1. An adaptive recommendation method comprising: interacting with a content aspect comprising information; interacting with a computer-implemented structural aspect comprising the content aspect and associated relationships; contributing behaviors to a usage aspect, the usage aspect comprising captured usage behaviors, wherein the usage behaviors are associated with one or more users corresponding to a plurality of usage behavior categories; and applying a user tunable adaptive recommendation to navigate the computer-implemented structural aspect, the adaptive recommendation being based, at least in part, on an automatic inference of a preference of a user from a plurality of the captured usage behaviors associated with the one or more users corresponding to a plurality of usage behavior categories.
1. An adaptive recommendation method comprising: interacting with a content aspect comprising information; interacting with a computer-implemented structural aspect comprising the content aspect and associated relationships; contributing behaviors to a usage aspect, the usage aspect comprising captured usage behaviors, wherein the usage behaviors are associated with one or more users corresponding to a plurality of usage behavior categories; and applying a user tunable adaptive recommendation to navigate the computer-implemented structural aspect, the adaptive recommendation being based, at least in part, on an automatic inference of a preference of a user from a plurality of the captured usage behaviors associated with the one or more users corresponding to a plurality of usage behavior categories. 7. The method of claim 1 , applying a user tunable adaptive recommendation to navigate the computer-implemented structural aspect, the adaptive recommendation being based, at least in part, on an automatic inference of a preference of a user from a plurality of the captured usage behaviors associated with the one or more users corresponding to a plurality of usage behavior categories comprises: inferring a user interest derived from, at least in part, usage behaviors.