of each filter. In this way, a user may be able to find filters that are associated with features that he cares about the most and therefore use the filter list to obtain more satisfying results.

Abstract: An augmented reality system including processors and storage devices storing instructions. The instructions may configure the processors to perform operations including determining a location of a mobile device, identifying a facility based on the location, requesting mapping data from a facility server, the mapping data comprising a plurality of vehicles, vehicle location data, and landmarks, identifying one location attribute in a video feed captured by an augmented reality viewer displayed in the mobile device, and determining whether the one location attribute matches the plurality of vehicles or the landmarks. The operations may also include identifying qualified vehicles from the vehicles based on qualification criteria, determining whether the qualified vehicles is in a field of view of the augmented reality viewer based on object attributes and the vehicle location data, and generating a modified video feed by providing an indication associated with qualified vehicles in the field of view.

Abstract: An inquiry analysis system and method are disclosed. An inquiry analysis system includes a computer configured to receive an electronic communication from a user, the electronic communication comprising an inquiry associated with an article of interest. The inquiry analysis system determines one or more measures including a first result of a first trained model based on one or more content elements of the inquiry, a second result of a second trained model based on one or more sentiment elements of the inquiry, and a valuation divergence model result based on a comparison of the inquiry with a reference value associated with the article of interest. The inquiry analysis system calculates and outputs a composite interest prediction which predicts a level of interest of the user associated with the respective article of interest.

Abstract: Methods, media and systems are provided for enhancing a web browsing session. Methods and media include retrieving a user profile containing information related to a potential vehicle buyer or a vehicle profile containing information related to a vehicle of interest. Historical use data of a web browser associated with the corresponding user profile is retrieved. Enhancing the web browsing session further includes analyzing an input received from a current web browser session associated with the user profile or vehicle profile and determining a vehicle characteristic related to the analyzed input. An automated phrase corresponding to the vehicle characteristic is selected to elicit further user interaction during the current web browser session. The selected automated phrase is based on the determined vehicle characteristic. Systems include a profile database for storing user/vehicle profiles and a memory storing a set of computer-executable instructions to enhance a web browsing session.

Abstract: A system and method for queue management is disclosed. The system and method includes at least: (a) monitoring, by one or more computing devices, a network node queue to determine a value indicating how much data is processed by the network node over a period of time; (b) determining, by the one or more computing devices, whether the value is below a threshold value, wherein the value being below the threshold value indicates a performance degradation of the network node; (c) based on determining the value is below the threshold value, removing, by the one or more computing devices, a remaining data from the network node queue; and (d) transmitting, by the one or more computing devices, the remaining data removed in (c) to a coordinator module for redistribution to one or more other network nodes to process the remaining data.

Abstract: The disclosure describes a system and methods for implementing a recommendation engine. The recommendation engine can at least receive a travel history log, wherein the travel history log includes a route traversed by a customer; receive a route information from a database for the route, where the route information includes an accident history for the route; generate a route traverse percentage based on the travel history log; generate a route categorization score based on the accident history for the route and the route traverse percentage; and generate a vehicle recommendation based on the route categorization score.

Abstract: In certain embodiments, access to a plurality of sites associated with a plurality of users may be obtained. The plurality of sites may comprise categories of the plurality of users and interactions among the plurality of users. Based on the plurality of sites, a plurality of interaction datasets and a plurality of timing datasets may be generated. The plurality of interaction datasets and the plurality of timing datasets may be provided as inputs to a machine learning model and the machine learning model may be configured based on the inputs. Subsequent to the configuration, an interaction dataset and a timing dataset associated with a user may be provided to the machine learning model. A predicted length of time for the user may be obtained via the machine learning model and one or more settings of a program may be configured to the user based on the predicted length of time.