Abstract: The disclosed embodiments provide a system for personalizing content authoring. During operation, the system obtains interaction data containing interactions between a set of users and a set of features of a content management system (CMS). Next, the system tracks preferences of the users toward the features in a set of attributes representing the interaction data and a context associated with the interactions. During access to the CMS by a user, the system uses the attributes to identify other users that are similar to the user. Next, the system uses attributes for the user and the other users to calculate a set of weighted ratings between the user and the features. The system then generates output for prioritizing, for the user, the features within a user interface of the CMS according to the set of weighted ratings.

Abstract: The disclosed embodiments provide a system for performing distributed incremental content publishing. The system includes a number of content sources and a message queue. Each content source receives or publishes an event containing a change to content over the message queue. When an event containing a change to content is received, a content source calculates a proof of work from the change. The content source then broadcasts the proof of work for verification by the other content sources. Alternatively, the content source receives the proof of work from another content source and verifies the proof of work. After the proof of work is verified, the content sources record the change by storing, in a blockchain, a block containing the change and the proof of work.

Abstract: The disclosed embodiments provide a system for personalizing content authoring. During operation, the system obtains interaction data containing interactions between a set of users and a set of features of a content management system (CMS). Next, the system tracks preferences of the users toward the features in a set of attributes representing the interaction data and a context associated with the interactions. During access to the CMS by a user, the system uses the attributes to identify other users that are similar to the user. Next, the system uses attributes for the user and the other users to calculate a set of weighted ratings between the user and the features. The system then generates output for prioritizing, for the user, the features within a user interface of the CMS according to the set of weighted ratings.