1. A system for personalized search, comprising: (a) a service system for searching, collecting relevancy feedback, and acquiring content; (b) subjects and objects represented in vector form; (c) optimal subject and object vectors derived solely from said subject's relevancy ratings of objects; and (d) search results to, and collecting relevancy ratings from, an external application; whereby said system does not need to know anything about object content, does not need to know anything about subject demographics, employs statistical/neural network modeling by means of input modeling rather than transfer function, uses a fixed size profile for subjects and objects for scalable processing, all accomplished in a mentor-less and self-optimizing fashion, scalable to large numbers of users and objects.