Abstract: Methods, systems, and computer programs are presented for providing self-help. One method includes operations for detecting a request for self-help for a user, and obtaining, using a first ML model for rule mining, a first score for a set of cases from a database of historical cases of self-help for aiding users. The method further includes an operation for obtaining, using a second ML model for similarity based on user information, a second score for each case based on a similarity between and an environment of the user requesting self-help and an environment of each case. Further, the method includes obtaining a combined score for each case based on the first score and the second score, and ranking the set of cases based on the combined score. The information for at least one of the cases is presented on a user interface (UI) based on the ranking.

Abstract: In a data asset curating system including a processor, computer-readable medium and data storage storing source data assets, each source data asset including content data and source metadata, the data storage stores instructions causing the system to perform converting, based on a conversion rule defining a set of standard attributes, the source data assets to curatable data assets, each curatable data asset including the content data of the corresponding source data asset and curatable metadata, the curatable metadata including one or more standard attributes; causing a user device to render a GUI configured to provide filtering options for querying the curatable data assets; receiving, from the user device, a curation query including a set of the filtering options selected via the GUI; and identifying, from the curatable data assets, a set of the curatable data assets satisfying the received curation query.

Abstract: In a data asset curating system including a processor, computer-readable medium and data storage storing source data assets, each source data asset including content data and source metadata, the data storage stores instructions causing the system to perform converting, based on a conversion rule defining a set of standard attributes, the source data assets to curatable data assets, each curatable data asset including the content data of the corresponding source data asset and curatable metadata, the curatable metadata including one or more standard attributes; causing a user device to render a GUI configured to provide filtering options for querying the curatable data assets; receiving, from the user device, a curation query including a set of the filtering options selected via the GUI; and identifying, from the curatable data assets, a set of the curatable data assets satisfying the received curation query.

Abstract: A system for analyzing and prescribing content changes to achieve target readability level evaluates a readability score for a file at least at a whole document level and a sentence level based on a designated readability index; identifies one or more sentences that contribute to the file having the whole document level readability score outside a desired readability score of the readability index; provides a visual indicator for each of the identified one or more sentences; and re-evaluating the readability score for the file at the whole document level upon at least one of the identified one or more sentences being changed.

Abstract: A method that enables sharing a technology profile is described herein. The method includes determining at least one technology ecosystem of a first user. The method also includes generating a technology profile for the first user from the technology ecosystem, wherein the technology profile comprises components from the technology ecosystem associated with the first user. Finally, the method includes selectively sharing a shared technology profile with a second user, wherein the shared technology profile is determined by the first user and is derived from the technology profile.

Abstract: A method that enables handoff between a bot and human is described herein. The method includes monitoring a conversation between a user and a first bot to detect a trigger, wherein the trigger is detected by assessing one or more factors associated with the user, wherein assessing the one or more factors comprises a determination that a user frustration level exceeds a predetermined threshold. The method also includes, in response to a detected trigger, determining a type of a handoff to be executed, wherein the handoff is to a second bot or a human support agent and the type of handoff is based on an experience of the user. Additionally, the method includes executing the determined handoff to the second bot or a human support agent, wherein the second bot or a human support agent engages the user in conversation to execute functionality desired by the user.

Abstract: A method that enables sharing a technology profile is described herein. The method includes determining at least one technology ecosystem of a first user. The method also includes generating a technology profile for the first user from the technology ecosystem, wherein the technology profile comprises components from the technology ecosystem associated with the first user. Finally, the method includes selectively sharing a shared technology profile with a second user, wherein the shared technology profile is determined by the first user and is derived from the technology profile.

Abstract: A system for customizing product documentation. In one example, the system includes an electronic computing device including an electronic processor. The electronic processor is configured to receive, from a user device, log-on credentials, determine, based on the log-on credentials, an organization, and receive, from a database server, product documentation for a product. The electronic processor is also configured to receive, from the database server, modifications for the product documentation that are associated with the organization, apply the modifications to the product documentation to create modified product documentation, and send, to the user device, the modified product documentation.

Abstract: A system and model by which to manage edits to localized versions of base-language electronic content. The model determines the likelihood of whether a modification made to a document is substantive and should be propagated back to the base electronic content and assists users in identifying these edits. The proposed method can significantly improve workflow efficiency and allow users to feel more comfortable in the development and use of their electronic content across multiple authoring platforms.

Abstract: Disclosed are various implementations for a content evaluation application. Various component scores are calculated to reflect a variety of attributes of a document. The component scores may reflect a readability score, a word count, user interactions, content timeliness, or other data. An overall quality score is calculated for a document by applying selected weights to the component scores.

Abstract: Disclosed are various embodiments for a documentation system. Documentation topics for publishing in a node are received from a client. Embodiments of the disclosure determine whether the documentation topic has been assigned a topic identifier. Topic identifiers are assigned if the documentation topic has not been assigned a topic identifier and the documentation topic is assigned to at least one node in the documentation system. The documentation topics are stored in a data store and the topic identifiers are transmitted to the client. The topics are then published in at least one node of the documentation system.

Abstract: Disclosed are various embodiments for a documentation system. Documentation topics for publishing in a node are received from a client. Embodiments of the disclosure determine whether the documentation topic has been assigned a topic identifier. Topic identifiers are assigned if the documentation topic has not been assigned a topic identifier and the documentation topic is assigned to at least one node in the documentation system. The documentation topics are stored in a data store and the topic identifiers are transmitted to the client. The topics are then published in at least one node of the documentation system.