Abstract: A system includes a content generation subsystem that features a playlist controller and multimedia service logic. The playlist controller is configured to generate a presentation playlist that controls retrieval and playback of audio clips along displayable images. The multimedia service logic, in response to receiving at least a vehicle identification number from the playlist controller, (i) automatically determines vehicle option codes associated with the vehicle, each vehicle option code identifies an option installed on the vehicle; (ii) automatically translate the vehicle option codes into information that is used in recovery of a plurality of text descriptions directed to features of the vehicle, and (iii) automatically determine the a plurality of audio clip links corresponding to the plurality of text descriptions that are used in the formation of the playlist. The second plurality of audio clip links is greater in number than the first plurality of audio clip links.

Abstract: A data analytic system for conducting automated analytics of content within a network-based system. The data analytic system features query management logic that, responsive to a triggering event, initiates queries for retrieval of particular type of content to be verified. The data analytic system further features multi-stage statistical analysis logic, automated intelligence and reporting logic. The statistical analysis logic is configured to concurrently conduct a plurality of statistical analyses on the content and generate corresponding plurality of statistical results, apply weightings to each of the statistical results, perform arithmetic operation(s) on the weighted statistical results to produce an analytic result, and determine whether the analytic result signifies that the content constitutes errored content.

Abstract: An image readjustment system featuring a communication interface, one or more processors, and a persistent storage. The persistent storage is communicatively coupled to the one or more processors. The persistent storage comprises at least image location logic and image cropping logic. The image location logic is configured to receive and analyze an incoming image, using a machine learning analysis, to determine a location of a particular component within the incoming image and to calculate coordinates of a boundary area surrounding the particular component. The image cropping logic is configured to remove portions of the incoming image outside of the boundary area to generate a modified image to be rendered for display.

Abstract: A system for automatically generating textual information describing a vehicle being advertised for purchase is disclosed. The system comprises a processor and a memory communicatively coupled to the processor, the memory including: a vehicle identification number (VIN) decoder logic to decode a VIN to determine a vehicle represented by the VIN, a feature determination logic configured to determine a normalized list of features associated with the vehicle, and a vehicle text generation logic configured to generate textual information describing the vehicle. The memory further includes a feature prioritization logic configured to perform prioritization operations to determine priority values associated with one or more features of the normalized list of features. In some instances, decoding the VIN includes (i) determining attributes of the vehicle including make, model and year, and (ii) retrieving vehicle option codes from a first data store, wherein the vehicle option codes are associated with the VIN.

Abstract: A method is disclosed that includes operations of receiving user input that includes a vehicle identifier (ID), responsive to receiving the user input, (1) determining a set of vehicle images corresponding to the vehicle ID, (2) a set of classification IDs corresponding to the set of vehicle images, wherein the set of classification IDs includes a classification ID for each vehicle image of the set of vehicle images, and (3) determining feature content corresponding to the set of classification IDs, generating an image-to-feature data map configured to associate the following (i) each vehicle image, (ii) one or more portions of the feature content, and (iii) one or more classification IDs, and transmitting the image-to-feature association to a logic module embedded in webpage code of a webpage, wherein the image-to-feature association includes instructions that, upon execution, cause a rendering of a first vehicle image and first feature content on the webpage.

Abstract: A system includes a content generation subsystem that features a playlist controller and multimedia service logic. The playlist controller is configured to generate a presentation playlist that controls retrieval and playback of audio clips along displayable images. The multimedia service logic, in response to receiving at least a vehicle identification number from the playlist controller, (i) automatically determines vehicle option codes associated with the vehicle, each vehicle option code identifies an option installed on the vehicle; (ii) automatically translate the vehicle option codes into information that is used in recovery of a plurality of text descriptions directed to features of the vehicle, and (iii) automatically determine the a plurality of audio clip links corresponding to the plurality of text descriptions that are used in the formation of the playlist. The second plurality of audio clip links is greater in number than the first plurality of audio clip links.

Abstract: An image readjustment system featuring a communication interface, one or more processors, and a persistent storage. The persistent storage is communicatively coupled to the one or more processors. The persistent storage comprises at least image location logic and image cropping logic. The image location logic is configured to receive and analyze an incoming image, using a machine learning analysis, to determine a location of a particular component within the incoming image and to calculate coordinates of a boundary area surrounding the particular component. The image cropping logic is configured to remove portions of the incoming image outside of the boundary area to generate a modified image to be rendered for display.

Abstract: A system includes a content generation subsystem that features a playlist controller and multimedia service logic. The playlist controller is configured to generate a presentation playlist that controls retrieval and playback of audio clips along displayable images. The multimedia service logic, in response to receiving at least a vehicle identification number from the playlist controller, (i) automatically determines vehicle option codes associated with the vehicle, each vehicle option code identifies an option installed on the vehicle; (ii) automatically translate the vehicle option codes into information that is used in recovery of a plurality of text descriptions directed to features of the vehicle, and (iii) automatically determine the a plurality of audio clip links corresponding to the plurality of text descriptions that are used in the formation of the playlist. The second plurality of audio clip links is greater in number than the first plurality of audio clip links.

Abstract: An embodiment of the invention is directed to a system that comprises one or more processors and a memory communicatively coupled to the one or more processors. Herein, the memory including logic that, upon executing by the one or more processors and in response to receiving information that uniquely identifies a vehicle, automatically generating a plurality of images of the vehicle. A vehicle identification number (VIN) may be used as the information that uniquely identifies a vehicle and causes automatic generation of the interior and exterior images for that specific vehicle.

Abstract: An embodiment of the invention is directed to a system that comprises one or more processors and a memory communicatively coupled to the one or more processors. Herein, the memory including logic that, upon executing by the one or more processors and in response to receiving information that uniquely identifies a vehicle, automatically generating a plurality of images of the vehicle. A vehicle identification number (VIN) may be used as the information that uniquely identifies a vehicle and causes automatic generation of the interior and exterior images for that specific vehicle.