1. A system of retrieving documents comprising the steps of: coding a plurality of stored documents as respective document feature vector; generating a query feature vector based on a query document; and performing one or more logical operations between the query feature vector and said document feature vector to obtain respective similarity measures.
1. A system of retrieving documents comprising the steps of: coding a plurality of stored documents as respective document feature vector; generating a query feature vector based on a query document; and performing one or more logical operations between the query feature vector and said document feature vector to obtain respective similarity measures. 7. The system of claim 1 , wherein a matrix formed by the feature vector representing the documents to be searched is stored column-wise, and wherein said method further comprises: for those columns of the matrix where the query feature vector bit is set, performing a processor supported bitwise operation between the columns of the matrix to obtain one or more result columns, the values in the result columns representing the similarity between the query and the stored documents.