5. A computerized method for retrieving documents, the method implemented using at least one processor and memory and comprising: searching for one or more second documents based on at least one input document; identifying one or more second documents as more probably related to the at least one input document more than one or more of the other second documents using a learning machine; and wherein identifying the one or more of the second documents includes defining a multi-dimensional feature vector for each second document, with the vector having a set of features including a similarity feature indicating similarity of at least a portion of a said second document to a portion of the at least one input document and processing the multi-dimensional feature vector using support-vector processing, wherein each of the feature vectors is based on a title similarity score for one or more portions of a said second document and the at least one input document.
5. A computerized method for retrieving documents, the method implemented using at least one processor and memory and comprising: searching for one or more second documents based on at least one input document; identifying one or more second documents as more probably related to the at least one input document more than one or more of the other second documents using a learning machine; and wherein identifying the one or more of the second documents includes defining a multi-dimensional feature vector for each second document, with the vector having a set of features including a similarity feature indicating similarity of at least a portion of a said second document to a portion of the at least one input document and processing the multi-dimensional feature vector using support-vector processing, wherein each of the feature vectors is based on a title similarity score for one or more portions of a said second document and the at least one input document. 8. The method of claim 5 , wherein searching for a set of one or more second documents based on at least one input document, comprises: parsing an input document; defining one or more queries based results of parsing; and executing the one or more queries against one or more databases.