2. A system according to claim 1 , wherein the plurality of documents comprises relevant documents and non-relevant documents relative to the user query, and wherein said host computing element further receives a positive feedback input comprising a selection of at least one of the relevant documents; wherein said host computing element is further configured to receive a negative feedback input comprising a selection of at least one of the non-relevant documents; wherein said host computing element is further configured to refine the query language model based on the initial user input and at least one of the positive feedback input and the negative feedback input; wherein said host computing element is further configured to re-compute the language-modeling kernel as an integration of the query language model and the document language models based at least in part upon replacing the query language model component of the language modeling kernel with the refined query language model; wherein said host computing element is further configured to generate a decision boundary in a new vector space determined by the re-computed language-modeling kernel between the document language models corresponding to the selected relevant documents and the document language models corresponding to the selected non-relevant documents such that the decision boundary is substantially equidistant from the document language models corresponding to the relevant documents and the document language models corresponding to the non-relevant documents; and wherein said host computing element is further configured to re-rank each of the plurality of documents based at least in part according to the generated boundary in the new vector space.
12. A system according to claim 2 , wherein the new vector space comprises a high dimensional vector space, which is systematically and dynamically determined by the re-computed language-modeling kernel using a language modeling technique selected from the group consisting of: term frequency determinations, term-term co-occurrence relationship determinations, term distribution determinations in the positive feedback input, term distribution determinations in a pre-defined user profile, term distribution determinations in a dynamically generated user profile, and combinations thereof.