Described herein is a method and system for generating product descriptions of vehicles. A request for a customized vehicle publication is received, which includes at least a vehicle type, a set of standard features, and a set of optional features. One or more story templates associated with the vehicle type input are automatically received, where each of the story templates have populatable fields corresponding to the vehicle type, the set of standard features, and the set of optional features. The story templates have a theme correlated to usage of a vehicle having the vehicle type. A selection of a story template is received, and the vehicle characteristics are automatically populated. The completed vehicle product description is then provided.

An advocacy system uses trained machine learning models to create messages that are sent to advocates or policymakers to achieve desired outcomes for an organization. Desired outcomes can include, for example: an advocate sending a message to a policymaker or legislative representative advocating in favor or the organization's position on an issue; a policymaker acting or voting in favor of the organization's position on an issue; or an advocate making a financial contribution to the organization. The machine learning models can be configured to select possible message characteristics or features that the system will include/use in creating/sending messages to/for individual senders and recipients. The machine learning models can be trained based on message characteristics, personal profile characteristics of senders/recipients, and outcomes from previously sent messages. Personal profile characteristics of senders/recipients can indicate correlations between certain message characteristics and certain outcomes of sending messages.

In general, the technology relates to a method for using reusable themes. The method includes receiving, from a device, a request for a style sheet language file, where the style sheet language file defines a reusable theme for a webpage and specifies a relative location for an image that is used by the reusable theme. The method further includes receiving a request for the image including the relative location of the image, resolving the relative location for the image to obtain an absolute location for the image using a location of the style sheet language file in a web application structure, obtaining the image from the absolute location of the image, and providing the image to the device.

In general, the technology relates to a method for using reusable themes. The method includes receiving, from a device, a request for a style sheet language file, where the style sheet language file defines a reusable theme for a webpage and specifies a relative location for an image that is used by the reusable theme. The method further includes receiving a request for the image including the relative location of the image, resolving the relative location for the image to obtain an absolute location for the image using a location of the style sheet language file in a web application structure, obtaining the image from the absolute location of the image, and providing the image to the device.

A computer-implemented method for automatic template selection for extracting data from an input electronic document is provided. The method includes receiving a first set of candidate templates and an input electronic document. For each candidate template, a template similarity ratio value is calculated that represents a similarity of the candidate template to the input electronic document. The first set of candidate templates are ranked according to the template similarity ratios and then matched to the input electronic document resulting in generating a normalized similarity score for each particular candidate from among the candidate templates. Differences in normalized similarity scores of successive pairs of the candidate templates is determined and a breaking point is established. A second set of candidate templates is formed by selecting candidate templates that are ranked above the breaking point. Data from the input electronic document is extracted using the second set of candidate templates.

A computer-implemented method for automatic template selection for extracting data from an input electronic document is provided. The method includes receiving a first set of candidate templates and an input electronic document. For each candidate template, a template similarity ratio value is calculated that represents a similarity of the candidate template to the input electronic document. The first set of candidate templates are ranked according to the template similarity ratios and then matched to the input electronic document resulting in generating a normalized similarity score for each particular candidate from among the candidate templates. Differences in normalized similarity scores of successive pairs of the candidate templates is determined and a breaking point is established. A second set of candidate templates is formed by selecting candidate templates that are ranked above the breaking point. Data from the input electronic document is extracted using the second set of candidate templates.

The present patent application describes techniques for generating an enhanced electronic document that may include one or more graphical user interface (GUI) elements that comprise an interactive workflow. An electronic document is automatically processed to identify patterns within the content of the document that indicate individual content items, such as individual steps or instructions associated with a task described in the document, or individual input fields at which information is to be recorded. For each individual content item identified, a data object (e.g., a JSON object) is added to a file, which is ultimately embedded within the original document to create an enhanced electronic document. When the enhanced electronic document is presented via an appropriate document viewing application of a hands-free computing device, the content of the document is presented in combination with the interactive GUI elements so the end-user can interact with the content and GUI elements via audible (spoken) commands.

The present patent application describes techniques for generating an enhanced electronic document that may include one or more graphical user interface (GUI) elements that comprise an interactive workflow. An electronic document is automatically processed to identify patterns within the content of the document that indicate individual content items, such as individual steps or instructions associated with a task described in the document, or individual input fields at which information is to be recorded. For each individual content item identified, a data object (e.g., a JSON object) is added to a file, which is ultimately embedded within the original document to create an enhanced electronic document. When the enhanced electronic document is presented via an appropriate document viewing application of a hands-free computing device, the content of the document is presented in combination with the interactive GUI elements so the end-user can interact with the content and GUI elements via audible (spoken) commands.

Various embodiments of the present invention are directed to an improved group-based communication apparatus that is configured to efficiently manage channel title associated with group-based communication channels in a group-based communication system. The group-based communication apparatus is configured to determine and recommend channel title suggestions in association with the creation or renaming of group-based communication channels. The recommended channel title suggestions are determined based at least in part on a group-defined format protocol. The group-based communication apparatus also may be configured to utilize other data analytics (e.g., user profile data, group channel data, channel title data, channel title count data, channel title recency data, channel activity data, and/or the like) to inform the determination of recommended channel title suggestions. Additionally, the channel title data may be combined with other data of the group-based communication workspace to assemble one or more work graph data structures as discussed in detail herein.

Various embodiments of the present invention are directed to an improved group-based communication apparatus that is configured to efficiently manage channel title associated with group-based communication channels in a group-based communication system. The group-based communication apparatus is configured to determine and recommend channel title suggestions in association with the creation or renaming of group-based communication channels. The recommended channel title suggestions are determined based at least in part on a group-defined format protocol. The group-based communication apparatus also may be configured to utilize other data analytics (e.g., user profile data, group channel data, channel title data, channel title count data, channel title recency data, channel activity data, and/or the like) to inform the determination of recommended channel title suggestions. Additionally, the channel title data may be combined with other data of the group-based communication workspace to assemble one or more work graph data structures as discussed in detail herein.