1. A computer-implemented method for providing information selected from a large set of digital content to at least one user, the method comprising: receiving user context information associated with the at least one user; identifying or generating, using at least one processor executing stored program instructions, a first concept in a semantic network, the first concept representing at least a portion of the user context information, wherein, after performance of the identifying or generating, the semantic network comprises a first node representing the first concept; synthesizing a second concept, semantically relevant to the first concept, and augmenting the semantic network with a second node representing the second concept, the second node being different from the first node, the synthesizing comprising: identifying in the semantic network a third concept that, together with the first concept or a parent or sibling concept of the first concept, co-defines a fourth concept in the semantic network, and combining the first concept and the third concept to synthesize the second concept; and providing information to the at least one user, wherein the information is selected by using the first concept and the synthesized second concept semantically relevant to the first concept, wherein the first and second concepts in the semantic network are represented by at least one data structure storing data associated with the first and second nodes.
6. The computer-implemented method of claim 1 , wherein the semantic network is user-specific.