8. The method according to claim 7 , wherein said step of submitting keywords includes the step of: searching for products or content on a website.
7. A method for personalized search, the method comprising the steps of: submitting keywords to a search engine at a computer to generate keyword search results; presenting said keyword search results from the computer to a user; receiving user-specific search results at the computer; rating relevancy of the user-specific search results according to user response; developing or updating user, keyword, and content profiles, each of the respective profiles being in vector form; updating the keyword profiles and content profiles, and displaying updated search results to the user, such that said user and each object or a group profile thereof are symmetric with each other and are each profiled through an individual vector such that the values and number of dimensions of said vectors are based solely on the user responses to the objects; clustering and synthesizing an updated set of keywords; generating target objects by matching a. profile of said user with profiles in a target object catalog and ranking against said profile of said user, presenting said user with top-ranking target objects, such that said top-ranking target objects are tailored to said user, wherein the presented target objects are restricted to the object type of the user-selected search result; and further wherein the user vector, keyword vector, and the content vector each have a respective number of dimensions: and further wherein the predicted relevancy rating of a content object to a search keyword is calculated by matching their object vectors: and further wherein object vectors are generated by producing object vectors having respective initial dimensions, determining predicted relevancy ratings based on the initial object vectors, and calculating a cost function as the mean squared difference between the predicted relevancy ratings and the user relevancy ratings across all said user relevancy ratings; and further wherein the dimensions of the generated object vectors are iteratively increased, and the values of the added dimensions are calculated to reduce said cost function, until said cost function reaches a predetermined value and wherein the user relevancy ratings are based on user response to search results; and further wherein the user vectors are generated from the said content object vectors and said user relevancy ratings derived from said user response.