Crowd learning was the buzzword when Intelligent Indexing hit the market. It was the key to getting a large pool of input for machine learning and rule-based mechanisms from a wide variety of documents and lots of user feedback.
Machine learning technology is now so mature that even when documents are analyzed for the first time, crowd learning does not show a marked positive effect on the quality of index suggestions. Therefore, with machine learning still the focus, learning is now more customer-specific, meaning the service learns from the documents and user feedback within a company.
All marketing and sales materials have been updated to reflect this change.