System and method for providing correlated content organization in an enterprise content management system based on a training set

Abstract

Described herein are systems and methods for providing a correlated content organization in a content management system based upon a training set. In accordance with an embodiment, the systems and methods described herein can build a training set based upon observations of received inputs to determine patterns that are used often in content merges. Once a pattern is established, the systems and methods can provide indications of proposed merges based upon the training set and rules established therefrom that fit the same, or similar (e.g., within a defined variant) of the pattern. The system can then receive an indication of whether the suggestion is accepted or rejected, and such decision can be fed back into the learning system. This way the accuracy of the content merge improves over time.