1. A computer-implemented method for recommending unlike items to users without requiring historic user data nor rating of specific items, the method comprising the steps of: a) determining a set of style dimensions; b) mapping a plurality of lifestyle images to said set of style dimensions wherein each mapped lifestyle image has an individual image vector; c) mapping a plurality of items to said set of style dimensions to create a database wherein each mapped item has an individual item vector; d) deploying a website having a user interface for interaction with users; e) presenting a matrix of mapped lifestyle images to a user; f) the user choosing one of said mapped lifestyle images from said matrix according to the user's qualitative visual style preference; g) repeating steps (e) and (f) until M choices of lifestyle images have been made; h) aggregating said individual image vectors of said M lifestyle image choices; i) processing and transforming said aggregated individual image vectors of said M lifestyle image choices using software configured to run on a computer processor to generate a user vector, said user vector representative of the user's style; j) comparing and applying said user vector to individual item vectors in said database via a computer-implemented algorithm to identify and recommend discrete items to the user; and k) presenting said discrete items to the user for potential selection and additional action.