1. A computer-implemented method, comprising: using a first computer-implemented system to receive an activity stream, wherein the activity stream comprises a first plurality of computer-implemented objects, wherein the first plurality of computer-implemented objects are temporally sequenced; selecting a first computer-implemented object of the first plurality of computer-implemented objects as a context for a recommendation of a second computer implemented object, wherein the selecting of the first computer-implemented object is performed in accordance with a direct request for the recommendation by a user who receives the activity stream; and receiving the recommendation of the second computer-implemented object, wherein the recommendation is generated by a recommender function executed on a processor-based computing device, wherein the recommender function generates the recommendation based, at least in part, on an inference of the user's interests from a plurality of usage behaviors and a contextualization associated with the context, wherein the contextualization comprises fuzzy network-based affinities between the selected first computer-implemented object and a second plurality of computer-implemented objects, wherein one of the second plurality of computer-implemented objects is the second computer-implemented object.