Abstract: A method and apparatus for a self-learning user interface is provided. The method comprises receiving selection data that indicates a first plurality of user selections with respect to a first plurality of views of a workflow associated with a task; receiving an instruction to initiate a current session of the workflow; accessing the selection data and one or more models of user behavior generated from a second plurality of user selections associated with a plurality of users; determining a plurality of elements that were not selected by the user; determining to remove at least one of the first plurality of views of the workflow or a subset of the plurality of elements; generating a second plurality of views of web content for the user by excluding the removed at least one of the first plurality of views of the workflow or the removed subset of the plurality of elements.

Abstract: Systems and methods are provided for dynamically ordering advertisements received from at least one advertisement supplier. In one embodiment, a method includes sending a request to at least a first advertisement supplier; receiving one or more advertisements from the at least first advertisement supplier; identifying a prioritizing parameter associated with each of the one or more advertisements; and dynamically ordering the one or more advertisements from the at least first advertisement supplier into two or more positions of a response based on the prioritizing parameter.

Abstract: A federated system and methods and mechanisms of implementing and using such a system is disclosed. In some embodiments, one or more mappings are created between a taxonomy view at a node and one or more taxonomies of one or more data sources. The one or more data sources can then be accessed via the taxonomy view. In other embodiments, one or more mappings are created between content from different data sources and content from those data sources are merged using the one or more mappings.